Thomas E. Meigs

1.2k citations
23 papers · 980 · h-index 15

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 12
    • Wnt/β-catenin signaling in development and cancer 8
    • Cancer-related gene regulation 5
    • Metabolism, Diabetes, and Cancer 4
    • Plant biochemistry and biosynthesis 4
    • Microtubule and mitosis dynamics 3

Thomas E. Meigs

23 papers receiving 971 citations

Peers

Thomas E. Meigs
Comparison fields: 5 of 78
  • Cell Biology 225
  • Immunology and Allergy 83
  • Molecular Biology 813
  • Biochemistry 44
  • Cellular and Molecular Neuroscience 97
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Thomas E. Meigs relative to Robert Erdman United States Robert Erdman's profile →
Citations per field
00.5×3.4×
Robert Erdman · 1×
Citations per year

Countries citing papers authored by Thomas E. Meigs

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Meigs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Meigs. 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 Thomas E. Meigs. The network helps show where Thomas E. Meigs may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996118
2 1998113
3 2007110
4 2002104
5 2004102
6 199791
7 200164
8 200139
9 200436
10 200535
11 199229
12 200522
13 201020
14 200719
15 199516
16 200314
17 201610
18 201410
19 20088
20 20138

About Thomas E. Meigs

Thomas E. Meigs is a scholar working on Molecular Biology, Cell Biology, Genetics, Immunology and Allergy and Oncology, having authored 23 papers that have together received 980 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (12 papers), Wnt/β-catenin signaling in development and cancer (8 papers), Cancer-related gene regulation (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Plant biochemistry and biosynthesis (4 papers), Cell Adhesion Molecules Research (3 papers), Microtubule and mitosis dynamics (3 papers) and Blood disorders and treatments (3 papers). The work is most often cited by research in Cell Biology (225 citations), Immunology and Allergy (83 citations), Molecular Biology (813 citations), Biochemistry (44 citations) and Cellular and Molecular Neuroscience (97 citations). Thomas E. Meigs has collaborated with scholars based in United States, Spain and Norway. Frequent co-authors include Patrick J. Casey, Robert Simoni, Daniel D. Kaplan, Patrick Kelly, Jennifer L. Glick, Alexander Miron, Mary Fedor‐Chaiken, Robert Brackenbury, Timothy A. Fields and David D. McKee. Their work appears in journals such as Journal of Biological Chemistry, Cellular Signalling, Experimental Cell Research, Molecular Pharmacology and Cold Spring Harbor Protocols.

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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