Research any topic before you write.

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

Incan caenolestid

The Incan caenolestid (Lestoros inca), also known as the Incan shrew opossum or Peruvian caenolestid, is a caenolestid found in the southern Peruvian Andes. It was first described by English zoologist Oldfield Thomas in 1917. The head-and-body length ranges from 9 to 11.5 centimetres (3.5 to 4.5 in), and the weight is between 25 and 32 grams (0.88 and…

Description, Taxonomy & Distribution and status

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 Incan caenolestid. 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.

Description

SnoutSexual dimorphismCraniumMandibleRostrum
11 related topics

Taxonomy

CaenolestidaeEoceneMyaCaenolestesMorphological
10 related topics

Distribution and status

BaccharisPeruBolivia
3 related topics

Ecology and behavior

EctoparasitesPterygodermatites
2 related topics

Topics to explore

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

Overview

Taxonomy

Description

Ecology and behavior

Distribution and status

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

Incan caenolestid

Nodes43
Edges42
Triples43
Avg. degree1.95
Density0.046512
Components1

How this topic connects Entity context

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

Incan caenolestid

Top relations

related to Taxonomy · 16
Incan caenolestid → Caenolestes, Caenolestid, Caenolestidae, DNA-based, English, Eocene, In, Incan, It, Lestoros, Oldfield Thomas, Orolestes, Over, Rhyncholestes, The, The Incan
related to Description · 10
Incan caenolestid → Basically, Caenolestes, External, Incan, Like, Sexual, The, The Incan, This, Weight
related to Distribution and status · 9
Incan caenolestid → Baccharis, Bolivia, It, IUCN, Peru, Peruvian Andes, South America, The Incan, There
related to Ecology and behavior · 6
Incan caenolestid → Incan, It, Like, Little, Observations, Pterygodermatites
is a · 1
Incan caenolestid → sole member of its genus

Important terminology Word statistics

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

Important terminology

caenolestid incan thomas shrew 1917 inca caenolestes lestoros known least concern opossum iucn opossums invertebrates study 11 13 small orolestes

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Incan caenolestidis asole member of its genus0.90text
missing or supernumerary teethinstance ofit may have dental anomalies0.80text
Incan caenolestidrelated to DescriptionThe Incan0.60section
Incan caenolestidrelated to DescriptionCaenolestes0.60section
Incan caenolestidrelated to DescriptionSexual0.60section
Incan caenolestidrelated to DescriptionExternal0.60section
Incan caenolestidrelated to DescriptionWeight0.60section
Incan caenolestidrelated to DescriptionBasically0.60section
Incan caenolestidrelated to DescriptionThis0.60section
Incan caenolestidrelated to DescriptionThe0.60section
Incan caenolestidrelated to DescriptionLike0.60section
Incan caenolestidrelated to DescriptionIncan0.60section

Related concept clusters Concept neighborhoods

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

    Connections between topic areas Semantic bridges

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

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.