Huan Jin

45 total papers · 653 total citations
16 papers, 450 citations indexed

About

Huan Jin is a scholar working on Molecular Biology, Infectious Diseases and Ecology. According to data from OpenAlex, Huan Jin has authored 16 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Infectious Diseases and 3 papers in Ecology. Recurrent topics in Huan Jin's work include Metabolomics and Mass Spectrometry Studies (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Bioinformatics and Genomic Networks (4 papers). Huan Jin is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Bioinformatics and Genomic Networks (4 papers). Huan Jin collaborates with scholars based in United States and China. Huan Jin's co-authors include Lisha Kuang, Haining Zhu, Jing Chen, Edward J. Kasarskis, Lei Zhou, Xin Guo, Xinna Ge, Hanchun Yang, Hunter Moseley and Jun Han and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Huan Jin

16 papers receiving 448 citations

Author Peers

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

Author Last Decade Papers Cites
Huan Jin 232 123 121 90 61 16 450
Allan Tereba 222 1.0× 66 0.5× 35 0.3× 100 1.1× 22 0.4× 18 414
Zhenhu Zhao 190 0.8× 152 1.2× 279 2.3× 65 0.7× 30 0.5× 22 549
David Chau 298 1.3× 44 0.4× 69 0.6× 90 1.0× 46 0.8× 18 538
Sharon Tamir 301 1.3× 32 0.3× 112 0.9× 50 0.6× 17 0.3× 25 519
Ingeburg E. Goetz 246 1.1× 50 0.4× 17 0.1× 89 1.0× 39 0.6× 19 473
Fanhua Wei 169 0.7× 25 0.2× 71 0.6× 30 0.3× 26 0.4× 19 420
Yogendra Singh Rajawat 217 0.9× 43 0.3× 50 0.4× 95 1.1× 16 0.3× 13 516
Nicholas C. Huston 373 1.6× 37 0.3× 135 1.1× 25 0.3× 27 0.4× 14 539
Nicola Boschetti 187 0.8× 30 0.2× 161 1.3× 100 1.1× 6 0.1× 17 539
Lin Lei 257 1.1× 26 0.2× 57 0.5× 47 0.5× 51 0.8× 17 464

Countries citing papers authored by Huan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Huan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huan Jin

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