S. Wallis
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
Papers in ⓘ
- 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)Robert W. Mahley (3 shared papers)
- Journals
- Nucleic Acids Research (8 papers)Human Genetics (4 papers)Journal of Biological Chemistry (3 papers)The Lancet (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
S. Wallis
32 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Endocrinology, Diabetes and Metabolism 797
- Cancer Research 364
- Aging 37
- Surgery 791
- Genetics 401
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 | 196 | |
| 3 | 1986 | 190 | |
| 4 | 1988 | 165 | |
| 5 | 1988 | 93 | |
| 6 | 1986 | 91 | |
| 7 | 1986 | 72 | |
| 8 | 1989 | 70 | |
| 9 | 1983 | 58 | |
| 10 | 1985 | 57 | |
| 11 | 2015 | 54 | |
| 12 | 1984 | 48 | |
| 13 | 1984 | 45 | |
| 14 | 1985 | 44 | |
| 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 Aging, Genetics, Cellular and Molecular Neuroscience, Molecular Biology 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), Nuclear Structure and Function (3 papers), Nuclear Receptors and Signaling (3 papers), Protease and Inhibitor Mechanisms (3 papers), RNA modifications and cancer (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (797 citations), Cancer Research (364 citations), Aging (37 citations), Surgery (791 citations) and Genetics (401 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, Robert W. Mahley, Beatriz Levy-Wilson and Brian J. McCarthy. Their work appears in journals such as Nucleic Acids Research, Human Genetics, Journal of Biological Chemistry, The Lancet and Biochemical and Biophysical Research Communications.
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.