Ryan D. Sheldon

3.5k citations
63 papers · 1.3k · h-index 21

Impact in

    • Cancer, Hypoxia, and Metabolism
  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies

Papers in

Ryan D. Sheldon

58 papers receiving 1.3k citations

Peers

Ryan D. Sheldon
Comparison fields: 5 of 100
  • Cancer Research 194
  • Physiology 272
  • Biochemistry 65
  • Epidemiology 270
  • Molecular Biology 510
Replace Yi Pan with:
Yi Pan Canada
Jun Hao China
Bianca Marmontel de Souza Brazil
Danielle A. Guimarães Brazil
Wai Han Yiu Hong Kong
Claire C. Bastie United Kingdom
Hiroyuki Unoki‐Kubota Japan
Timothy A. Hoffman United States
Sachiko Hattori Japan
Stefan Lehr Germany
Ryan D. Sheldon relative to Yi Pan Canada Yi Pan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ryan D. Sheldon

Since Specialization
Citations

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

Fields of papers citing papers by Ryan D. Sheldon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan D. Sheldon. 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 Ryan D. Sheldon. The network helps show where Ryan D. Sheldon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993102
2 202289
3 200979
4 202177
5 201776
6 201962
7 201756
8 202153
9 201552
10 201647
11 201939
12 201239
13 201839
14 201532
15 201330
16 202426
17 202026
18 201424
19 201623
20 202123

About Ryan D. Sheldon

Ryan D. Sheldon is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Immunology and Surgery, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Cancer, Hypoxia, and Metabolism (8 papers), Adipose Tissue and Metabolism (6 papers), Immune Cell Function and Interaction (6 papers), Immune cells in cancer (5 papers), Epigenetics and DNA Methylation (5 papers), Metabolism, Diabetes, and Cancer (4 papers) and Diet, Metabolism, and Disease (4 papers). The work is most often cited by research in Cancer Research (194 citations), Physiology (272 citations), Biochemistry (65 citations), Epidemiology (270 citations) and Molecular Biology (510 citations). Ryan D. Sheldon has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Sean C. Newcomer, R. Scott Rector, M. Harold Laughlin, Jaume Padilla, Russell G. Jones, Eric B. Taylor, John P. Thyfault, D. Michael Shasby, S. S. Shasby and Alan B. Moy. Their work appears in journals such as Cell Reports, Cell Metabolism, Nature Protocols, Nature Communications and Molecular Metabolism.

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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