Baiping Mao

42 total papers · 924 total citations
37 papers, 739 citations indexed

About

Baiping Mao is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Cell Biology. According to data from OpenAlex, Baiping Mao has authored 37 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Reproductive Medicine, 13 papers in Public Health, Environmental and Occupational Health and 9 papers in Cell Biology. Recurrent topics in Baiping Mao's work include Sperm and Testicular Function (20 papers), Reproductive Biology and Fertility (13 papers) and Microtubule and mitosis dynamics (6 papers). Baiping Mao is often cited by papers focused on Sperm and Testicular Function (20 papers), Reproductive Biology and Fertility (13 papers) and Microtubule and mitosis dynamics (6 papers). Baiping Mao collaborates with scholars based in China, United States and Hong Kong. Baiping Mao's co-authors include Ren‐Shan Ge, Qingquan Lian, C. Yan Cheng, Linxi Li, Chao Li, Xian Shen, Huitao Li, Bruno Silvestrini, Ming Yan and Dolores D. Mruk and has published in prestigious journals such as Biomaterials, The FASEB Journal and Endocrinology.

In The Last Decade

Baiping Mao

35 papers receiving 738 citations

Author Peers

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

Author Last Decade Papers Cites
Baiping Mao 242 224 133 129 119 37 739
S. Chidananda Sharma 75 0.3× 243 1.1× 64 0.5× 137 1.1× 174 1.5× 28 730
Flávia Karina Delella 64 0.3× 293 1.3× 110 0.8× 46 0.4× 48 0.4× 50 898
Marie‐Hélène Perrard 381 1.6× 288 1.3× 145 1.1× 213 1.7× 110 0.9× 25 821
Vikas Dighe 84 0.3× 340 1.5× 187 1.4× 96 0.7× 78 0.7× 48 802
Pierpaolo Aimola 63 0.3× 279 1.2× 103 0.8× 99 0.8× 32 0.3× 36 902
Nicola Antonio Martino 340 1.4× 210 0.9× 113 0.8× 419 3.2× 50 0.4× 53 819
Mingxin Shi 117 0.5× 247 1.1× 276 2.1× 50 0.4× 45 0.4× 30 821
Ahmed Reda 239 1.0× 397 1.8× 16 0.1× 192 1.5× 58 0.5× 37 899
Yaru Xu 69 0.3× 285 1.3× 64 0.5× 61 0.5× 45 0.4× 55 727
Xiaolong Wu 264 1.1× 350 1.6× 120 0.9× 155 1.2× 122 1.0× 75 894

Countries citing papers authored by Baiping Mao

Since Specialization
Citations

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

Fields of papers citing papers by Baiping Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baiping Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Baiping Mao. A scholar is included among the top collaborators of Baiping Mao 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 Baiping Mao. Baiping Mao 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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