William E. Payne
Impact in
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- Fungal and yeast genetics research
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Genomics and Phylogenetic Studies
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
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- Fungal and yeast genetics research 6
- Photosynthetic Processes and Mechanisms 4
- Genomics and Chromatin Dynamics 2
- Mitochondrial Function and Pathology 2
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- Cellular transport and secretion 3
- Microtubule and mitosis dynamics 2
- Co-authors
- James I. Garrels (3 shared papers)Molly Fitzgerald‐Hayes (3 shared papers)Brian Davis (1 shared paper)Peter E. Hodges (1 shared paper)Chris A. Kaiser (3 shared papers)Jonathan R. Warner (1 shared paper)Gerald Latter (1 shared paper)Ryûji Kobayashi (1 shared paper)
- Journals
- Molecular and Cellular Biology (3 papers)Yeast (2 papers)Nucleic Acids Research (2 papers)Electrophoresis (1 paper)Gene (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
William E. Payne
12 papers receiving 525 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 471
- Spectroscopy 102
- Cell Biology 91
- Aging 6
- Plant Science 70
Countries citing papers authored by William E. Payne
This map shows the geographic impact of William E. Payne'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. Payne 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. Payne more than expected).
Fields of papers citing papers by William E. Payne
This network shows the impact of papers produced by William E. Payne. 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. Payne. The network helps show where William E. Payne may publish in the future.
Co-authors
The 18 scholars most cited alongside William E. Payne, 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 | 1999 | 180 | |
| 2 | 1997 | 112 | |
| 3 | 1993 | 89 | |
| 4 | 1997 | 50 | |
| 5 | 2000 | 28 | |
| 6 | 1995 | 24 | |
| 7 | 1991 | 23 | |
| 8 | 1991 | 12 | |
| 9 | 1987 | 10 | |
| 10 | 1986 | 7 | |
| 11 | 2000 | 3 | |
| 12 | 2008 | 1 |
About William E. Payne
William E. Payne is a scholar working on Molecular Biology, Cell Biology, Plant Science, Clinical Biochemistry and Spectroscopy, having authored 12 papers that have together received 539 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (6 papers), Photosynthetic Processes and Mechanisms (4 papers), Cellular transport and secretion (3 papers), Microtubule and mitosis dynamics (2 papers), Genomics and Chromatin Dynamics (2 papers), Chromosomal and Genetic Variations (2 papers), Mitochondrial Function and Pathology (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Molecular Biology (471 citations), Spectroscopy (102 citations), Cell Biology (91 citations), Aging (6 citations) and Plant Science (70 citations). William E. Payne has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include James I. Garrels, Molly Fitzgerald‐Hayes, Brian Davis, Peter E. Hodges, Chris A. Kaiser, Jonathan R. Warner, Gerald Latter, Ryûji Kobayashi, Damon S. Anderson and Bruce Futcher. Their work appears in journals such as Molecular and Cellular Biology, Yeast, Nucleic Acids Research, Electrophoresis and Gene.
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.