Do Kim
Impact in
- Biotechnology top 5%
- Transgenic Plants and Applications
- Neurology top 10%
- Barrier Structure and Function Studies
Papers in ⓘ
-
- Transgenic Plants and Applications 3
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- MicroRNA in disease regulation 2
- Cancer-related molecular mechanisms research 2
- Co-authors
- Qun Lu (3 shared papers)Tiaosi Xing (1 shared paper)Zhibin Yang (1 shared paper)Yanhua Chen (1 shared paper)Ronald W. Dudek (1 shared paper)Stephen J. Gould (1 shared paper)Stephanie J. Mihalik (1 shared paper)James C. Morrell (1 shared paper)
- Journals
- Nature Genetics (1 paper)Alimentary Pharmacology & Therapeutics (1 paper)Journal of Clinical Medicine (1 paper)Toxicology (1 paper)Oncology Reports (1 paper)
- Partner nations
- United StatesSouth KoreaItaly
In The Last Decade
Do Kim
21 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 102
- Biotechnology 180
- Neurology 91
- Oncology 259
- Clinical Biochemistry 63
- Cancer Research 133
Countries citing papers authored by Do Kim
This map shows the geographic impact of Do 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 Do Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Do Kim more than expected).
Fields of papers citing papers by Do Kim
This network shows the impact of papers produced by Do 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 Do Kim. The network helps show where Do Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Do 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 221 | |
| 2 | 1997 | 180 | |
| 3 | 2010 | 135 | |
| 4 | 2009 | 119 | |
| 5 | 2014 | 87 | |
| 6 | 2015 | 69 | |
| 7 | 2018 | 40 | |
| 8 | 2018 | 39 | |
| 9 | 2013 | 24 | |
| 10 | 2007 | 23 | |
| 11 | 2009 | 22 | |
| 12 | 2019 | 19 | |
| 13 | 2018 | 18 | |
| 14 | 2019 | 17 | |
| 15 | 2018 | 11 | |
| 16 | 2014 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2024 | 4 | |
| 19 | 2008 | 3 | |
| 20 | A Case of Primary Aldosteronism with Rhabdomyolysis | 2005 | 2 |
About Do Kim
Do Kim is a scholar working on Biotechnology, Cancer Research, Neurology, Pathology and Forensic Medicine and Physiology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Transgenic Plants and Applications (3 papers), Genetic factors in colorectal cancer (2 papers), Respiratory viral infections research (2 papers), Gastric Cancer Management and Outcomes (2 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers), Barrier Structure and Function Studies (2 papers) and Colorectal Cancer Screening and Detection (2 papers). The work is most often cited by research in Biotechnology (180 citations), Neurology (91 citations), Oncology (259 citations), Clinical Biochemistry (63 citations) and Cancer Research (133 citations). Do Kim has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Qun Lu, Tiaosi Xing, Zhibin Yang, Yanhua Chen, Ronald W. Dudek, Stephen J. Gould, Stephanie J. Mihalik, James C. Morrell, Paul A. Watkins and Katherine A. Sacksteder. Their work appears in journals such as Nature Genetics, Alimentary Pharmacology & Therapeutics, Journal of Clinical Medicine, Toxicology and Oncology Reports.
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.