Research any topic before you write.

Find related topics.Discover entities.See connections.Build a topical map.

Mark Stoneking

Mark Stoneking (born 1 August 1956) is a geneticist currently working as the Group Leader of the Max Planck Institute for Evolutionary Anthropology, of Max Planck Gesellschaft at the University of Leipzig, Germany. He is also Honorary Professor of Biological Anthropology. He works in the field of human evolution, especially the genetic evolution, origin…

[EN, English, English]

Works, Legacy, Career & Regions

Interactive map loads when it comes into view.
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Mark Stoneking. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Known for
Mitochondrial Eve Out of Africa Theory
Alma mater
University of California, Berkeley
Born
(1956-08-01) 1 August 1956 (age 70)
Citizenship
United States
Doctoral advisor
Allan Wilson
Fields
Anthropology, population genetics

Topics to explore

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Education

Professional career and contributions

Legacy

Awards and honours

Filmography

  • NOVA Nova (American TV series)

Bibliography

  • ISBN ISBN (identifier)

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

Mark Stoneking

Nodes77
Edges76
Triples7
Avg. degree1.97
Density0.025974
Components1

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

See the strongest relationship patterns around the current topic before diving into the raw triples.

Mark Stoneking

Top relations

Alma mater · 1
Mark Stoneking → University of California, Berkeley
Born · 1
Mark Stoneking → (1956-08-01) 1 August 1956 (age 70)
Citizenship · 1
Mark Stoneking → United States
Doctoral advisor · 1
Mark Stoneking → Allan Wilson
Fields · 1
Mark Stoneking → Anthropology, population genetics
Known for · 1
Mark Stoneking → Mitochondrial Eve Out of Africa Theory
Workplaces · 1
Mark Stoneking → Max Planck Institute for Evolutionary Anthropology

Important terminology Word statistics

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

human stoneking pp genetics anthropology mitochondrial university eds evolution dna evolutionary humans wilson new isbn variation press genetic cann berkeley

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
SubjectPredicateObjectConfidenceSrc
Mark StonekingAlma materUniversity of California, Berkeley1.00infobox
Mark StonekingBorn(1956-08-01) 1 August 1956 (age 70)1.00infobox
Mark StonekingCitizenshipUnited States1.00infobox
Mark StonekingDoctoral advisorAllan Wilson1.00infobox
Mark StonekingFieldsAnthropology, population genetics1.00infobox
Mark StonekingKnown forMitochondrial Eve Out of Africa Theory1.00infobox
Mark StonekingWorkplacesMax Planck Institute for Evolutionary Anthropology1.00infobox

Related concept clusters Concept neighborhoods

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.