Tom Coleman

474 citations
21 papers · 367 indexed · h-index 13

Impact in

Papers in

Tom Coleman

20 papers receiving 367 citations

Peers

Tom Coleman
Comparison fields: 5 of 46
  • Pharmacology 254
  • Inorganic Chemistry 194
  • Applied Microbiology and Biotechnology 13
  • Biochemistry 20
  • Oncology 74
Replace Matthew N. Podgorski with:
Matthew N. Podgorski Australia
Jake A. Yorke United Kingdom
Paul J. Loida United States
Jeffery P. Jones United States
Steffen Maurer Germany
Matthew D. DeMars United States
Nikhil Taxak India
Liany Luna-Dulcey Brazil
Julie-Anne Stevenson United Kingdom
R.J. Sowden United Kingdom
Tom Coleman relative to Matthew N. Podgorski Australia Matthew N. Podgorski's profile →
Citations per field
00.5×1.5×
Matthew N. Podgorski · 1×
Citations per year

Countries citing papers authored by Tom Coleman

Since Specialization
Citations

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

Fields of papers citing papers by Tom Coleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 20242
4 20244
5 20237
6 20236
7 202217
8 202225
9 202212
10 202222
11 202218
12 202116
13 20219
14 202141
15 202023
16 202036
17 201928
18 201834
19 201624
20 201534

About Tom Coleman

Tom Coleman is a scholar working on Pharmacology, Inorganic Chemistry, Applied Microbiology and Biotechnology, Biochemistry and Biotechnology, having authored 21 papers that have together received 367 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (17 papers), Metal-Catalyzed Oxygenation Mechanisms (14 papers), Drug Transport and Resistance Mechanisms (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Enzyme Production and Characterization (2 papers), Enzyme Catalysis and Immobilization (2 papers), Biofuel production and bioconversion (2 papers) and Eicosanoids and Hypertension Pharmacology (2 papers). The work is most often cited by research in Pharmacology (254 citations), Inorganic Chemistry (194 citations), Applied Microbiology and Biotechnology (13 citations), Biochemistry (20 citations) and Oncology (74 citations). Tom Coleman has collaborated with scholars based in Australia, Sweden and United Kingdom. Frequent co-authors include Stephen G. Bell, James J. De Voss, John B. Bruning, Matthew N. Podgorski, Elizabeth H. Krenske, Jeanette E. Stok, Paul V. Bernhardt, Jeffrey R. Harmer, Johan Larsbrink and Merima Hasani. Their work appears in journals such as ACS Catalysis, Chemistry - A European Journal, Journal of Inorganic Biochemistry, Chemistry - An Asian Journal and Scientific Reports.

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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