Peter Kolb
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
-
- Neuropeptides and Animal Physiology
Papers in
-
- Receptor Mechanisms and Signaling 41
- Chemical Synthesis and Analysis 8
- Protein Structure and Dynamics 4
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- Neuropeptides and Animal Physiology 25
- Neurotransmitter Receptor Influence on Behavior 5
- Co-authors
- John J. Irwin (3 shared papers)Amedeo Caflisch (9 shared papers)Brian K. Shoichet (7 shared papers)Daniel M. Rosenbaum (4 shared papers)Florent Chevillard (8 shared papers)Juan Carlos Mobarec (4 shared papers)Danzhi Huang (5 shared papers)Jie Yin (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (7 papers)Nature Communications (6 papers)European Journal of Medicinal Chemistry (4 papers)Biochemistry (4 papers)Molecular Pharmacology (4 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Peter Kolb
95 papers receiving 2.9k citations
Peter Kolb's Hit Papers
Peers
Comparison fields: 5 of 151
- Computational Theory and Mathematics 863
- Cellular and Molecular Neuroscience 643
- Molecular Biology 1.8k
- Archeology 23
- Endocrine and Autonomic Systems 86
Countries citing papers authored by Peter Kolb
This map shows the geographic impact of Peter Kolb'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 Peter Kolb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kolb more than expected).
Fields of papers citing papers by Peter Kolb
This network shows the impact of papers produced by Peter Kolb. 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 Peter Kolb. The network helps show where Peter Kolb may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Kolb, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structure-based discovery of β 2 -adrenergic receptor ligands Hit paper breakdown → | 2009 | 252 |
| 2 | 2014 | 180 | |
| 3 | 2016 | 164 | |
| 4 | 2009 | 153 | |
| 5 | 2022 | 135 | |
| 6 | 1983 | 102 | |
| 7 | 2009 | 101 | |
| 8 | 2009 | 79 | |
| 9 | 2006 | 76 | |
| 10 | The present state of the Cape of Good Hope | 1968 | 75 |
| 11 | 2022 | 74 | |
| 12 | 2006 | 73 | |
| 13 | 2005 | 73 | |
| 14 | 2015 | 70 | |
| 15 | 2013 | 63 | |
| 16 | 2008 | 57 | |
| 17 | 2019 | 55 | |
| 18 | 1997 | 55 | |
| 19 | 2003 | 51 | |
| 20 | 2008 | 51 |
About Peter Kolb
Peter Kolb is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Organic Chemistry and Oncology, having authored 105 papers that have together received 3.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (41 papers), Neuropeptides and Animal Physiology (25 papers), Computational Drug Discovery Methods (23 papers), Chemical Synthesis and Analysis (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Microbial Natural Products and Biosynthesis (5 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Computational Theory and Mathematics (863 citations), Cellular and Molecular Neuroscience (643 citations), Molecular Biology (1.8k citations), Archeology (23 citations) and Endocrine and Autonomic Systems (86 citations). Peter Kolb has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include John J. Irwin, Amedeo Caflisch, Brian K. Shoichet, Daniel M. Rosenbaum, Florent Chevillard, Juan Carlos Mobarec, Danzhi Huang, Jie Yin, Brian K. Kobilka and Juan José Fung. Their work appears in journals such as Journal of Medicinal Chemistry, Nature Communications, European Journal of Medicinal Chemistry, Biochemistry and Molecular Pharmacology.
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.