Jonathan Kim
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
Papers in
-
- Retinoids in leukemia and cellular processes 2
- Machine Learning in Bioinformatics 1
- Oncology 7
- Drug Transport and Resistance Mechanisms 4
- Co-authors
- Filippo Mancia (10 shared papers)Rie Nygaard (2 shared papers)Min Luo (1 shared paper)Yibei Xiao (1 shared paper)Ailong Ke (1 shared paper)Robert P. Hayes (1 shared paper)Maofu Liao (1 shared paper)Fang Ding (1 shared paper)
- Journals
- Biophysical Journal (3 papers)Cell (2 papers)Molecular Microbiology (1 paper)iScience (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesAustraliaSingapore
In The Last Decade
Jonathan Kim
21 papers receiving 616 citations
Peers
Comparison fields: 5 of 86
- Structural Biology 39
- Business and International Management 18
- Molecular Biology 430
- Biochemistry 36
- Aging 10
Countries citing papers authored by Jonathan Kim
This map shows the geographic impact of Jonathan 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 Jonathan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Kim more than expected).
Fields of papers citing papers by Jonathan Kim
This network shows the impact of papers produced by Jonathan 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 Jonathan Kim. The network helps show where Jonathan Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 151 | |
| 2 | 2019 | 117 | |
| 3 | 2016 | 112 | |
| 4 | 2020 | 58 | |
| 5 | 2020 | 53 | |
| 6 | 2022 | 25 | |
| 7 | 2022 | 21 | |
| 8 | 2021 | 21 | |
| 9 | 2006 | 12 | |
| 10 | 2010 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2015 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2010 | 2 | |
| 20 | 2022 | 1 |
About Jonathan Kim
Jonathan Kim is a scholar working on Molecular Biology, Oncology, Genetics, Public Health, Environmental and Occupational Health and Cancer Research, having authored 22 papers that have together received 624 indexed citations. Recurring topics across this work include Malaria Research and Control (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Retinoids in leukemia and cellular processes (2 papers), Antioxidant Activity and Oxidative Stress (2 papers), HIV/AIDS drug development and treatment (2 papers), Machine Learning in Bioinformatics (1 paper) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Structural Biology (39 citations), Business and International Management (18 citations), Molecular Biology (430 citations), Biochemistry (36 citations) and Aging (10 citations). Jonathan Kim has collaborated with scholars based in United States, Australia and Singapore. Frequent co-authors include Filippo Mancia, Rie Nygaard, Min Luo, Yibei Xiao, Ailong Ke, Robert P. Hayes, Maofu Liao, Fang Ding, Oliver B. Clarke and David A. Fidock. Their work appears in journals such as Biophysical Journal, Cell, Molecular Microbiology, iScience and Nature Communications.
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.