Guifang Jin

28 total papers · 872 total citations
24 papers, 736 citations indexed

About

Guifang Jin is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Guifang Jin has authored 24 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Guifang Jin's work include Carcinogens and Genotoxicity Assessment (5 papers), Phytoestrogen effects and research (5 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). Guifang Jin is often cited by papers focused on Carcinogens and Genotoxicity Assessment (5 papers), Phytoestrogen effects and research (5 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). Guifang Jin collaborates with scholars based in China, United States and Germany. Guifang Jin's co-authors include Bernard F. Godley, Scott W. Ballinger, Bennett Van Houten, Hong Yang, Clifford W. Houston, Courtney M. Townsend, Marschall S. Runge, George A. Stouffer, Stephen R. Hanson and Zhaoyong Hu and has published in prestigious journals such as Circulation, Gastroenterology and Chemosphere.

In The Last Decade

Guifang Jin

23 papers receiving 718 citations

Author Peers

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

Author Last Decade Papers Cites
Guifang Jin 360 126 97 96 94 24 736
Raquel Castellon 399 1.1× 93 0.7× 80 0.8× 137 1.4× 45 0.5× 19 873
Hemant Giri 348 1.0× 115 0.9× 57 0.6× 23 0.2× 39 0.4× 27 802
Eui Seok Shin 403 1.1× 85 0.7× 162 1.7× 171 1.8× 84 0.9× 20 870
June O’Neil 383 1.1× 44 0.3× 63 0.6× 60 0.6× 83 0.9× 23 768
Sanai Sato 419 1.2× 38 0.3× 160 1.6× 106 1.1× 91 1.0× 34 891
L. J. Lewis 309 0.9× 54 0.4× 92 0.9× 30 0.3× 123 1.3× 15 878
Xianqing Mao 397 1.1× 98 0.8× 65 0.7× 12 0.1× 98 1.0× 19 778
Z Rymaszewski 212 0.6× 37 0.3× 87 0.9× 34 0.4× 173 1.8× 28 642
Ayelet Harari 331 0.9× 59 0.5× 82 0.8× 48 0.5× 45 0.5× 30 753
Hamdi Hamdi 317 0.9× 85 0.7× 25 0.3× 197 2.1× 41 0.4× 19 773

Countries citing papers authored by Guifang Jin

Since Specialization
Citations

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

Fields of papers citing papers by Guifang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guifang Jin

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