Daniel Gelperin
Impact in
- Molecular Biology top 10%
- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- 14-3-3 protein interactions
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- Cell Biology top 10%
Papers in
-
- Fungal and yeast genetics research 4
- RNA and protein synthesis mechanisms 2
- 14-3-3 protein interactions 2
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Sandra K. Lemmon (3 shared papers)Mark Gerstein (2 shared papers)M Snyder (2 shared papers)Jack O. Hensold (2 shared papers)Lynn E. Horton (2 shared papers)Haiyuan Yu (1 shared paper)Mark E. Dumont (1 shared paper)Eric M. Phizicky (1 shared paper)
- Journals
- Genes & Development (2 papers)Genetics (1 paper)Journal of Immunological Methods (1 paper)Protein Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Daniel Gelperin
8 papers receiving 851 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 720
- Cell Biology 120
- Aging 9
- Nephrology 35
- Immunology 100
Countries citing papers authored by Daniel Gelperin
This map shows the geographic impact of Daniel Gelperin'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 Daniel Gelperin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gelperin more than expected).
Fields of papers citing papers by Daniel Gelperin
This network shows the impact of papers produced by Daniel Gelperin. 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 Daniel Gelperin. The network helps show where Daniel Gelperin may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Gelperin, 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 | 2005 | 381 | |
| 2 | 1995 | 145 | |
| 3 | 2001 | 108 | |
| 4 | 1992 | 94 | |
| 5 | 2009 | 85 | |
| 6 | 2002 | 35 | |
| 7 | 2010 | 12 | |
| 8 | 2025 | 1 |
About Daniel Gelperin
Daniel Gelperin is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Nephrology and Virology, having authored 8 papers that have together received 861 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), RNA and protein synthesis mechanisms (2 papers), Complement system in diseases (2 papers), 14-3-3 protein interactions (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), HIV Research and Treatment (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Molecular Biology (720 citations), Cell Biology (120 citations), Aging (9 citations), Nephrology (35 citations) and Immunology (100 citations). Daniel Gelperin has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Sandra K. Lemmon, Mark Gerstein, M Snyder, Jack O. Hensold, Lynn E. Horton, Haiyuan Yu, Mark E. Dumont, Eric M. Phizicky, Yoshiko Kon and Lixia Jiang. Their work appears in journals such as Genes & Development, Genetics, Journal of Immunological Methods, Protein Science and Proceedings of the National Academy of Sciences.
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.