John Kim
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Tuberculosis Research and Epidemiology 9
- HIV/AIDS drug development and treatment 4
- Co-authors
- George M. Church (2 shared papers)Yonatan H. Grad (2 shared papers)Gary Ruvkun (2 shared papers)Gabriel D. Hayes (2 shared papers)Anna M. Krichevsky (1 shared paper)Kenneth S. Kosik (1 shared paper)Marc D. Succi (7 shared papers)Arya Rao (7 shared papers)
- Journals
- PLoS ONE (3 papers)Blood (3 papers)Proceedings of the National Academy of Sciences (3 papers)Archives of Pharmacal Research (3 papers)Radiographics (3 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
John Kim
115 papers receiving 4.0k citations
John Kim's Hit Papers
Peers
Comparison fields: 5 of 155
- Health Informatics 338
- Cancer Research 532
- Virology 163
- Aging 60
- Infectious Diseases 577
Countries citing papers authored by John Kim
This map shows the geographic impact of John 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 John Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Kim more than expected).
Fields of papers citing papers by John Kim
This network shows the impact of papers produced by John 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 John Kim. The network helps show where John Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside John 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification of many microRNAs that copurify with polyribosomes in mammalian neurons Hit paper breakdown → | 2003 | 469 |
| 2 | 2023 | 247 | |
| 3 | 2003 | 238 | |
| 4 | 2023 | 206 | |
| 5 | Senolytic drugs, dasatinib and quercetin, attenuate adipose tissue inflammation, and ameliorate metabolic function in old age Hit paper breakdown → | 2023 | 194 |
| 6 | 2006 | 175 | |
| 7 | 2011 | 172 | |
| 8 | 1994 | 151 | |
| 9 | 2012 | 138 | |
| 10 | 2005 | 94 | |
| 11 | 2006 | 93 | |
| 12 | 2010 | 90 | |
| 13 | 1997 | 86 | |
| 14 | 2014 | 65 | |
| 15 | 1993 | 64 | |
| 16 | 2022 | 60 | |
| 17 | 2006 | 59 | |
| 18 | 2020 | 58 | |
| 19 | 2007 | 56 | |
| 20 | 2011 | 55 |
About John Kim
John Kim is a scholar working on Infectious Diseases, Molecular Biology, Surgery, Epidemiology and Immunology, having authored 120 papers that have together received 4.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (9 papers), Immune Response and Inflammation (6 papers), Infectious Diseases and Tuberculosis (6 papers), HIV Research and Treatment (5 papers), Hepatitis B Virus Studies (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Mycobacterium research and diagnosis (4 papers) and HIV/AIDS drug development and treatment (4 papers). The work is most often cited by research in Health Informatics (338 citations), Cancer Research (532 citations), Virology (163 citations), Aging (60 citations) and Infectious Diseases (577 citations). John Kim has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include George M. Church, Yonatan H. Grad, Gary Ruvkun, Gabriel D. Hayes, Anna M. Krichevsky, Kenneth S. Kosik, Marc D. Succi, Arya Rao, Winston Lie and Michael Pang. Their work appears in journals such as PLoS ONE, Blood, Proceedings of the National Academy of Sciences, Archives of Pharmacal Research and Radiographics.
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.