MARK P. THOMAS

3.7k citations
93 papers · 3.2k · h-index 31

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 6
    • Cancer therapeutics and mechanisms 6
    • Calcium signaling and nucleotide metabolism 8
    • Adenosine and Purinergic Signaling 6

MARK P. THOMAS

90 papers receiving 3.1k citations

Peers

MARK P. THOMAS
Comparison fields: 5 of 162
  • Physiology 121
  • Toxicology 76
  • Biochemistry 160
  • Organic Chemistry 624
  • Molecular Biology 1.3k
Replace William H. Parsons with:
William H. Parsons United States
Yves Gareau Canada
Yinglan Zhao China
Donald S. Backos United States
Abdul H. Fauq United States
Guenther Bernhardt Germany
Jian Luo China
Yves D. Landry France
Geoffrey Wells United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by MARK P. THOMAS

Since Specialization
Citations

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

Fields of papers citing papers by MARK P. THOMAS

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by MARK P. THOMAS. 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 MARK P. THOMAS. The network helps show where MARK P. THOMAS may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006207
2 2017198
3 2015168
4 2013153
5 2004135
6 2007125
7 2017117
8 2006109
9 200099
10 201091
11 201089
12 201575
13 201271
14 199069
15 200566
16 201162
17 200458
18 201157
19 200655
20 198550

About MARK P. THOMAS

MARK P. THOMAS is a scholar working on Molecular Biology, Physiology, Oncology, Cell Biology and Biochemistry, having authored 93 papers that have together received 3.2k indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (8 papers), Estrogen and related hormone effects (8 papers), Cancer-related Molecular Pathways (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Adenosine and Purinergic Signaling (6 papers), Hormonal Regulation and Hypertension (6 papers), Cancer therapeutics and mechanisms (6 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Physiology (121 citations), Toxicology (76 citations), Biochemistry (160 citations), Organic Chemistry (624 citations) and Molecular Biology (1.3k citations). MARK P. THOMAS has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Barry V. L. Potter, Howard Eliot Gendelman, Stephen J Mills, Victor Vitvitsky, Ruma V. Banerjee, Isiah M. Warner, Gabor Patonay, Anuja Ghorpade, Anna‐Mart Engelbrecht and Peter M. Fischer. Their work appears in journals such as Journal of Medicinal Chemistry, ChemMedChem, Biochemical Society Transactions, Biochemical Journal and Analytical Chemistry.

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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