Kyeong‐Man Kim
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Cell Biology top 10%
- Pharmacology top 10%
- Organic Chemistry
- Co-authors
- Marc G. CaronXiaohan ZhangMei ZhengSrijan AcharyaLarry S. BarakSusan R. RobinsonKenneth J. ValenzanoMin–Ho Oak
- Topics
- Receptor Mechanisms and Signaling (66 papers)Neuropeptides and Animal Physiology (28 papers)Neurotransmitter Receptor Influence on Behavior (26 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Kyeong‐Man Kim
106 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.4k
- Cellular and Molecular Neuroscience 944
- Cell Biology 203
- Pharmacology 140
- Organic Chemistry 127
Countries citing papers authored by Kyeong‐Man Kim
This map shows the geographic impact of Kyeong‐Man 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 Kyeong‐Man Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyeong‐Man Kim more than expected).
Fields of papers citing papers by Kyeong‐Man Kim
This network shows the impact of papers produced by Kyeong‐Man 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 Kyeong‐Man Kim. The network helps show where Kyeong‐Man Kim may publish in the future.
Co-authorship network of co-authors of Kyeong‐Man Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Kyeong‐Man Kim. A scholar is included among the top collaborators of Kyeong‐Man Kim 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 Kyeong‐Man Kim. Kyeong‐Man Kim 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 | 0 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 12 | |
| 7 | 18 | |
| 8 | 13 | |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 14 | |
| 12 | 14 | |
| 13 | 17 | |
| 14 | 8 | |
| 15 | 11 | |
| 16 | 23 | |
| 17 | 7 | |
| 18 | Effects of Morphine and Panax ginseng on the Opioid Receptor-G protein Interactions | 2 |
| 19 | Effect of Panax ginseng on type I hypersensitivity | 2 |
| 20 | Color Image Quantization and Dithering Method based on HVS Characteristics | 1 |
About Kyeong‐Man Kim
Kyeong‐Man Kim is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Molecular Biology, having authored 109 papers that have together received 2.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (66 papers), Neuropeptides and Animal Physiology (28 papers) and Neurotransmitter Receptor Influence on Behavior (26 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (944 citations), Biological Psychiatry (62 citations) and Molecular Biology (1.4k citations). Kyeong‐Man Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Marc G. Caron, Xiaohan Zhang, Mei Zheng, Srijan Acharya, Larry S. Barak, Susan R. Robinson, Kenneth J. Valenzano, Min–Ho Oak, Ningning Sun and Hyun Jin Choi. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Brain 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.