Doo‐Jin Kim
Impact in
- Microbiology top 10%
- Bacterial Infections and Vaccines
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
- Immunology 17
- Immune Response and Inflammation 5
- Immune Cell Function and Interaction 5
- interferon and immune responses 5
- Epidemiology 18
- Influenza Virus Research Studies 16
- Co-authors
- Sang Hwan Seo (7 shared papers)Moo‐Seung Lee (11 shared papers)Haryoung Poo (5 shared papers)Sun‐Woo Yoon (7 shared papers)Dae Gwin Jeong (7 shared papers)Daesub Song (7 shared papers)Jeong-Ki Kim (3 shared papers)Ji Hyung Kim (6 shared papers)
- Journals
- Immune Network (4 papers)The Journal of Immunology (2 papers)Vaccine (2 papers)Immunology Letters (2 papers)Archives of Virology (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Doo‐Jin Kim
52 papers receiving 723 citations
Peers
Comparison fields: 5 of 114
- Microbiology 72
- Infectious Diseases 185
- Immunology 173
- Epidemiology 227
- Endocrinology 21
Countries citing papers authored by Doo‐Jin Kim
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
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-authors
The 25 scholars most cited alongside Doo‐Jin Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 82 | |
| 2 | 2017 | 71 | |
| 3 | 2016 | 51 | |
| 4 | 2012 | 32 | |
| 5 | 2014 | 32 | |
| 6 | 2021 | 31 | |
| 7 | 2020 | 30 | |
| 8 | 2019 | 29 | |
| 9 | 2022 | 28 | |
| 10 | 2012 | 26 | |
| 11 | 2013 | 25 | |
| 12 | 2008 | 22 | |
| 13 | 2015 | 22 | |
| 14 | 2015 | 20 | |
| 15 | 2017 | 20 | |
| 16 | 2023 | 20 | |
| 17 | 2015 | 17 | |
| 18 | 2020 | 17 | |
| 19 | 2023 | 16 | |
| 20 | 2008 | 11 |
About Doo‐Jin Kim
Doo‐Jin Kim is a scholar working on Immunology, Epidemiology, Infectious Diseases, Microbiology and Animal Science and Zoology, having authored 57 papers that have together received 745 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (16 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Immune Response and Inflammation (5 papers), Immune Cell Function and Interaction (5 papers), interferon and immune responses (5 papers), COVID-19 Clinical Research Studies (4 papers), Animal Virus Infections Studies (4 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Microbiology (72 citations), Infectious Diseases (185 citations), Immunology (173 citations), Epidemiology (227 citations) and Endocrinology (21 citations). Doo‐Jin Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sang Hwan Seo, Moo‐Seung Lee, Haryoung Poo, Sun‐Woo Yoon, Dae Gwin Jeong, Daesub Song, Jeong-Ki Kim, Ji Hyung Kim, Young Sang Kim and Woonsung Na. Their work appears in journals such as Immune Network, The Journal of Immunology, Vaccine, Immunology Letters and Archives of Virology.
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.