David Main

3.0k citations
25 papers · 2.5k indexed · h-index 23

Impact in

Papers in

David Main

25 papers receiving 2.4k citations

Peers

David Main
Comparison fields: 5 of 110
  • Genetics 1.1k
  • Applied Psychology 169
  • Physiology 730
  • Cellular and Molecular Neuroscience 342
  • Pediatrics, Perinatology and Child Health 247
Replace Janet Audrain with:
Janet Audrain United States
Ilse M. Beck Belgium
Suzanne C. O’Neill United States
Neal R. Boyd United States
Jehannine Austin Canada
Deborah Grady United States
Xiehe Liu China
Anna Murray United Kingdom
Patrick S. Johnson United States
Jonathan B. Singer United States
David Main relative to Janet Audrain United States Janet Audrain's profile →
Citations per field
00.5×1.5×
Janet 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-authorship network

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
#Work
1 201132
2 2008124
3 200478
4 200438
5 2004206
6
Utilization of breast cancer screening in a clinically based sample of women after BRCA1/2 testing.
200249
7 2001169
8 200158
9
Nicotine metabolism and CYP2D6 phenotype in smokers.
200143
10 2000109
11 2000204
12
Spiritual faith and genetic testing decisions among high-risk breast cancer probands.
200094
13 1999237
14 1999211
15 1998151
16
Dopamine D4 receptors and the risk of cigarette smoking in African-Americans and Caucasians.
1998121
17 199732
18 1996181
19
Factors influencing mammogram ordering at the time of the office visit.
199320
20 198745

About David Main

David Main is a scholar working on Genetics, Physiology, Cellular and Molecular Neuroscience, Applied Psychology and Oncology, having authored 25 papers that have together received 2.5k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (8 papers), Smoking Behavior and Cessation (8 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Family Support in Illness (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Global Cancer Incidence and Screening (3 papers), Colorectal Cancer Screening and Detection (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Genetics (1.1k citations), Applied Psychology (169 citations), Physiology (730 citations), Cellular and Molecular Neuroscience (342 citations) and Pediatrics, Perinatology and Child Health (247 citations). David Main has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Caryn Lerman, Janet Audrain, Neil E. Caporaso, Peter G. Shields, Neal R. Boyd, Caryn 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, Heredity, Preventive Medicine and Annals of Behavioral Medicine.

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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