Do Kim
Impact in
- Biotechnology top 2%
- Transgenic Plants and Applications
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
Papers in
-
- Transgenic Plants and Applications 3
-
- Cell Adhesion Molecules Research 2
- Co-authors
- Qun Lu (3 shared papers)Ronald W. Dudek (1 shared paper)Yanhua Chen (1 shared paper)Zhibin Yang (1 shared paper)Tiaosi Xing (1 shared paper)Katherine A. Sacksteder (1 shared paper)Paul A. Watkins (1 shared paper)James C. Morrell (1 shared paper)
- Journals
- Digestive and Liver Disease (1 paper)Journal of Clinical Medicine (1 paper)mAbs (1 paper)Toxicology (1 paper)Molecules (1 paper)
- Partner nations
- United StatesSouth KoreaItaly
In The Last Decade
Do Kim
22 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Biotechnology 184
- Clinical Biochemistry 118
- Oncology 264
- Neurology 50
- Infectious Diseases 100
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 241 | |
| 2 | 1997 | 208 | |
| 3 | 2010 | 174 | |
| 4 | 2009 | 135 | |
| 5 | 2014 | 100 | |
| 6 | 2019 | 91 | |
| 7 | 2015 | 72 | |
| 8 | 2018 | 47 | |
| 9 | 2018 | 42 | |
| 10 | 2013 | 29 | |
| 11 | 2007 | 24 | |
| 12 | 2009 | 24 | |
| 13 | 2019 | 19 | |
| 14 | 2019 | 18 | |
| 15 | 2018 | 17 | |
| 16 | 2014 | 11 | |
| 17 | 2019 | 8 | |
| 18 | 2024 | 6 | |
| 19 | 2008 | 3 | |
| 20 | A Case of Primary Aldosteronism with Rhabdomyolysis | 2005 | 2 |
About Do Kim
Do Kim is a scholar working on Biotechnology, Immunology and Allergy, Oncology, Infectious Diseases and Physiology, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Transgenic Plants and Applications (3 papers), Cell Adhesion Molecules Research (2 papers), Colorectal Cancer Screening and Detection (2 papers), Phytochemistry and Biological Activities (1 paper), Metabolism and Genetic Disorders (1 paper), Anesthesia and Pain Management (1 paper), Cancer Cells and Metastasis (1 paper) and Infectious Encephalopathies and Encephalitis (1 paper). The work is most often cited by research in Biotechnology (184 citations), Clinical Biochemistry (118 citations), Oncology (264 citations), Neurology (50 citations) and Infectious Diseases (100 citations). Do Kim has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Qun Lu, Ronald W. Dudek, Yanhua Chen, Zhibin Yang, Tiaosi Xing, Katherine A. Sacksteder, Paul A. Watkins, James C. Morrell, Stephanie J. Mihalik and Stephen J. Gould. Their work appears in journals such as Digestive and Liver Disease, Journal of Clinical Medicine, mAbs, Toxicology and Molecules.
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.