Eva Papp
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
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- Computational Drug Discovery Methods
Papers in
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- Protein Kinase Regulation and GTPase Signaling 9
- Protein Tyrosine Phosphatases 3
- Biochemical and Molecular Research 3
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- Synthesis and biological activity 4
- Synthesis and Characterization of Heterocyclic Compounds 2
- Co-authors
- Jin'en Wu (1 shared paper)Yutaka Natsumeda (1 shared paper)David Elliot Shaw (4 shared papers)Hoangdung Ho (3 shared papers)J. Michael Bradshaw (3 shared papers)Joyce Ka Yu Tse (2 shared papers)Anthony M. Giannetti (1 shared paper)Emily K. Tsang (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (5 papers)Journal of Biological Chemistry (2 papers)Bioorganic & Medicinal Chemistry Letters (1 paper)Biochemistry (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Eva Papp
12 papers receiving 828 citations
Peers
Comparison fields: 5 of 62
- Transplantation 56
- Computational Theory and Mathematics 110
- Organic Chemistry 191
- Molecular Biology 345
- Rheumatology 53
Countries citing papers authored by Eva Papp
This map shows the geographic impact of Eva Papp'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 Eva Papp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Papp more than expected).
Fields of papers citing papers by Eva Papp
This network shows the impact of papers produced by Eva Papp. 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 Eva Papp. The network helps show where Eva Papp may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Papp, 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 | 1993 | 331 | |
| 2 | 2008 | 125 | |
| 3 | 2003 | 86 | |
| 4 | 2011 | 68 | |
| 5 | 2008 | 67 | |
| 6 | 2006 | 57 | |
| 7 | 2009 | 56 | |
| 8 | 1996 | 47 | |
| 9 | 2011 | 25 | |
| 10 | 2007 | 21 | |
| 11 | 1997 | 16 | |
| 12 | 2009 | 5 |
About Eva Papp
Eva Papp is a scholar working on Molecular Biology, Organic Chemistry, Biophysics, Complementary and alternative medicine and Rheumatology, having authored 12 papers that have together received 904 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (9 papers), Synthesis and biological activity (4 papers), Protein Tyrosine Phosphatases (3 papers), Biochemical and Molecular Research (3 papers), Synthesis and Characterization of Heterocyclic Compounds (2 papers), Advanced Fluorescence Microscopy Techniques (1 paper), Rheumatoid Arthritis Research and Therapies (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Transplantation (56 citations), Computational Theory and Mathematics (110 citations), Organic Chemistry (191 citations), Molecular Biology (345 citations) and Rheumatology (53 citations). Eva Papp has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Jin'en Wu, Yutaka Natsumeda, David Elliot Shaw, Hoangdung Ho, J. Michael Bradshaw, Joyce Ka Yu Tse, Anthony M. Giannetti, Emily K. Tsang, Jim W. Barnett and Michelle F. Browner. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters, Biochemistry and Journal of Pharmacology and Experimental Therapeutics.
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.