Kefeng Niu

23 total papers · 3.3k total citations
13 papers, 359 citations indexed

About

Kefeng Niu is a scholar working on Social Psychology, Ecology and Molecular Biology. According to data from OpenAlex, Kefeng Niu has authored 13 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Social Psychology, 7 papers in Ecology and 4 papers in Molecular Biology. Recurrent topics in Kefeng Niu's work include Primate Behavior and Ecology (7 papers), Wildlife Ecology and Conservation (6 papers) and Gut microbiota and health (4 papers). Kefeng Niu is often cited by papers focused on Primate Behavior and Ecology (7 papers), Wildlife Ecology and Conservation (6 papers) and Gut microbiota and health (4 papers). Kefeng Niu collaborates with scholars based in China, United States and Italy. Kefeng Niu's co-authors include Chia L. Tan, Yeqin Yang, Katherine R. Amato, Vanessa L. Hale, Rob Knight, Duoying Cui, Qikun Zhang, Hongxia Zhao, Erin P. Riley and Jessica L. Metcalf and has published in prestigious journals such as Microbial Ecology, Journal of Comparative Physiology A and Journal of Microbiological Methods.

In The Last Decade

Kefeng Niu

12 papers receiving 354 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kefeng Niu 222 118 104 69 54 13 359
Jennifer Danzy Cramer 117 0.5× 104 0.9× 62 0.6× 63 0.9× 44 0.8× 19 347
Jessica Satkoski Trask 100 0.5× 83 0.7× 33 0.3× 33 0.5× 13 0.2× 25 368
Ha Thang Long 282 1.3× 75 0.6× 48 0.5× 97 1.4× 79 1.5× 5 358
Sonja K. Heinrich 113 0.5× 34 0.3× 193 1.9× 57 0.8× 13 0.2× 14 372
Gail W. Hearn 40 0.2× 82 0.7× 146 1.4× 56 0.8× 7 0.1× 19 397
Sophie Lafosse 168 0.8× 73 0.6× 88 0.8× 104 1.5× 34 0.6× 15 388
Mieko Kiyono 32 0.1× 224 1.9× 94 0.9× 52 0.8× 17 0.3× 17 344
Alejandro Laspiur 140 0.6× 34 0.3× 97 0.9× 30 0.4× 11 0.2× 23 351
Alexandra Alexiev 285 1.3× 40 0.3× 80 0.8× 89 1.3× 36 0.7× 13 379
Frédéric Touzalin 79 0.4× 17 0.1× 92 0.9× 57 0.8× 59 1.1× 11 319

Countries citing papers authored by Kefeng Niu

Since Specialization
Citations

This map shows the geographic impact of Kefeng Niu'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 Kefeng Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kefeng Niu more than expected).

Fields of papers citing papers by Kefeng Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kefeng Niu. 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 Kefeng Niu. The network helps show where Kefeng Niu may publish in the future.

Co-authorship network of co-authors of Kefeng Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Kefeng Niu. A scholar is included among the top collaborators of Kefeng Niu 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 Kefeng Niu. Kefeng Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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