Kihong Lim

37 total papers · 1.1k total citations
25 papers, 776 citations indexed

About

Kihong Lim is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Kihong Lim has authored 25 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 10 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Kihong Lim's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Immune Response and Inflammation (6 papers) and Glycosylation and Glycoproteins Research (6 papers). Kihong Lim is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Immune Response and Inflammation (6 papers) and Glycosylation and Glycoproteins Research (6 papers). Kihong Lim collaborates with scholars based in United States, South Korea and Denmark. Kihong Lim's co-authors include Minsoo Kim, Young‐Min Hyun, Hyo-Ihl Chang, David J. Topham, Tara Capece, Seyeon Bae, Richard Miller, Ryan J. Cummings, Edith M. Lord and Andrea M. Amitrano and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

In The Last Decade

Kihong Lim

23 papers receiving 774 citations

Author Peers

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

Author Last Decade Papers Cites
Kihong Lim 454 315 108 99 86 25 776
Hiromi Doi 300 0.7× 272 0.9× 97 0.9× 50 0.5× 193 2.2× 28 892
Catharine J. Andresen 212 0.5× 253 0.8× 181 1.7× 40 0.4× 148 1.7× 26 832
Gertrud M. Hjortø 307 0.7× 300 1.0× 270 2.5× 77 0.8× 39 0.5× 33 734
Lindsey D. Hughes 334 0.7× 200 0.6× 116 1.1× 67 0.7× 19 0.2× 18 674
K J Wieder 254 0.6× 201 0.6× 67 0.6× 50 0.5× 37 0.4× 25 697
Kazushige Sugama 368 0.8× 398 1.3× 106 1.0× 49 0.5× 101 1.2× 25 874
Liliana Guzman‐Rojas 147 0.3× 406 1.3× 255 2.4× 55 0.6× 40 0.5× 23 777
Keisuke Aoyama 280 0.6× 403 1.3× 152 1.4× 44 0.4× 90 1.0× 21 856
Patricia Rueda 221 0.5× 327 1.0× 235 2.2× 66 0.7× 48 0.6× 21 734
Christian Schmees 204 0.4× 329 1.0× 117 1.1× 40 0.4× 24 0.3× 26 754

Countries citing papers authored by Kihong Lim

Since Specialization
Citations

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

Fields of papers citing papers by Kihong Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kihong Lim

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