Daniel Stauffer
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
-
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- RNA Research and Splicing
Papers in
-
- DNA Repair Mechanisms 3
- Epigenetics and DNA Methylation 2
- Genomics and Chromatin Dynamics 2
- Ubiquitin and proteasome pathways 1
- Oncology 4
- Cancer-related Molecular Pathways 3
- PARP inhibition in cancer therapy 2
- Co-authors
- Stanley M. Hollenberg (2 shared papers)Catherine Degnin (2 shared papers)Mathew J. Thayer (5 shared papers)Dana L. Madison (1 shared paper)James R. Lundblad (1 shared paper)Troy A. Fiddler (1 shared paper)Andrew Dunn (1 shared paper)Bill H. Chang (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Journal of Cell Science (2 papers)Human Molecular Genetics (1 paper)DNA repair (1 paper)Genetics in Medicine (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel Stauffer
10 papers receiving 540 citations
Peers
Comparison fields: 5 of 63
- Cell Biology 150
- Molecular Biology 348
- Genetics 122
- Clinical Biochemistry 25
- Oncology 86
Countries citing papers authored by Daniel Stauffer
This map shows the geographic impact of Daniel Stauffer'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 Stauffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Stauffer more than expected).
Fields of papers citing papers by Daniel Stauffer
This network shows the impact of papers produced by Daniel Stauffer. 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 Stauffer. The network helps show where Daniel Stauffer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Stauffer, 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 | 2001 | 127 | |
| 2 | 2001 | 99 | |
| 3 | 2015 | 97 | |
| 4 | 2003 | 43 | |
| 5 | 2007 | 39 | |
| 6 | 2005 | 39 | |
| 7 | 2011 | 35 | |
| 8 | 2011 | 33 | |
| 9 | 1998 | 22 | |
| 10 | 2004 | 21 |
About Daniel Stauffer
Daniel Stauffer is a scholar working on Molecular Biology, Oncology, Genetics, Epidemiology and Hematology, having authored 10 papers that have together received 555 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), Cancer-related Molecular Pathways (3 papers), Epigenetics and DNA Methylation (2 papers), Genomics and Chromatin Dynamics (2 papers), PARP inhibition in cancer therapy (2 papers), Ubiquitin and proteasome pathways (1 paper), Genomics and Rare Diseases (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Cell Biology (150 citations), Molecular Biology (348 citations), Genetics (122 citations), Clinical Biochemistry (25 citations) and Oncology (86 citations). Daniel Stauffer has collaborated with scholars based in United States. Frequent co-authors include Stanley M. Hollenberg, Catherine Degnin, Mathew J. Thayer, Dana L. Madison, James R. Lundblad, Troy A. Fiddler, Andrew Dunn, Bill H. Chang, Jing Huang and Leslie Smith. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cell Science, Human Molecular Genetics, DNA repair and Genetics in 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.