Kwang‐Mook Jung
- Pharmacology top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Cognitive Neuroscience top 5%
- Physiology top 5%
- Co-authors
- Daniele PiomelliKen MackieMatthew M. WallaceGiuseppe AstaritaIstván KatonaNicholas V. DiPatrizioCatherine LedentGabriella M. Urbán
- Topics
- Cannabis and Cannabinoid Research (31 papers)Neuroscience and Neuropharmacology Research (13 papers)Sphingolipid Metabolism and Signaling (8 papers)
- Journals
- Journal of Biological ChemistryAngewandte Chemie International EditionNature Communications
- Partner nations
- United StatesItalySouth Korea
In The Last Decade
Kwang‐Mook Jung
58 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 108
- Pharmacology 1.4k
- Cellular and Molecular Neuroscience 1.2k
- Molecular Biology 895
- Cognitive Neuroscience 610
- Physiology 509
Countries citing papers authored by Kwang‐Mook Jung
This map shows the geographic impact of Kwang‐Mook Jung'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 Kwang‐Mook Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwang‐Mook Jung more than expected).
Fields of papers citing papers by Kwang‐Mook Jung
This network shows the impact of papers produced by Kwang‐Mook Jung. 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 Kwang‐Mook Jung. The network helps show where Kwang‐Mook Jung may publish in the future.
Co-authorship network of co-authors of Kwang‐Mook Jung
This figure shows the co-authorship network connecting the top 25 collaborators of Kwang‐Mook Jung. A scholar is included among the top collaborators of Kwang‐Mook Jung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kwang‐Mook Jung. Kwang‐Mook Jung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 12 | |
| 4 | 4 | |
| 5 | 25 | |
| 6 | 18 | |
| 7 | 1 | |
| 8 | 22 | |
| 9 | 29 | |
| 10 | 64 | |
| 11 | 16 | |
| 12 | 64 | |
| 13 | 207 | |
| 14 | 8 | |
| 15 | 36 | |
| 16 | 405 | |
| 17 | 38 | |
| 18 | 167 | |
| 19 | 249 | |
| 20 | 1 |
About Kwang‐Mook Jung
Kwang‐Mook Jung is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 60 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (31 papers), Neuroscience and Neuropharmacology Research (13 papers) and Sphingolipid Metabolism and Signaling (8 papers). The work is most often cited by research in Pharmacology (1.4k citations), Cellular and Molecular Neuroscience (1.2k citations) and Cognitive Neuroscience (610 citations). Kwang‐Mook Jung has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Daniele Piomelli, Ken Mackie, Matthew M. Wallace, Giuseppe Astarita, István Katona, Nicholas V. DiPatrizio, Catherine Ledent, Gabriella M. Urbán, Tamás F. Freund and Elizabeth Head. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Nature Communications.
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.