In-Gyu Kim

8 total papers · 659 total citations
8 papers, 579 citations indexed

About

In-Gyu Kim is a scholar working on Cell Biology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, In-Gyu Kim has authored 8 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cell Biology, 6 papers in Pulmonary and Respiratory Medicine and 3 papers in Molecular Biology. Recurrent topics in In-Gyu Kim's work include Skin and Cellular Biology Research (7 papers), Blood properties and coagulation (6 papers) and Plant Reproductive Biology (2 papers). In-Gyu Kim is often cited by papers focused on Skin and Cellular Biology Research (7 papers), Blood properties and coagulation (6 papers) and Plant Reproductive Biology (2 papers). In-Gyu Kim collaborates with scholars based in United States and New Zealand. In-Gyu Kim's co-authors include Peter M. Steinert, Soo Im Chung, William W. Idler, O. Wesley McBride, Edward J. O’Keefe, David Parry, Lyuben N. Marekov, Jeffrey J. Gorman, Soo Il Chung and Jin‐Hwan Han and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Investigative Dermatology and Genomics.

In The Last Decade

In-Gyu Kim

8 papers receiving 563 citations

Author Peers

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

Author Last Decade Papers Cites
In-Gyu Kim 349 270 178 74 54 8 579
Ludovic Micallef 106 0.3× 50 0.2× 208 1.2× 28 0.4× 26 0.5× 12 690
Michael F. Davitt 134 0.4× 21 0.1× 163 0.9× 49 0.7× 16 0.3× 9 633
Susanna Karvinen 377 1.1× 18 0.1× 312 1.8× 15 0.2× 32 0.6× 5 577
Karin Aufenvenne 275 0.8× 25 0.1× 197 1.1× 13 0.2× 18 0.3× 12 558
Sarah K. Runswick 275 0.8× 39 0.1× 344 1.9× 8 0.1× 22 0.4× 7 680
Ben J. Walthall 119 0.3× 32 0.1× 335 1.9× 8 0.1× 44 0.8× 7 648
Pierre Shephard 74 0.2× 35 0.1× 140 0.8× 27 0.4× 6 0.1× 9 512
Oula El Atat 39 0.1× 31 0.1× 145 0.8× 50 0.7× 85 1.6× 14 557
Priya Govindaraju 148 0.4× 45 0.2× 202 1.1× 9 0.1× 8 0.1× 7 559
Melissa Petreaca 42 0.1× 35 0.1× 208 1.2× 30 0.4× 9 0.2× 9 669

Countries citing papers authored by In-Gyu Kim

Since Specialization
Citations

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

Fields of papers citing papers by In-Gyu Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In-Gyu Kim. 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 In-Gyu Kim. The network helps show where In-Gyu Kim may publish in the future.

Co-authorship network of co-authors of In-Gyu Kim

This figure shows the co-authorship network connecting the top 25 collaborators of In-Gyu Kim. A scholar is included among the top collaborators of In-Gyu Kim 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 In-Gyu Kim. In-Gyu Kim 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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