Wayne D. Kohn
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- Biochemical and Structural Characterization
- Protein purification and stability
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
Papers in
-
- Protein Structure and Dynamics 9
- Chemical Synthesis and Analysis 6
-
- Diabetes Treatment and Management 1
- Growth Hormone and Insulin-like Growth Factors 1
- Co-authors
- Robert S. Hodges (8 shared papers)Cyril M. Kay (7 shared papers)Colin T. Mant (1 shared paper)Brian D. Sykes (1 shared paper)Oscar D. Monera (1 shared paper)Lianshan Zhang (3 shared papers)Sheng-Bin Peng (2 shared papers)Qinyuan Lou (2 shared papers)
- Journals
- Tetrahedron Letters (3 papers)Journal of Molecular Biology (2 papers)Journal of Peptide Science (2 papers)Journal of Biological Chemistry (2 papers)Journal of Neurochemistry (1 paper)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Wayne D. Kohn
20 papers receiving 935 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 623
- Biomaterials 107
- Oncology 80
- Filtration and Separation 5
- Cell Biology 36
Countries citing papers authored by Wayne D. Kohn
This map shows the geographic impact of Wayne D. Kohn'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 Wayne D. Kohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne D. Kohn more than expected).
Fields of papers citing papers by Wayne D. Kohn
This network shows the impact of papers produced by Wayne D. Kohn. 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 Wayne D. Kohn. The network helps show where Wayne D. Kohn may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne D. Kohn, 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 | 1997 | 165 | |
| 2 | 1995 | 109 | |
| 3 | 1997 | 105 | |
| 4 | 1998 | 98 | |
| 5 | 1998 | 97 | |
| 6 | 2005 | 91 | |
| 7 | 1998 | 79 | |
| 8 | 1995 | 75 | |
| 9 | 2007 | 43 | |
| 10 | 1997 | 17 | |
| 11 | 1998 | 17 | |
| 12 | 2004 | 17 | |
| 13 | 2001 | 15 | |
| 14 | 2017 | 15 | |
| 15 | 2001 | 11 | |
| 16 | 2003 | 10 | |
| 17 | 2008 | 10 | |
| 18 | 2004 | 6 | |
| 19 | 2012 | 3 | |
| 20 | 2010 | 2 |
About Wayne D. Kohn
Wayne D. Kohn is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology, Nephrology and Physiology, having authored 20 papers that have together received 985 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Chemical Synthesis and Analysis (6 papers), Chemokine receptors and signaling (2 papers), Alzheimer's disease research and treatments (1 paper), Parathyroid Disorders and Treatments (1 paper), Diabetes Treatment and Management (1 paper), Pancreatic function and diabetes (1 paper) and Growth Hormone and Insulin-like Growth Factors (1 paper). The work is most often cited by research in Molecular Biology (623 citations), Biomaterials (107 citations), Oncology (80 citations), Filtration and Separation (5 citations) and Cell Biology (36 citations). Wayne D. Kohn has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Robert S. Hodges, Cyril M. Kay, Colin T. Mant, Brian D. Sykes, Oscar D. Monera, Lianshan Zhang, Sheng-Bin Peng, Qinyuan Lou, Yan Zhai and Shaoqing Tang. Their work appears in journals such as Tetrahedron Letters, Journal of Molecular Biology, Journal of Peptide Science, Journal of Biological Chemistry and Journal of Neurochemistry.
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.