Hai‐Ying Jin

49 total papers · 796 total citations
33 papers, 581 citations indexed

About

Hai‐Ying Jin is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Hai‐Ying Jin has authored 33 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Cell Biology and 8 papers in Genetics. Recurrent topics in Hai‐Ying Jin's work include Forensic and Genetic Research (6 papers), melanin and skin pigmentation (6 papers) and Molecular Biology Techniques and Applications (5 papers). Hai‐Ying Jin is often cited by papers focused on Forensic and Genetic Research (6 papers), melanin and skin pigmentation (6 papers) and Molecular Biology Techniques and Applications (5 papers). Hai‐Ying Jin collaborates with scholars based in China, Japan and United States. Hai‐Ying Jin's co-authors include Kowichi Jimbow, Toshiharu Yamashita, Qingsheng Qi, Qian Wang, Kuninori Hirosaki, Wenjing Liu, Tianyuan Su, Pengfei Gu, Qian Wang and Quanfeng Liang and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Journal of Investigative Dermatology.

In The Last Decade

Hai‐Ying Jin

31 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
Hai‐Ying Jin 352 119 92 67 59 33 581
Yanting Wang 212 0.6× 114 1.0× 121 1.3× 70 1.0× 23 0.4× 32 564
Hironori Matsuura 250 0.7× 114 1.0× 114 1.2× 72 1.1× 46 0.8× 24 692
Tian Meng 327 0.9× 90 0.8× 34 0.4× 141 2.1× 59 1.0× 28 694
Bernard S. Gould 200 0.6× 73 0.6× 54 0.6× 52 0.8× 74 1.3× 23 647
Leonard M. Patt 307 0.9× 68 0.6× 30 0.3× 43 0.6× 27 0.5× 20 510
Shingo Tajima 138 0.4× 87 0.7× 89 1.0× 41 0.6× 34 0.6× 16 508
Janin Lehmann 215 0.6× 78 0.7× 48 0.5× 26 0.4× 37 0.6× 23 527
V. K. Hopsu‐Havu 225 0.6× 82 0.7× 29 0.3× 84 1.3× 31 0.5× 28 522
Hitoshi Kudo 439 1.2× 112 0.9× 36 0.4× 39 0.6× 14 0.2× 20 652
G. Péterszegi 98 0.3× 61 0.5× 99 1.1× 108 1.6× 32 0.5× 18 503

Countries citing papers authored by Hai‐Ying Jin

Since Specialization
Citations

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

Fields of papers citing papers by Hai‐Ying Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai‐Ying Jin

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