Doo‐Jin Kim

100 total papers · 905 total citations
53 papers, 648 citations indexed

About

Doo‐Jin Kim is a scholar working on Immunology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Doo‐Jin Kim has authored 53 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 17 papers in Epidemiology and 12 papers in Infectious Diseases. Recurrent topics in Doo‐Jin Kim's work include Influenza Virus Research Studies (16 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Immune Cell Function and Interaction (7 papers). Doo‐Jin Kim is often cited by papers focused on Influenza Virus Research Studies (16 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Immune Cell Function and Interaction (7 papers). Doo‐Jin Kim collaborates with scholars based in South Korea, United States and Japan. Doo‐Jin Kim's co-authors include Sang Hwan Seo, Moo‐Seung Lee, Haryoung Poo, Dae Gwin Jeong, Sun‐Woo Yoon, Daesub Song, Jeong-Ki Kim, Ji Hyung Kim, Woonsung Na and Chul‐Ho Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Journal of Virology.

In The Last Decade

Doo‐Jin Kim

46 papers receiving 632 citations

Author Peers

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

Author Last Decade Papers Cites
Doo‐Jin Kim 210 204 179 175 66 53 648
Elena Criscuolo 190 0.9× 358 1.8× 171 1.0× 162 0.9× 32 0.5× 37 776
William G. Myers 106 0.5× 69 0.3× 79 0.4× 110 0.6× 29 0.4× 71 747
H. W. Doerr 252 1.2× 247 1.2× 55 0.3× 81 0.5× 33 0.5× 33 580
Bo Liang 312 1.5× 244 1.2× 162 0.9× 75 0.4× 19 0.3× 32 714
Zhenhua Ji 110 0.5× 218 1.1× 283 1.6× 105 0.6× 17 0.3× 44 726
Daniel Strauss 80 0.4× 135 0.7× 308 1.7× 32 0.2× 33 0.5× 37 655
Marco Antonio Vega‐López 86 0.4× 91 0.4× 204 1.1× 192 1.1× 26 0.4× 28 677
Zezhong Liu 53 0.3× 325 1.6× 159 0.9× 123 0.7× 15 0.2× 37 602
Youhui Si 131 0.6× 140 0.7× 299 1.7× 223 1.3× 59 0.9× 39 722
Guido Scalia 299 1.4× 228 1.1× 104 0.6× 57 0.3× 23 0.3× 60 712

Countries citing papers authored by Doo‐Jin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Doo‐Jin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doo‐Jin Kim

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