Robert H. Wallis

871 citations
25 papers · 620 · h-index 14

Impact in

  • Genetics top 10%
    • Genetic Mapping and Diversity in Plants and Animals
    • Diabetes and associated disorders
    • Genetic Associations and Epidemiology

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 10
    • Diabetes and associated disorders 5
    • Mitochondrial Function and Pathology 3
    • Metabolism, Diabetes, and Cancer 2

Robert H. Wallis

24 papers receiving 596 citations

Peers

Robert H. Wallis
Comparison fields: 5 of 83
  • Genetics 240
  • Internal Medicine 23
  • Endocrinology, Diabetes and Metabolism 100
  • Physiology 111
  • Molecular Biology 245
Replace Oana A. Zeleznik with:
Oana A. Zeleznik United States
Ruifang Li‐Gao Netherlands
Keri A. Kles United States
Makiko Yoshida Japan
Jae Wook Lee South Korea
Xukai Wang China
Young-Seol Kim South Korea
Juyeon Ko New Zealand
Yanzhou Zhang China
Chuanzhong Ye China
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Citations per field
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Citations per year

Countries citing papers authored by Robert H. Wallis

Since Specialization
Citations

This map shows the geographic impact of Robert H. 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 Robert H. Wallis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert H. Wallis more than expected).

Fields of papers citing papers by Robert H. Wallis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert H. 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 Robert H. Wallis. The network helps show where Robert H. Wallis may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert H. 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 Robert H. Wallis Line = papers co-authored together Robert H. Wallis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007124
2 200973
3 199664
4 198052
5 199650
6 200132
7 200426
8 200823
9 199922
10 199821
11 200320
12 200416
13 200615
14 200014
15 200613
16 199610
17 20079
18 19779
19 20167
20 20146

About Robert H. Wallis

Robert H. Wallis is a scholar working on Genetics, Molecular Biology, Surgery, Computer Vision and Pattern Recognition and Physiology, having authored 25 papers that have together received 620 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (10 papers), Diabetes and associated disorders (5 papers), Pancreatic function and diabetes (5 papers), Adipose Tissue and Metabolism (3 papers), Mitochondrial Function and Pathology (3 papers), Algorithms and Data Compression (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Genetics (240 citations), Internal Medicine (23 citations), Endocrinology, Diabetes and Metabolism (100 citations), Physiology (111 citations) and Molecular Biology (245 citations). Robert H. Wallis has collaborated with scholars based in United Kingdom, France and Canada. Frequent co-authors include Dominique Gauguier, Marie‐Thérèse Bihoreau, Pamela J. Kaisaki, Karène Argoud, Stephan C. Collins, Steven P. Wilder, Karin J. Wallace, Andrew D. Paterson, Philippe Poussier and William K. Pratt. Their work appears in journals such as Mammalian Genome, The Journal of Immunology, Diabetologia, Genomics and Genes and Immunity.

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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