William J. Rutter
- Molecular Biology top 0.02%
- RNA and protein synthesis mechanisms 35
- Metabolism, Diabetes, and Cancer 26
- RNA modifications and cancer 24
- Glycosylation and Glycoproteins Research 21
- Endocrinology, Diabetes and Metabolism top 0.05%
- Genetics top 0.02%
- Cell Biology top 0.05%
- Immunology top 0.2%
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- Pancreatic function and diabetes 78
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- Hepatitis B Virus Studies 21
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- Enzyme Production and Characterization 20
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- Peptidase Inhibition and Analysis 19
- Co-authors
- Raymond J. MacDonaldJohn M. ChirgwinAlan PrzybylaRobert G. RoederRaymond PictetGraeme I. BellRichard A. RothPablo Valenzuela
- Journals
- Journal of Biological Chemistry (58 papers)Biochemistry (39 papers)Proceedings of the National Academy of Sciences (38 papers)
- Partner nations
- United StatesHungaryIsrael
In The Last Decade
William J. Rutter
310 papers receiving 52.9k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Molecular Biology 35.4k
- Endocrinology, Diabetes and Metabolism 6.1k
- Genetics 9.8k
- Cell Biology 5.4k
- Immunology 5.9k
Countries citing papers authored by William J. Rutter
This map shows the geographic impact of William J. Rutter'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 J. Rutter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Rutter more than expected).
Fields of papers citing papers by William J. Rutter
This network shows the impact of papers produced by William J. Rutter. 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 J. Rutter. The network helps show where William J. Rutter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William J. Rutter, 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 | 2025 | 0 | |
| 2 | 1996 | 10 | |
| 3 | 1995 | 307 | |
| 4 | 1994 | 3 | |
| 5 | 1993 | 149 | |
| 6 | 1993 | 11 | |
| 7 | 1993 | 77 | |
| 8 | 1992 | 28 | |
| 9 | 1991 | 14 | |
| 10 | 1991 | 7 | |
| 11 | 1989 | 23 | |
| 12 | 1989 | 141 | |
| 13 | 1989 | 6 | |
| 14 | 1988 | 6 | |
| 15 | 1988 | 29 | |
| 16 | 1988 | 16 | |
| 17 | 1988 | 7 | |
| 18 | 1988 | 18 | |
| 19 | 1983 | 12 | |
| 20 | 1976 | 3 |
About William J. Rutter
William J. Rutter is a scholar working on Biotechnology, Molecular Biology, Cell Biology, Genetics and Surgery, having authored 311 papers that have together received 56.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (78 papers), RNA and protein synthesis mechanisms (35 papers), Metabolism, Diabetes, and Cancer (26 papers), RNA modifications and cancer (24 papers), Glycosylation and Glycoproteins Research (21 papers), Hepatitis B Virus Studies (21 papers), Enzyme Production and Characterization (20 papers) and Peptidase Inhibition and Analysis (19 papers). The work is most often cited by research in Molecular Biology (35.4k citations), Endocrinology, Diabetes and Metabolism (6.1k citations), Genetics (9.8k citations), Cell Biology (5.4k citations) and Immunology (5.9k citations). William J. Rutter has collaborated with scholars based in United States, Hungary and Israel. Frequent co-authors include Raymond J. MacDonald, John M. Chirgwin, Alan Przybyla, Robert G. Roeder, Raymond Pictet, Graeme I. Bell, Richard A. Roth, Pablo Valenzuela, Michael Walker and Mark Selby. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Proceedings of the National Academy of Sciences, Nature and Molecular and Cellular Biology.
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.