Do H. Kim
Impact in
- Infectious Diseases top 5%
- Viral Infections and Outbreaks Research
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- Emergency Medical Services top 5%
Papers in
- Oncology 12
-
- Lymphoma Diagnosis and Treatment 11
- Co-authors
- Larry Zeitlin (7 shared papers)Kevin J. Whaley (5 shared papers)Ognian Bohorov (3 shared papers)Michael Pauly (3 shared papers)Ernie Hiatt (2 shared papers)Josh Morton (2 shared papers)W.T. Kim (2 shared papers)Gene G. Olinger (2 shared papers)
- Journals
- Human Pathology (3 papers)The American Journal of Surgical Pathology (2 papers)Science Translational Medicine (2 papers)Modern Pathology (2 papers)Radiation Research (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Do H. Kim
42 papers receiving 788 citations
Peers
Comparison fields: 5 of 89
- Infectious Diseases 285
- Emergency Medical Services 51
- Biomaterials 92
- Biotechnology 57
- Hepatology 36
Countries citing papers authored by Do H. Kim
This map shows the geographic impact of Do H. 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 H. 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 H. Kim more than expected).
Fields of papers citing papers by Do H. Kim
This network shows the impact of papers produced by Do H. 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 H. Kim. The network helps show where Do H. Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Do H. 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 177 | |
| 2 | 2021 | 59 | |
| 3 | 2012 | 46 | |
| 4 | 2012 | 41 | |
| 5 | 2014 | 39 | |
| 6 | 2015 | 38 | |
| 7 | 2022 | 33 | |
| 8 | 2017 | 32 | |
| 9 | 2014 | 30 | |
| 10 | 2019 | 25 | |
| 11 | 2011 | 22 | |
| 12 | 2011 | 20 | |
| 13 | 2022 | 20 | |
| 14 | 2008 | 19 | |
| 15 | 2012 | 19 | |
| 16 | 2017 | 19 | |
| 17 | 2024 | 16 | |
| 18 | 2007 | 13 | |
| 19 | 2009 | 13 | |
| 20 | 2019 | 12 |
About Do H. Kim
Do H. Kim is a scholar working on Oncology, Pathology and Forensic Medicine, Surgery, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 802 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Viral gastroenteritis research and epidemiology (4 papers), Viral Infections and Outbreaks Research (4 papers), Magnesium Alloys: Properties and Applications (4 papers), Aluminum Alloys Composites Properties (4 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Aluminum Alloy Microstructure Properties (3 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Infectious Diseases (285 citations), Emergency Medical Services (51 citations), Biomaterials (92 citations), Biotechnology (57 citations) and Hepatology (36 citations). Do H. Kim has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Larry Zeitlin, Kevin J. Whaley, Ognian Bohorov, Michael Pauly, Ernie Hiatt, Josh Morton, W.T. Kim, Gene G. Olinger, James Pettitt and Sangho Sohn. Their work appears in journals such as Human Pathology, The American Journal of Surgical Pathology, Science Translational Medicine, Modern Pathology and Radiation Research.
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.