Michelle Solomon

456 citations
13 papers · 282 · h-index 9

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Diabetes and associated disorders

Papers in

    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 2
    • Pancreatic function and diabetes 6

Michelle Solomon

13 papers receiving 278 citations

Peers

Michelle Solomon
Comparison fields: 5 of 60
  • Immunology 91
  • Genetics 110
  • Surgery 102
  • Pharmacology 32
  • Hepatology 15
Replace Peter E. Heding with:
Peter E. Heding Denmark
Ming‐Wei Chien Taiwan
Aaron Gould United States
Laurence Christa France
Xue Hou China
Raphaëlle Ballaire France
Hsin‐Yuan Su United States
Michael E. Fusakio United States
Se Kyu Oh South Korea
Lan Liu China
Michelle Solomon relative to Peter E. Heding Denmark Peter E. Heding's profile →
Citations per field
00.5×8.3×
Peter E. Heding · 1×
Citations per year

Countries citing papers authored by Michelle Solomon

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Solomon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle Solomon. 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 Michelle Solomon. The network helps show where Michelle Solomon may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201849
2 201942
3 200334
4 201733
5 200432
6 200930
7 200520
8 200716
9 201014
10 20047
11 20053
12 20241
13 20171

About Michelle Solomon

Michelle Solomon is a scholar working on Immunology, Surgery, Genetics, Pharmacology and Oncology, having authored 13 papers that have together received 282 indexed citations. Recurring topics across this work include Diabetes and associated disorders (7 papers), Pancreatic function and diabetes (6 papers), Immune Cell Function and Interaction (6 papers), Chemokine receptors and signaling (2 papers), T-cell and B-cell Immunology (2 papers), Obesity and Health Practices (1 paper), Diabetes Management and Research (1 paper) and Musculoskeletal pain and rehabilitation (1 paper). The work is most often cited by research in Immunology (91 citations), Genetics (110 citations), Surgery (102 citations), Pharmacology (32 citations) and Hepatology (15 citations). Michelle Solomon has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Nora Sarvetnick, Charmaine J. Simeonovic, Malin Flodström‐Tullberg, William A. Kuziel, Balaji Balasa, David A. Mann, David J. Unett, Graeme Semple, Ibragim Gaidarov and Sangdon Han. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Biology Direct, ACS Medicinal Chemistry Letters, Immunology and Cell Biology and Cell Transplantation.

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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