Shao-Hua Jin

16 total papers · 711 total citations
15 papers, 570 citations indexed

About

Shao-Hua Jin is a scholar working on Reproductive Medicine, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Shao-Hua Jin has authored 15 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Reproductive Medicine, 6 papers in Molecular Biology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Shao-Hua Jin's work include Sperm and Testicular Function (7 papers), Reproductive Biology and Fertility (4 papers) and Heat shock proteins research (2 papers). Shao-Hua Jin is often cited by papers focused on Sperm and Testicular Function (7 papers), Reproductive Biology and Fertility (4 papers) and Heat shock proteins research (2 papers). Shao-Hua Jin collaborates with scholars based in China, United States and United Kingdom. Shao-Hua Jin's co-authors include Fujun Liu, Luke J. Tallon, Mary Kim, Jian Sha, O. Colin Stine, Ashok K. Chopra, R. Seshadri, Joerg Graf, Qinghu Ren and Jonathan G. Shaw and has published in prestigious journals such as PLoS ONE, Journal of Bacteriology and Gene.

In The Last Decade

Shao-Hua Jin

15 papers receiving 558 citations

Author Peers

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

Author Last Decade Papers Cites
Shao-Hua Jin 235 212 158 134 99 15 570
Alejandro Mosquera 270 1.1× 55 0.3× 31 0.2× 63 0.5× 43 0.4× 17 615
Mohamed Moustafa 85 0.4× 139 0.7× 297 1.9× 47 0.4× 213 2.2× 29 562
A Pellegrini 217 0.9× 89 0.4× 76 0.5× 19 0.1× 21 0.2× 21 591
Carla Clemente 179 0.8× 37 0.2× 30 0.2× 40 0.3× 62 0.6× 18 580
Stephanie Déjardin 358 1.5× 224 1.1× 21 0.1× 34 0.3× 45 0.5× 15 633
Stefan Leicht 491 2.1× 66 0.3× 25 0.2× 17 0.1× 51 0.5× 11 688
Randy L. Allen 415 1.8× 46 0.2× 118 0.7× 6 0.0× 138 1.4× 18 651
Therese M. Timmons 351 1.5× 67 0.3× 99 0.6× 7 0.1× 94 0.9× 11 675
Yael Weiss 241 1.0× 111 0.5× 12 0.1× 13 0.1× 108 1.1× 17 628
Dinesh Bhattarai 178 0.8× 66 0.3× 70 0.4× 9 0.1× 86 0.9× 29 614

Countries citing papers authored by Shao-Hua Jin

Since Specialization
Citations

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

Fields of papers citing papers by Shao-Hua Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao-Hua Jin. 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 Shao-Hua Jin. The network helps show where Shao-Hua Jin may publish in the future.

Co-authorship network of co-authors of Shao-Hua Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Shao-Hua Jin. A scholar is included among the top collaborators of Shao-Hua Jin 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 Shao-Hua Jin. Shao-Hua Jin 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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