William E. Royer
Impact in
- Cell Biology top 1%
- Hemoglobin structure and function
- Virology top 5%
Papers in
- Cell Biology 43
- Hemoglobin structure and function 43
-
- Protein Structure and Dynamics 19
- Kruppel-like factors research 9
- Cancer-related gene regulation 8
- Co-authors
- James E. Knapp (14 shared papers)Wayne A. Hendrickson (9 shared papers)Celia A. Schiffer (12 shared papers)Emilia Chiancone (6 shared papers)Quentin Howieson Gibson (7 shared papers)Weijun Chen (3 shared papers)Daniel J. Harrington (4 shared papers)V. Šrajer (6 shared papers)
- Journals
- Journal of Biological Chemistry (12 papers)Biochemistry (8 papers)Journal of Molecular Biology (8 papers)Proceedings of the National Academy of Sciences (6 papers)Structure (5 papers)
- Partner nations
- United StatesItalySouth Korea
In The Last Decade
William E. Royer
64 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 110
- Cell Biology 1.3k
- Virology 161
- Genetics 263
- Structural Biology 38
- Molecular Biology 1.7k
Countries citing papers authored by William E. Royer
This map shows the geographic impact of William E. Royer'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. Royer 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. Royer more than expected).
Fields of papers citing papers by William E. Royer
This network shows the impact of papers produced by William E. Royer. 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. Royer. The network helps show where William E. Royer may publish in the future.
Co-authors
The 25 scholars most cited alongside William E. Royer, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 161 | |
| 2 | 1996 | 140 | |
| 3 | 1997 | 140 | |
| 4 | 2017 | 119 | |
| 5 | 1994 | 114 | |
| 6 | 2010 | 103 | |
| 7 | 2008 | 101 | |
| 8 | 2005 | 90 | |
| 9 | 2006 | 88 | |
| 10 | 2006 | 88 | |
| 11 | 2001 | 87 | |
| 12 | 1985 | 87 | |
| 13 | 2000 | 84 | |
| 14 | 2009 | 82 | |
| 15 | 1990 | 77 | |
| 16 | 1989 | 67 | |
| 17 | 2008 | 63 | |
| 18 | 2005 | 60 | |
| 19 | 2004 | 57 | |
| 20 | 2009 | 55 |
About William E. Royer
William E. Royer is a scholar working on Cell Biology, Molecular Biology, Physiology, Genetics and Spectroscopy, having authored 65 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hemoglobin structure and function (43 papers), Protein Structure and Dynamics (19 papers), Erythrocyte Function and Pathophysiology (17 papers), Kruppel-like factors research (9 papers), Hemoglobinopathies and Related Disorders (9 papers), Cancer-related gene regulation (8 papers), Neonatal Health and Biochemistry (8 papers) and Mass Spectrometry Techniques and Applications (7 papers). The work is most often cited by research in Cell Biology (1.3k citations), Virology (161 citations), Genetics (263 citations), Structural Biology (38 citations) and Molecular Biology (1.7k citations). William E. Royer has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include James E. Knapp, Wayne A. Hendrickson, Celia A. Schiffer, Emilia Chiancone, Quentin Howieson Gibson, Weijun Chen, Daniel J. Harrington, V. Šrajer, Animesh Dev Pardanani and H. Heaslet. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Journal of Molecular Biology, Proceedings of the National Academy of Sciences and Structure.
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.