S. Wallis
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
Papers in
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- RNA and protein synthesis mechanisms 7
- Peroxisome Proliferator-Activated Receptors 3
- RNA modifications and cancer 3
- Nuclear Structure and Function 3
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- Nuclear Receptors and Signaling 3
- Co-authors
- Lynn M. Powell (14 shared papers)Timothy J. Knott (14 shared papers)Richard J. Pease (11 shared papers)Jenny Scott (9 shared papers)James Scott (6 shared papers)B D Blackhart (3 shared papers)L. Priestley (8 shared papers)Brian J. McCarthy (3 shared papers)
- Journals
- Nucleic Acids Research (8 papers)Human Genetics (4 papers)Journal of Biological Chemistry (3 papers)Biochemical and Biophysical Research Communications (2 papers)The Lancet (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
S. Wallis
32 papers receiving 2.0k citations
S. Wallis's Hit Papers
Peers
Comparison fields: 5 of 84
- Endocrinology, Diabetes and Metabolism 763
- Cancer Research 348
- Aging 37
- Surgery 746
- Genetics 375
Countries citing papers authored by S. Wallis
This map shows the geographic impact of S. Wallis'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 S. Wallis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Wallis more than expected).
Fields of papers citing papers by S. Wallis
This network shows the impact of papers produced by S. Wallis. 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 S. Wallis. The network helps show where S. Wallis may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Wallis, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Complete protein sequence and identification of structural domains of human apolipoprotein B Hit paper breakdown → | 1986 | 533 |
| 2 | 1986 | 195 | |
| 3 | 1986 | 189 | |
| 4 | 1988 | 166 | |
| 5 | 1988 | 93 | |
| 6 | 1986 | 91 | |
| 7 | 1986 | 72 | |
| 8 | 1989 | 69 | |
| 9 | 1983 | 58 | |
| 10 | 1985 | 56 | |
| 11 | 2015 | 54 | |
| 12 | 1984 | 47 | |
| 13 | 1984 | 45 | |
| 14 | 1985 | 43 | |
| 15 | 1983 | 41 | |
| 16 | 2014 | 39 | |
| 17 | 1985 | 33 | |
| 18 | 1992 | 29 | |
| 19 | 1985 | 25 | |
| 20 | 1985 | 24 |
About S. Wallis
S. Wallis is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Surgery and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Chronic Lymphocytic Leukemia Research (5 papers), Lipoproteins and Cardiovascular Health (4 papers), Protease and Inhibitor Mechanisms (3 papers), Nuclear Receptors and Signaling (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), RNA modifications and cancer (3 papers) and Nuclear Structure and Function (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (763 citations), Cancer Research (348 citations), Aging (37 citations), Surgery (746 citations) and Genetics (375 citations). S. Wallis has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Lynn M. Powell, Timothy J. Knott, Richard J. Pease, Jenny Scott, James Scott, B D Blackhart, L. Priestley, Brian J. McCarthy, Beatriz Levy-Wilson and Nicholas O. Davidson. Their work appears in journals such as Nucleic Acids Research, Human Genetics, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and The Lancet.
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.