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Cited by 400

The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.

A Guide to the Mammals of China

·2010·Princeton University Press eBooks

Abstract

China's stunning diversity of natural habitats--from parched deserts to lush tropical forests--is home to more than 10 percent of the world's mammal species. A Guide to the Mammals of China is the most comprehensive guide to all 556 species of mammals found in China. It is the only single-volume reference of its kind to fully describe the physical characteristics, geographic distribution, natural history, and conservation status of every species. An up-to-date distribution map accompanies each species account, and color plates illustrate a majority of species. Written by a team of leading specialists, including Professor Wang Sung who provides a history of Chinese mammalogy, A Guide to the Mammals of China is the ideal reference for researchers and a delight for anyone interested in China's rich mammal fauna. The definitive, comprehensive, up-to-date guide to all of China's 556 mammal species High-quality color plates accompany the detailed text Each species account comes with a distribution map Organized taxonomically for easy reference Includes an extensive bibliography

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Registry

Crossref · 10.1515/9781400834112

Cites

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Metadata

Venue
Princeton University Press eBooks
Published
2010-12-31
OpenAlex
W620243575
Cited by
400
References
95
FWCI
14.73
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Guide to the Mammals of China. https://app.cochat.ai/papers/10.1515/9781400834112
The paper
A Guide to the Mammals of China. (2010). Princeton University Press eBooks. https://doi.org/10.1515/9781400834112

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.