David Main

2.8k citations
21 papers · 2.5k · h-index 21

Impact in

  • Physiology top 2%
    • Smoking Behavior and Cessation
  • Genetics top 2%
    • BRCA gene mutations in cancer
    • Genetic Associations and Epidemiology

Papers in

    • BRCA gene mutations in cancer 9
    • Glioma Diagnosis and Treatment 1
    • Genetic Associations and Epidemiology 1
    • Smoking Behavior and Cessation 9

David Main

21 papers receiving 2.4k citations

Peers

David Main
Comparison fields: 5 of 77
  • Physiology 878
  • Genetics 988
  • Cellular and Molecular Neuroscience 240
  • Oncology 133
  • Pharmacology 57
Replace Janet E. Audrain with:
Janet E. Audrain United States
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Citations per field
00.5×1.5×
Janet E. Audrain · 1×
Citations per year

Countries citing papers authored by David Main

Since Specialization
Citations

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

Fields of papers citing papers by David Main

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999250
2 2004229
3 1999225
4 2000214
5 2001185
6 1996179
7 1998167
8
Dopamine D4 receptors and the risk of cigarette smoking in African-Americans and Caucasians.
1998127
9 2000123
10 2002107
11
Spiritual faith and genetic testing decisions among high-risk breast cancer probands.
200096
12 200487
13
The role of the serotonin transporter gene in cigarette smoking.
199885
14 200272
15 200162
16 198749
17
Utilization of breast cancer screening in a clinically based sample of women after BRCA1/2 testing.
200248
18
Nicotine metabolism and CYP2D6 phenotype in smokers.
200146
19 200440
20 199734

About David Main

David Main is a scholar working on Genetics, Physiology, Genetics, Pharmacology and Pathology and Forensic Medicine, having authored 21 papers that have together received 2.5k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (9 papers), BRCA gene mutations in cancer (9 papers), Glioma Diagnosis and Treatment (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Global Cancer Incidence and Screening (1 paper), Genetic Associations and Epidemiology (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Physiology (878 citations), Genetics (988 citations), Cellular and Molecular Neuroscience (240 citations), Oncology (133 citations) and Pharmacology (57 citations). David Main has collaborated with scholars based in United States, Canada and Ukraine. Frequent co-authors include Caryn Lerman, Janet E. Audrain, Neil E. Caporaso, Peter G. Shields, Neal Richard Boyd, Caryn E. Lerman, Elise D. Bowman, Marc D. Schwartz, Claudine Isaacs and Beth N. Peshkin. Their work appears in journals such as Health Psychology, Journal of Clinical Oncology, Annals of Behavioral Medicine, Preventive Medicine and Molecular Psychiatry.

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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