M.Leonard Mole

745 citations
32 papers · 395 · h-index 12

Impact in

Papers in

    • Cannabis and Cannabinoid Research 5
    • Pharmacogenetics and Drug Metabolism 3
    • GABA and Rice Research 4

M.Leonard Mole

31 papers receiving 381 citations

Peers

M.Leonard Mole
Comparison fields: 5 of 88
  • Health, Toxicology and Mutagenesis 86
  • Pharmacology 78
  • Cancer Research 63
  • Pediatrics, Perinatology and Child Health 64
  • Pharmacology 31
Replace Joseph T. Martin with:
Joseph T. Martin United States
Juki Kimura Japan
Shyamali Mukherjee United States
Sherri Brown United States
Charles D. Garner United States
Harun Budak Türkiye
Bruce Clothier United Kingdom
James E. McGuffey United States
A. Kappas United States
Kan-Jen Tsai Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by M.Leonard Mole

Since Specialization
Citations

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

Fields of papers citing papers by M.Leonard Mole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.Leonard Mole. 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 M.Leonard Mole. The network helps show where M.Leonard Mole may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199362
2 197434
3 199726
4 197323
5 198122
6 198122
7 197521
8 200020
9 197619
10 199818
11 199215
12 200111
13 199710
14 198510
15 198110
16 20068
17 19878
18 19727
19 20226
20 19856

About M.Leonard Mole

M.Leonard Mole is a scholar working on Pharmacology, Plant Science, Molecular Biology, Health, Toxicology and Mutagenesis and Nutrition and Dietetics, having authored 32 papers that have together received 395 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (5 papers), GABA and Rice Research (4 papers), Toxic Organic Pollutants Impact (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Water Treatment and Disinfection (3 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (86 citations), Pharmacology (78 citations), Cancer Research (63 citations), Pediatrics, Perinatology and Child Health (64 citations) and Pharmacology (31 citations). M.Leonard Mole has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include John M. Rogers, Carlton E. Turner, Neil Chernoff, Tina Logsdon, Robert J. Kavlock, Alfred J. Weinheimer, Robert W. Chadwick, Matthew F. Copeland, Jerome M. Goldman and Frederick J. Miller. Their work appears in journals such as Journal of Pharmaceutical Sciences, Reproductive Toxicology, Journal of Toxicology and Environmental Health, Pesticide Biochemistry and Physiology and Phytochemistry.

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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