William K. Lim
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
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- Receptor Mechanisms and Signaling
- Protein Kinase Regulation and GTPase Signaling
Papers in
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- Receptor Mechanisms and Signaling 10
- Protein Kinase Regulation and GTPase Signaling 3
- Gene Regulatory Network Analysis 1
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- Neuropeptides and Animal Physiology 6
- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Richard R. Neubig (10 shared papers)James C. Garrison (3 shared papers)Chang‐Seon Myung (2 shared papers)Masakatsu Nanamori (2 shared papers)Duane A. Chung (2 shared papers)Susan M. Wade (2 shared papers)Laura Stanasila (1 shared paper)Franc Pattus (1 shared paper)
- Journals
- Molecular Pharmacology (4 papers)Biochemical Journal (2 papers)Biochemistry (2 papers)Journal of Neurochemistry (1 paper)BMC Medical Education (1 paper)
- Partner nations
- United StatesMalaysiaSwitzerland
In The Last Decade
William K. Lim
16 papers receiving 389 citations
Peers
Comparison fields: 5 of 75
- Cellular and Molecular Neuroscience 129
- Molecular Biology 261
- Physiology 11
- Cell Biology 36
- Family Practice 3
Countries citing papers authored by William K. Lim
This map shows the geographic impact of William K. 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 William K. Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William K. Lim more than expected).
Fields of papers citing papers by William K. Lim
This network shows the impact of papers produced by William K. 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 William K. Lim. The network helps show where William K. Lim may publish in the future.
Co-authors
The 19 scholars most cited alongside William K. Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 54 | |
| 2 | 2012 | 49 | |
| 3 | 2001 | 42 | |
| 4 | 2021 | 34 | |
| 5 | 2003 | 29 | |
| 6 | 2000 | 26 | |
| 7 | 2005 | 26 | |
| 8 | 2002 | 24 | |
| 9 | 2001 | 19 | |
| 10 | 2022 | 18 | |
| 11 | 2001 | 18 | |
| 12 | 2007 | 16 | |
| 13 | 2023 | 14 | |
| 14 | 2022 | 12 | |
| 15 | 2012 | 8 | |
| 16 | 1999 | 8 |
About William K. Lim
William K. Lim is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Education and Biomedical Engineering, having authored 16 papers that have together received 397 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cellular transport and secretion (2 papers), Problem and Project Based Learning (2 papers), Neurological Disease Mechanisms and Treatments (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (129 citations), Molecular Biology (261 citations), Physiology (11 citations), Cell Biology (36 citations) and Family Practice (3 citations). William K. Lim has collaborated with scholars based in United States, Malaysia and Switzerland. Frequent co-authors include Richard R. Neubig, James C. Garrison, Chang‐Seon Myung, Masakatsu Nanamori, Duane A. Chung, Susan M. Wade, Laura Stanasila, Franc Pattus, Hiroshi Yasuda and Kimon C. Kanelakis. Their work appears in journals such as Molecular Pharmacology, Biochemical Journal, Biochemistry, Journal of Neurochemistry and BMC Medical Education.
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.