Hongbo Jin

44 total papers · 613 total citations
33 papers, 501 citations indexed

About

Hongbo Jin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Hongbo Jin has authored 33 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Hongbo Jin's work include Neuropeptides and Animal Physiology (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Receptor Mechanisms and Signaling (3 papers). Hongbo Jin is often cited by papers focused on Neuropeptides and Animal Physiology (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Receptor Mechanisms and Signaling (3 papers). Hongbo Jin collaborates with scholars based in China, United States and Japan. Hongbo Jin's co-authors include Yingli Song, Yurong Li, Yanming Sun, Yongchun Zhang, Yongning Wu, Ying Su, Hui Zhu, Jie Xu, Jiao Wang and Peng Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Hongbo Jin

30 papers receiving 488 citations

Author Peers

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

Author Last Decade Papers Cites
Hongbo Jin 207 96 83 82 80 33 501
Linyuan Qin 144 0.7× 69 0.7× 68 0.8× 66 0.8× 43 0.5× 39 465
Michal Jurajda 156 0.8× 86 0.9× 38 0.5× 67 0.8× 74 0.9× 29 588
Xuyang Wang 223 1.1× 49 0.5× 50 0.6× 55 0.7× 99 1.2× 31 534
Jim S. Larsen 200 1.0× 46 0.5× 87 1.0× 99 1.2× 61 0.8× 17 470
Hong Tang 149 0.7× 59 0.6× 61 0.7× 55 0.7× 22 0.3× 30 504
Hongjiao Xu 234 1.1× 61 0.6× 115 1.4× 100 1.2× 31 0.4× 32 566
Guangkuo Dong 228 1.1× 83 0.9× 43 0.5× 58 0.7× 40 0.5× 19 568
Yuanyuan Yao 128 0.6× 56 0.6× 97 1.2× 54 0.7× 25 0.3× 45 530
Teruo Susumu 237 1.1× 41 0.4× 74 0.9× 56 0.7× 108 1.4× 15 575
Wei Wu 260 1.3× 47 0.5× 32 0.4× 80 1.0× 43 0.5× 34 555

Countries citing papers authored by Hongbo Jin

Since Specialization
Citations

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

Fields of papers citing papers by Hongbo Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongbo Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Hongbo Jin. A scholar is included among the top collaborators of Hongbo 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 Hongbo Jin. Hongbo 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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2026