Baofa Yin

596 total citations
33 papers, 438 citations indexed

About

Baofa Yin is a scholar working on Ecology, Social Psychology and Nature and Landscape Conservation. According to data from OpenAlex, Baofa Yin has authored 33 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ecology, 9 papers in Social Psychology and 8 papers in Nature and Landscape Conservation. Recurrent topics in Baofa Yin's work include Animal Ecology and Behavior Studies (20 papers), Wildlife Ecology and Conservation (10 papers) and Neuroendocrine regulation and behavior (9 papers). Baofa Yin is often cited by papers focused on Animal Ecology and Behavior Studies (20 papers), Wildlife Ecology and Conservation (10 papers) and Neuroendocrine regulation and behavior (9 papers). Baofa Yin collaborates with scholars based in China, United States and Australia. Baofa Yin's co-authors include Wanhong Wei, Shengmei Yang, Xinrong Wan, Zhibin Zhang, Qin Wang, Guoliang Li, Huyin Huai, Le Zhou, Yili Zhang and Baoli Zhu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Science of The Total Environment and Oecologia.

In The Last Decade

Baofa Yin

32 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baofa Yin China 14 217 134 105 92 55 33 438
Stacey R. Tecot United States 15 132 0.6× 423 3.2× 101 1.0× 210 2.3× 21 0.4× 38 593
Tasmin L. Rymer Australia 13 218 1.0× 177 1.3× 23 0.2× 267 2.9× 35 0.6× 68 534
J. Russell Mason United States 13 195 0.9× 116 0.9× 47 0.4× 113 1.2× 42 0.8× 23 535
Xinrong Wan China 15 539 2.5× 133 1.0× 131 1.2× 125 1.4× 156 2.8× 36 836
Urs Kalbitzer Canada 15 162 0.7× 425 3.2× 29 0.3× 279 3.0× 50 0.9× 33 646
Dazhao Shi China 12 463 2.1× 92 0.7× 56 0.5× 69 0.8× 119 2.2× 39 678
José C. Noguera Spain 21 520 2.4× 105 0.8× 115 1.1× 643 7.0× 68 1.2× 42 1.1k
Katrina G. Salvante Canada 20 473 2.2× 97 0.7× 41 0.4× 605 6.6× 42 0.8× 36 1.0k
Edyta T. Sadowska Poland 17 581 2.7× 116 0.9× 97 0.9× 459 5.0× 62 1.1× 62 991
Samantha J. Gray United Kingdom 11 189 0.9× 118 0.9× 25 0.2× 178 1.9× 54 1.0× 15 406

Countries citing papers authored by Baofa Yin

Since Specialization
Citations

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

Fields of papers citing papers by Baofa Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baofa Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Baofa Yin. A scholar is included among the top collaborators of Baofa Yin 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 Baofa Yin. Baofa Yin 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.
Yin, Baofa, et al.. (2024). Geographical distribution and species variation of gut microbiota in small rodents from the agro‐pastoral transition ecotone in northern China. Ecology and Evolution. 14(3). e11084–e11084. 4 indexed citations
3.
Zheng, Zhenzhen, Baofa Yin, Guoliang Li, et al.. (2024). Livestock grazing strengthens the effect of vole activity on the soil microbial community. Geoderma. 451. 117070–117070. 2 indexed citations
4.
Yang, Shengmei, et al.. (2024). Distinct Gut Microbial Enterotypes and Functional Dynamics in Wild Striped Field Mice (Apodemus agrarius) across Diverse Populations. Microorganisms. 12(4). 671–671. 1 indexed citations
5.
6.
Wu, Yan, Yuanbao Du, Xuan Liu, et al.. (2023). Grassland biodiversity response to livestock grazing, productivity, and climate varies across biome components and diversity measurements. The Science of The Total Environment. 878. 162994–162994. 10 indexed citations
7.
Li, Guoliang, Xinrong Wan, Baofa Yin, et al.. (2021). Timing outweighs magnitude of rainfall in shaping population dynamics of a small mammal species in steppe grassland. Proceedings of the National Academy of Sciences. 118(42). 11 indexed citations
8.
Li, Guoliang, Baofa Yin, Jing Li, et al.. (2020). Host-microbiota interaction helps to explain the bottom-up effects of climate change on a small rodent species. The ISME Journal. 14(7). 1795–1808. 37 indexed citations
9.
Wang, Wenjia, Xiaoqian Ding, Shengmei Yang, et al.. (2018). Effects of maternal stress induced by predator odors during gestation on behavioral and physiological responses of offspring in Brandt's vole (Lasiopodomys brandtii). Integrative Zoology. 13(6). 723–734. 18 indexed citations
10.
Yin, Baofa, et al.. (2017). Repeated exposure to cat urine induces complex behavioral, hormonal, and c-fos mRNA responses in Norway rats (Rattus norvegicus). Die Naturwissenschaften. 104(7-8). 64–64. 12 indexed citations
11.
Yin, Baofa, et al.. (2017). Large manipulative experiments reveal complex effects of food supplementation on population dynamics of Brandt’s voles. Science China Life Sciences. 60(8). 911–920. 14 indexed citations
12.
Li, Guoliang, Baofa Yin, Xinrong Wan, et al.. (2015). Successive sheep grazing reduces population density of Brandt’s voles in steppe grassland by altering food resources: a large manipulative experiment. Oecologia. 180(1). 149–159. 30 indexed citations
13.
Marsh, Karen J., Baofa Yin, Inder Pal Singh, et al.. (2015). From Leaf Metabolome to In Vivo Testing: Identifying Antifeedant Compounds for Ecological Studies of Marsupial Diets. Journal of Chemical Ecology. 41(6). 513–519. 13 indexed citations
14.
Ye, Manhong, et al.. (2013). Defensive responses of Brandt's voles (Lasiopodomys brandtii) to chronic predatory stress. Physiology & Behavior. 126. 1–7. 27 indexed citations
15.
Ye, Manhong, et al.. (2013). Defensive responses of Brandt's voles (Lasiopodomys brandtii) to stored cat feces. Physiology & Behavior. 123. 193–199. 34 indexed citations
16.
Wang, Aiqin, et al.. (2013). Effects of physical attributes and chemical composition of novel foods on food selection by Norway rats (Rattus norvegicus). Journal of Pest Science. 87(1). 99–106. 5 indexed citations
17.
Dai, Xin, et al.. (2012). The seasonal changes of plant secondary metabolites and their influence on the food selection of plateau pika. ACTA THERIOLOGICA SINICA. 32(4). 306. 5 indexed citations
18.
Zhou, Le, et al.. (2007). Genetic diversity and differentiation in four natural populations of plateau pika (Ochotona curzoniae). Acta Theriologica Sinica. 27(3). 221. 3 indexed citations
19.
Yang, Shengmei, et al.. (2007). The effect of predation risk on the feeding behavior of the steppe polecat in different starvation conditions. Acta Theriologica Sinica. 350–357. 1 indexed citations
20.
Huai, Huyin, et al.. (2006). Effects of railway traffic on the community structure of rodents in warm steppe along the Qinghai--Tibet Railway. 26(3). 267–273. 6 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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