John Chih Mun Sha

1.1k total citations
25 papers, 528 citations indexed

About

John Chih Mun Sha is a scholar working on Social Psychology, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, John Chih Mun Sha has authored 25 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Social Psychology, 11 papers in Ecology and 10 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in John Chih Mun Sha's work include Primate Behavior and Ecology (19 papers), Animal Behavior and Reproduction (10 papers) and Wildlife Ecology and Conservation (9 papers). John Chih Mun Sha is often cited by papers focused on Primate Behavior and Ecology (19 papers), Animal Behavior and Reproduction (10 papers) and Wildlife Ecology and Conservation (9 papers). John Chih Mun Sha collaborates with scholars based in China, Japan and Singapore. John Chih Mun Sha's co-authors include Goro Hanya, Alfried P. Vogler, Amrita Srivathsan, Rudolf Meier, Michael D. Gumert, Henry Bernard, Lisa Jones‐Engel, Benjamin P. Y.‐H. Lee, Agustín Fuentes and Sharon Chan and has published in prestigious journals such as Science Advances, Physiology & Behavior and Palaeogeography Palaeoclimatology Palaeoecology.

In The Last Decade

John Chih Mun Sha

25 papers receiving 491 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Chih Mun Sha China 12 314 261 139 138 109 25 528
David N. M. Mbora United States 9 319 1.0× 285 1.1× 116 0.8× 64 0.5× 77 0.7× 14 497
Zhonghao Huang China 14 310 1.0× 165 0.6× 204 1.5× 163 1.2× 132 1.2× 44 500
Qihai Zhou China 20 574 1.8× 337 1.3× 401 2.9× 298 2.2× 111 1.0× 57 831
Óscar M. Chaves Brazil 15 528 1.7× 364 1.4× 301 2.2× 179 1.3× 26 0.2× 32 694
Ulrike Streicher Vietnam 9 229 0.7× 146 0.6× 111 0.8× 73 0.5× 29 0.3× 17 379
KAI Nekaris United Kingdom 12 349 1.1× 234 0.9× 101 0.7× 105 0.8× 20 0.2× 17 429
Joseph D. Orkin United States 11 159 0.5× 100 0.4× 115 0.8× 50 0.4× 168 1.5× 26 441
Youbang Li China 14 277 0.9× 182 0.7× 172 1.2× 111 0.8× 112 1.0× 38 448
J. Michael Fay United States 15 383 1.2× 384 1.5× 201 1.4× 165 1.2× 19 0.2× 28 664
Danica J. Stark Malaysia 11 136 0.4× 190 0.7× 58 0.4× 51 0.4× 40 0.4× 26 396

Countries citing papers authored by John Chih Mun Sha

Since Specialization
Citations

This map shows the geographic impact of John Chih Mun Sha's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Chih Mun Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Chih Mun Sha more than expected).

Fields of papers citing papers by John Chih Mun Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Chih Mun Sha. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Chih Mun Sha. The network helps show where John Chih Mun Sha may publish in the future.

