Han‐Jong Kim
Impact in
Papers in
-
- Retinoids in leukemia and cellular processes 4
- RNA Interference and Gene Delivery 2
- Mitochondrial Function and Pathology 2
- Genetics 9
- Estrogen and related hormone effects 9
- Co-authors
- Joon‐Young Kim (11 shared papers)John G. Koland (1 shared paper)In‐Kyu Lee (8 shared papers)Soo‐Kyung Lee (3 shared papers)Jae Woon Lee (3 shared papers)Hueng‐Sik Choi (5 shared papers)Young‐Keun Choi (6 shared papers)Hueng-Sik Choi (5 shared papers)
- Journals
- Molecular Endocrinology (5 papers)Journal of Biological Chemistry (4 papers)Biochemical and Biophysical Research Communications (2 papers)Cancer Research (2 papers)PLoS ONE (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Han‐Jong Kim
24 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Oncology 315
- Genetics 260
- Nephrology 59
- Molecular Biology 580
- Endocrinology, Diabetes and Metabolism 104
Countries citing papers authored by Han‐Jong Kim
This map shows the geographic impact of Han‐Jong 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 Han‐Jong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han‐Jong Kim more than expected).
Fields of papers citing papers by Han‐Jong Kim
This network shows the impact of papers produced by Han‐Jong 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 Han‐Jong Kim. The network helps show where Han‐Jong Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Han‐Jong 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 | 1994 | 176 | |
| 2 | 2002 | 136 | |
| 3 | 2008 | 116 | |
| 4 | 2012 | 95 | |
| 5 | 2011 | 80 | |
| 6 | 2004 | 65 | |
| 7 | 1999 | 63 | |
| 8 | 2007 | 45 | |
| 9 | 2014 | 45 | |
| 10 | 2010 | 43 | |
| 11 | 1998 | 42 | |
| 12 | 2011 | 36 | |
| 13 | 1998 | 30 | |
| 14 | 2002 | 30 | |
| 15 | 2004 | 28 | |
| 16 | 2004 | 25 | |
| 17 | 2018 | 22 | |
| 18 | 2007 | 20 | |
| 19 | 2009 | 11 | |
| 20 | 2003 | 10 |
About Han‐Jong Kim
Han‐Jong Kim is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Surgery and Oncology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (9 papers), Nuclear Receptors and Signaling (5 papers), Retinoids in leukemia and cellular processes (4 papers), Biochemical Acid Research Studies (2 papers), Drug Transport and Resistance Mechanisms (2 papers), RNA Interference and Gene Delivery (2 papers), Hormonal Regulation and Hypertension (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Oncology (315 citations), Genetics (260 citations), Nephrology (59 citations), Molecular Biology (580 citations) and Endocrinology, Diabetes and Metabolism (104 citations). Han‐Jong Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Joon‐Young Kim, John G. Koland, In‐Kyu Lee, Soo‐Kyung Lee, Jae Woon Lee, Hueng‐Sik Choi, Young‐Keun Choi, Hueng-Sik Choi, William L. Farrar and Sabyasachi Sanyal. Their work appears in journals such as Molecular Endocrinology, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Cancer Research and PLoS ONE.
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.