Heechul Kim
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 7
- Cell Biology 12
- Caveolin-1 and cellular processes 11
- Co-authors
- Taekyun Shin (41 shared papers)Changjong Moon (29 shared papers)Meejung Ahn (27 shared papers)Jeff W. M. Bulte (9 shared papers)Assaf A. Gilad (9 shared papers)Piotr Walczak (7 shared papers)Jee‐Young Lee (8 shared papers)Yoh Matsumoto (10 shared papers)
- Journals
- Brain Research (13 papers)Journal of Veterinary Science (4 papers)Acta Histochemica (4 papers)Cell Biology International (3 papers)Angewandte Chemie International Edition (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Heechul Kim
55 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Developmental Neuroscience 153
- Neurology 154
- Immunology 207
- Cellular and Molecular Neuroscience 176
- Cell Biology 149
Countries citing papers authored by Heechul Kim
This map shows the geographic impact of Heechul 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 Heechul Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heechul Kim more than expected).
Fields of papers citing papers by Heechul Kim
This network shows the impact of papers produced by Heechul 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 Heechul Kim. The network helps show where Heechul Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Heechul 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 171 | |
| 2 | 2006 | 88 | |
| 3 | 2011 | 72 | |
| 4 | 2012 | 70 | |
| 5 | 2005 | 63 | |
| 6 | 2010 | 60 | |
| 7 | 2005 | 54 | |
| 8 | 2011 | 53 | |
| 9 | 2009 | 45 | |
| 10 | 2012 | 44 | |
| 11 | 2012 | 42 | |
| 12 | 2005 | 38 | |
| 13 | 2012 | 36 | |
| 14 | 2006 | 33 | |
| 15 | 2011 | 25 | |
| 16 | 2004 | 25 | |
| 17 | 2012 | 24 | |
| 18 | 2009 | 24 | |
| 19 | 2006 | 23 | |
| 20 | 2005 | 23 |
About Heechul Kim
Heechul Kim is a scholar working on Molecular Biology, Cell Biology, Immunology, Neurology and Physiology, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (11 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Galectins and Cancer Biology (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Lipid metabolism and disorders (5 papers), Erythrocyte Function and Pathophysiology (4 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Developmental Neuroscience (153 citations), Neurology (154 citations), Immunology (207 citations), Cellular and Molecular Neuroscience (176 citations) and Cell Biology (149 citations). Heechul Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Taekyun Shin, Changjong Moon, Meejung Ahn, Jeff W. M. Bulte, Assaf A. Gilad, Piotr Walczak, Jee‐Young Lee, Yoh Matsumoto, Dian R. Arifin and Jin Won Hyun. Their work appears in journals such as Brain Research, Journal of Veterinary Science, Acta Histochemica, Cell Biology International and Angewandte Chemie International Edition.
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.