Jin Ku Kang

25 total papers · 748 total citations
22 papers, 339 citations indexed

About

Jin Ku Kang is a scholar working on Infectious Diseases, Molecular Biology and Surgery. According to data from OpenAlex, Jin Ku Kang has authored 22 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Jin Ku Kang's work include Clostridium difficile and Clostridium perfringens research (6 papers), Liver Disease Diagnosis and Treatment (3 papers) and Antimicrobial Peptides and Activities (3 papers). Jin Ku Kang is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (6 papers), Liver Disease Diagnosis and Treatment (3 papers) and Antimicrobial Peptides and Activities (3 papers). Jin Ku Kang collaborates with scholars based in South Korea, United States and Canada. Jin Ku Kang's co-authors include Ho Kim, Hyo Jung Nam, Jae Sam Hwang, Heon Seok, Utpal B. Pajvani, Keun Jae Ahn, Charalabos Pothoulakis, J. Thomas LaMont, KyeongJin Kim and Junjie Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jin Ku Kang

22 papers receiving 337 citations

Author Peers

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

Author Last Decade Papers Cites
Jin Ku Kang 149 74 56 48 44 22 339
Nicholas D. LeBlond 205 1.4× 113 1.5× 95 1.7× 39 0.8× 29 0.7× 14 397
Hui Xu 150 1.0× 75 1.0× 40 0.7× 34 0.7× 66 1.5× 24 356
Michal Magid-Slav 129 0.9× 74 1.0× 18 0.3× 30 0.6× 65 1.5× 14 353
Huimin Li 96 0.6× 192 2.6× 50 0.9× 51 1.1× 17 0.4× 36 392
Cristina Velez‐delValle 167 1.1× 89 1.2× 31 0.6× 107 2.2× 19 0.4× 22 380
Saša Simčič 118 0.8× 63 0.9× 31 0.6× 83 1.7× 27 0.6× 36 381
Akina Nara 107 0.7× 67 0.9× 32 0.6× 61 1.3× 18 0.4× 25 357
D. Howat 141 0.9× 51 0.7× 23 0.4× 68 1.4× 77 1.8× 28 358
Esteban A. Gómez 114 0.8× 40 0.5× 40 0.7× 35 0.7× 29 0.7× 14 362
Viviane Nascimento Da Conceicao 142 1.0× 84 1.1× 24 0.4× 43 0.9× 30 0.7× 18 368

Countries citing papers authored by Jin Ku Kang

Since Specialization
Citations

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

Fields of papers citing papers by Jin Ku Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Ku Kang

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