Peggy Scherle
- Molecular Biology top 1%
- Oncology top 0.5%
- Immunology top 0.5%
- Cancer Research top 2%
- Biological Psychiatry top 0.5%
- Co-authors
- James M. TrzăskosMargaret FavataRonald L. MagoldaRobert NewtonElizabeth J. ManosKurumi Y. HoriuchiRobert A. CopelandWalter Gerhard
- Topics
- Cancer-related gene regulation (25 papers)Immune Cell Function and Interaction (21 papers)Cytokine Signaling Pathways and Interactions (20 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- United StatesJapanGermany
In The Last Decade
Peggy Scherle
148 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 4.6k
- Oncology 2.9k
- Immunology 2.9k
- Cancer Research 958
- Biological Psychiatry 771
Countries citing papers authored by Peggy Scherle
This map shows the geographic impact of Peggy Scherle'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 Peggy Scherle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peggy Scherle more than expected).
Fields of papers citing papers by Peggy Scherle
This network shows the impact of papers produced by Peggy Scherle. 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 Peggy Scherle. The network helps show where Peggy Scherle may publish in the future.
Co-authorship network of co-authors of Peggy Scherle
This figure shows the co-authorship network connecting the top 25 collaborators of Peggy Scherle. A scholar is included among the top collaborators of Peggy Scherle 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 Peggy Scherle. Peggy Scherle 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 1 | |
| 7 | 62 | |
| 8 | 164 | |
| 9 | 27 | |
| 10 | 329 | |
| 11 | 190 | |
| 12 | 123 | |
| 13 | 88 | |
| 14 | 3 | |
| 15 | 62 | |
| 16 | 45 | |
| 17 | Identification of a Novel Inhibitor of Mitogen-activated Protein Kinase Kinasebreakdown → | 2750 |
| 18 | 46 | |
| 19 | 48 | |
| 20 | 113 |
About Peggy Scherle
Peggy Scherle is a scholar working on Biological Psychiatry, Oncology and Genetics, having authored 154 papers that have together received 10.0k indexed citations. Recurring topics across this work include Cancer-related gene regulation (25 papers), Immune Cell Function and Interaction (21 papers) and Cytokine Signaling Pathways and Interactions (20 papers). The work is most often cited by research in Biological Psychiatry (771 citations), Immunology (2.9k citations) and Oncology (2.9k citations). Peggy Scherle has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include James M. Trzăskos, Margaret Favata, Ronald L. Magolda, Robert Newton, Elizabeth J. Manos, Kurumi Y. Horiuchi, Robert A. Copeland, Walter Gerhard, Frank W. Hobbs and William J. Pitts. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.