Byung Kook Lim
- Cellular and Molecular Neuroscience top 0.5%
- Cognitive Neuroscience top 1%
- Molecular Biology top 5%
- Social Psychology top 2%
- Endocrine and Autonomic Systems top 1%
- Co-authors
- Robert C. MalenkaStephan LammelKee Wui HuangKarl DeisserothKay M. TyeMu‐ming PooRan ChenPatrick E. Rothwell
- Topics
- Neuroscience and Neuropharmacology Research (21 papers)Neurotransmitter Receptor Influence on Behavior (11 papers)Neural dynamics and brain function (10 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Byung Kook Lim
42 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Cellular and Molecular Neuroscience 3.1k
- Cognitive Neuroscience 1.9k
- Molecular Biology 1.5k
- Social Psychology 684
- Endocrine and Autonomic Systems 585
Countries citing papers authored by Byung Kook Lim
This map shows the geographic impact of Byung Kook Lim'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 Byung Kook Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byung Kook Lim more than expected).
Fields of papers citing papers by Byung Kook Lim
This network shows the impact of papers produced by Byung Kook Lim. 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 Byung Kook Lim. The network helps show where Byung Kook Lim may publish in the future.
Co-authorship network of co-authors of Byung Kook Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Byung Kook Lim. A scholar is included among the top collaborators of Byung Kook Lim 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 Byung Kook Lim. Byung Kook Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 22 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 51 | |
| 7 | 46 | |
| 8 | 64 | |
| 9 | 32 | |
| 10 | 129 | |
| 11 | 33 | |
| 12 | 49 | |
| 13 | 1 | |
| 14 | 85 | |
| 15 | 150 | |
| 16 | 46 | |
| 17 | Reward and aversion in a heterogeneous midbrain dopamine systembreakdown → | 578 |
| 18 | Input-specific control of reward and aversion in the ventral tegmental areabreakdown → | 977 |
| 19 | 171 | |
| 20 | 97 |
About Byung Kook Lim
Byung Kook Lim is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 44 papers that have together received 5.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (21 papers), Neurotransmitter Receptor Influence on Behavior (11 papers) and Neural dynamics and brain function (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.1k citations), Behavioral Neuroscience (551 citations) and Cognitive Neuroscience (1.9k citations). Byung Kook Lim has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Robert C. Malenka, Stephan Lammel, Kee Wui Huang, Karl Deisseroth, Kay M. Tye, Mu‐ming Poo, Ran Chen, Patrick E. Rothwell, Varoth Lilascharoen and Daniel Knowland. Their work appears in journals such as Nature, Science and Cell.
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.