Hongjun Jin

52 total papers · 739 total citations
39 papers, 590 citations indexed

About

Hongjun Jin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Hongjun Jin has authored 39 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Pharmacology. Recurrent topics in Hongjun Jin's work include Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neuropharmacology Research (7 papers) and Phosphodiesterase function and regulation (7 papers). Hongjun Jin is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neuropharmacology Research (7 papers) and Phosphodiesterase function and regulation (7 papers). Hongjun Jin collaborates with scholars based in United States, China and France. Hongjun Jin's co-authors include Zhude Tu, Richard C. Zangar, Hui Liu, Xuyi Yue, Xiang Zhang, Hao Yang, Joel S. Perlmutter, Junfeng Li, Yi‐Long Xi and Hubert Flores and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Hongjun Jin

38 papers receiving 580 citations

Author Peers

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

Author Last Decade Papers Cites
Hongjun Jin 318 74 63 48 48 39 590
Yasuhiro Noda 247 0.8× 52 0.7× 46 0.7× 29 0.6× 43 0.9× 47 505
Renate Thiel 233 0.7× 91 1.2× 24 0.4× 58 1.2× 15 0.3× 31 580
Isao Uemura 307 1.0× 68 0.9× 115 1.8× 25 0.5× 24 0.5× 21 626
Patricia Kreis 377 1.2× 147 2.0× 45 0.7× 51 1.1× 64 1.3× 20 656
Elena Pompili 158 0.5× 80 1.1× 82 1.3× 11 0.2× 66 1.4× 39 521
Mahesh Rachamalla 177 0.6× 33 0.4× 68 1.1× 23 0.5× 36 0.8× 40 692
Jae‐Wan Huh 379 1.2× 88 1.2× 132 2.1× 49 1.0× 48 1.0× 32 660
Qing Zheng 278 0.9× 34 0.5× 63 1.0× 15 0.3× 31 0.6× 39 588
Daisuke Miyazawa 259 0.8× 101 1.4× 55 0.9× 15 0.3× 14 0.3× 32 672
Yanhao Lai 496 1.6× 96 1.3× 16 0.3× 28 0.6× 38 0.8× 36 661

Countries citing papers authored by Hongjun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Hongjun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongjun Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Hongjun Jin. A scholar is included among the top collaborators of Hongjun 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 Hongjun Jin. Hongjun Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026