William E. Stumph
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- Developmental Biology and Gene Regulation
- Plant Science top 10%
- Chromosomal and Genetic Variations
Papers in
-
- Genomics and Chromatin Dynamics 27
- RNA Research and Splicing 5
- Protein Kinase Regulation and GTPase Signaling 1
-
- Chromosomal and Genetic Variations 3
- Co-authors
- Bert W. O’Malley (6 shared papers)Ming‐Jer Tsai (5 shared papers)Paula Kristo (2 shared papers)Kenneth A. Roebuck (4 shared papers)Dennis R. Roop (2 shared papers)Yan Wang (3 shared papers)Faramarz Valafar (1 shared paper)Leroy Hood (1 shared paper)
- Journals
- Nucleic Acids Research (9 papers)Molecular and Cellular Biology (9 papers)Journal of Biological Chemistry (7 papers)FEBS Letters (5 papers)Biochemistry (5 papers)
- Partner nations
- United StatesBulgariaMexico
In The Last Decade
William E. Stumph
44 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 36
- Molecular Biology 649
- Plant Science 112
- Rheumatology 33
- Cell Biology 12
- Genetics 22
Countries citing papers authored by William E. Stumph
This map shows the geographic impact of William E. Stumph'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 William E. Stumph with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William E. Stumph more than expected).
Fields of papers citing papers by William E. Stumph
This network shows the impact of papers produced by William E. Stumph. 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 William E. Stumph. The network helps show where William E. Stumph may publish in the future.
Co-authors
The 25 scholars most cited alongside William E. Stumph, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1981 | 117 | |
| 2 | 1981 | 93 | |
| 3 | 1979 | 73 | |
| 4 | 2006 | 60 | |
| 5 | 1974 | 59 | |
| 6 | 1983 | 58 | |
| 7 | 1984 | 48 | |
| 8 | 1984 | 40 | |
| 9 | 1990 | 38 | |
| 10 | 1998 | 38 | |
| 11 | 1995 | 37 | |
| 12 | 2004 | 37 | |
| 13 | 1986 | 33 | |
| 14 | 1987 | 32 | |
| 15 | 1998 | 28 | |
| 16 | 2010 | 28 | |
| 17 | 1993 | 27 | |
| 18 | 1980 | 23 | |
| 19 | 1986 | 23 | |
| 20 | 1997 | 23 |
About William E. Stumph
William E. Stumph is a scholar working on Molecular Biology, Plant Science, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (27 papers), RNA Research and Splicing (5 papers), Chromosomal and Genetic Variations (3 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Molecular Biology (649 citations), Plant Science (112 citations), Rheumatology (33 citations), Cell Biology (12 citations) and Genetics (22 citations). William E. Stumph has collaborated with scholars based in United States, Bulgaria and Mexico. Frequent co-authors include Bert W. O’Malley, Ming‐Jer Tsai, Paula Kristo, Kenneth A. Roebuck, Dennis R. Roop, Yan Wang, Faramarz Valafar, Leroy Hood, Sarah C. R. Elgin and Genaro Hernandez. Their work appears in journals such as Nucleic Acids Research, Molecular and Cellular Biology, Journal of Biological Chemistry, FEBS Letters and Biochemistry.
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.