Jeffrey W. Peng
- Molecular Biology top 5%
- Spectroscopy top 1%
- Materials Chemistry top 10%
- Computational Theory and Mathematics top 1%
- Nuclear and High Energy Physics top 5%
- Co-authors
- Gerhard WagnerJonathan M. MooreChristopher A. LepreJohn O. DabiriT. Kwaku DayieJ.-F. LefèvreGabriel E. WagnerJasna Fejzo
- Topics
- Protein Structure and Dynamics (16 papers)Signaling Pathways in Disease (16 papers)Toxin Mechanisms and Immunotoxins (13 papers)
- Journals
- Chemical ReviewsProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Jeffrey W. Peng
54 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 125
- Molecular Biology 2.1k
- Spectroscopy 762
- Materials Chemistry 524
- Computational Theory and Mathematics 359
- Nuclear and High Energy Physics 310
Countries citing papers authored by Jeffrey W. Peng
This map shows the geographic impact of Jeffrey W. Peng'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 Jeffrey W. Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey W. Peng more than expected).
Fields of papers citing papers by Jeffrey W. Peng
This network shows the impact of papers produced by Jeffrey W. Peng. 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 Jeffrey W. Peng. The network helps show where Jeffrey W. Peng may publish in the future.
Co-authorship network of co-authors of Jeffrey W. Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey W. Peng. A scholar is included among the top collaborators of Jeffrey W. Peng 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 Jeffrey W. Peng. Jeffrey W. Peng 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 | 37 | |
| 3 | 18 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 13 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 38 | |
| 10 | 75 | |
| 11 | 23 | |
| 12 | 51 | |
| 13 | 63 | |
| 14 | 55 | |
| 15 | 37 | |
| 16 | 30 | |
| 17 | 297 | |
| 18 | 176 | |
| 19 | 9 | |
| 20 | 8 |
About Jeffrey W. Peng
Jeffrey W. Peng is a scholar working on Molecular Medicine, Biophysics and Spectroscopy, having authored 57 papers that have together received 2.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), Signaling Pathways in Disease (16 papers) and Toxin Mechanisms and Immunotoxins (13 papers). The work is most often cited by research in Spectroscopy (762 citations), Molecular Biology (2.1k citations) and Biophysics (166 citations). Jeffrey W. Peng has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Gerhard Wagner, Jonathan M. Moore, Christopher A. Lepre, John O. Dabiri, T. Kwaku Dayie, J.-F. Lefèvre, Gabriel E. Wagner, Jasna Fejzo, Andrew T. Namanja and Norzehan Abdul-Manan. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.