S. Wallis

32 papers receiving 2.0k citations

Hit Papers

Complete protein sequence and identification of structural domains of human apolipoprotein B 1986 · 533 citations
5331986202619992012100200300400500

Peers

S. Wallis
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 797
  • Cancer Research 364
  • Aging 37
  • Surgery 791
  • Genetics 401
Replace K S Arnold with:
K S Arnold United States
Elisabeth Fayard France
Vincenzo Pierotti United States
John A. A. Ladias United States
Dominica Calvo United States
E. Y. Skolnik United States
Frederick M. Stanley United States
Thomas Åskov Pedersen Denmark
Jaap Twisk Netherlands
Heike Döppler United States
S. Wallis relative to K S Arnold United States K S Arnold's profile →
Citations per field
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Citations per year

Countries citing papers authored by S. Wallis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with S. Wallis Line = papers co-authored together S. Wallis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
1986533
2 1986196
3 1986190
4 1988165
5 198893
6 198691
7 198672
8 198970
9 198358
10 198557
11 201554
12 198448
13 198445
14 198544
15 198341
16 201439
17 198533
18 199229
19 198525
20 198524

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.

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