Co-authorship network of co-authors of John Chih Mun Sha

This figure shows the co-authorship network connecting the top 25 collaborators of John Chih Mun Sha. A scholar is included among the top collaborators of John Chih Mun Sha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Chih Mun Sha. John Chih Mun Sha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Sha, John Chih Mun, et al.. (2020). Differential responses of non-human primates to seasonal temperature fluctuations. Primates. 61(3). 455–464. 2 indexed citations
3.
Clayton, Jonathan B., Robin Shields‐Cutler, Gabriel A. Al‐Ghalith, et al.. (2019). Bacterial community structure and function distinguish gut sites in captive red‐shanked doucs (Pygathrix nemaeus). American Journal of Primatology. 81(10-11). e22977–e22977. 10 indexed citations
4.
Matsuda, Ikki, F. Gómez, Sylvia Ortmann, et al.. (2019). Retention marker excretion suggests incomplete digesta mixing across the order primates. Physiology & Behavior. 208. 112558–112558. 11 indexed citations
5.
Sha, John Chih Mun, Yamato Tsuji, Akihisa Kaneko, et al.. (2018). Seasonal variation of energy expenditure in Japanese macaques (Macaca fuscata). Journal of Thermal Biology. 76. 139–146. 5 indexed citations
6.
Koda, Hiroki, Augustine Tuuga, Benoît Goossens, et al.. (2018). Nasalization by Nasalis larvatus : Larger noses audiovisually advertise conspecifics in proboscis monkeys. Science Advances. 4(2). eaaq0250–eaaq0250. 14 indexed citations
7.
Matsuda, Ikki, Henry Bernard, Augustine Tuuga, et al.. (2018). Fecal Nutrients Suggest Diets of Higher Fiber Levels in Free-Ranging than in Captive Proboscis Monkeys (Nasalis larvatus). Frontiers in Veterinary Science. 4. 246–246. 14 indexed citations
8.
Sueur, Cédric, et al.. (2018). The influence of kinship and dominance hierarchy on grooming partner choice in free-ranging Macaca mulatta brevicaudus. Primates. 59(4). 377–384. 5 indexed citations
9.
Sha, John Chih Mun, et al.. (2017). Small-scale variability in a mosaic tropical rainforest influences habitat use of long-tailed macaques. Primates. 59(2). 163–171. 1 indexed citations
10.
Matsuda, Ikki, et al.. (2017). Primate Resting Postures: Constraints by Foregut Fermentation?. Physiological and Biochemical Zoology. 90(3). 383–391. 8 indexed citations
11.
Sha, John Chih Mun, et al.. (2017). Estimating activity of Japanese macaques (Macaca fuscata) using accelerometers. American Journal of Primatology. 79(10). 5 indexed citations
12.
Sha, John Chih Mun, et al.. (2015). Environmental complexity and feeding enrichment can mitigate effects of space constraints in captive callitrichids. Laboratory Animals. 50(2). 137–144. 10 indexed citations
13.
Matsuda, Ikki, John Chih Mun Sha, Sylvia Ortmann, et al.. (2015). Excretion patterns of solute and different-sized particle passage markers in foregut-fermenting proboscis monkey (Nasalis larvatus) do not indicate an adaptation for rumination. Physiology & Behavior. 149. 45–52. 35 indexed citations
14.
Sha, John Chih Mun & Goro Hanya. (2013). Diet, Activity, Habitat Use, and Ranging of Two Neighboring Groups of Food‐Enhanced Long‐Tailed Macaques (Macaca fascicularis). American Journal of Primatology. 75(6). 581–592. 74 indexed citations
15.
Sha, John Chih Mun. (2013). Next step for reducing seabird bycatch. Animal Conservation. 16(2). 155–156. 1 indexed citations
16.
Sha, John Chih Mun & Goro Hanya. (2013). Temporal Food Resource Correlates to the Behavior and Ecology of Food-Enhanced Long-Tailed Macaques (Macaca fascicularis). Mammal Study. 38(3). 163–175. 21 indexed citations
18.
Sha, John Chih Mun, Michael D. Gumert, Benjamin P. Y.‐H. Lee, et al.. (2009). Macaque–human interactions and the societal perceptions of macaques in Singapore. American Journal of Primatology. 71(10). 825–839. 63 indexed citations
19.
Sha, John Chih Mun, Michael D. Gumert, Benjamin P. Y.‐H. Lee, et al.. (2009). Status of the long-tailed macaque Macaca fascicularis in Singapore and implications for management. Biodiversity and Conservation. 18(11). 2909–2926. 49 indexed citations
20.
Sha, John Chih Mun, et al.. (2008). Status and Conservation of Proboscis Monkeys (Nasalis larvatus) in Sabah, East Malaysia. 23(1). 107–120. 49 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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