David Gal

81 papers receiving 2.4k citations

Peers

David Gal
Comparison fields: 5 of 167
  • General Decision Sciences 140
  • Obstetrics and Gynecology 366
  • Marketing 397
  • Applied Psychology 183
  • Reproductive Medicine 257
Replace Andrew R. Davidson with:
Andrew R. Davidson United States
Sharma Sc India
Andreas Hackethal Germany
David A. Savage United Kingdom
Melvin Prince United States
Jooyoung Kim South Korea
Bruce Richardson United States
Eun‐Ju Lee South Korea
Ira Horowitz United States
Hui Lei China
David Gal relative to Andrew R. Davidson United States Andrew R. Davidson's profile →
Citations per field
00.5×
Andrew R. Davidson · 1×
Citations per year

Countries citing papers authored by David Gal

Since Specialization
Citations

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

Fields of papers citing papers by David Gal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010215
2 2020192
3 1981122
4 2014118
5 2006114
6 1981113
7 1998112
8 1987110
9 2017105
10 201993
11 199177
12 199175
13 201259
14
Isolation of a novel gene, TSP50, by a hypomethylated DNA fragment in human breast cancer.
199958
15 201054
16 201553
17 199253
18 201152
19 198252
20
Effect of cell density and confluency on cholesterol metabolism in cancer cells in monolayer culture.
198149

About David Gal

David Gal is a scholar working on Obstetrics and Gynecology, Surgery, Social Psychology, Applied Psychology and Reproductive Medicine, having authored 85 papers that have together received 2.6k indexed citations. Recurring topics across this work include Behavioral Health and Interventions (10 papers), Endometrial and Cervical Cancer Treatments (10 papers), Decision-Making and Behavioral Economics (9 papers), Ovarian cancer diagnosis and treatment (8 papers), Consumer Behavior in Brand Consumption and Identification (8 papers), Estrogen and related hormone effects (7 papers), Cancer, Lipids, and Metabolism (7 papers) and Psychology of Moral and Emotional Judgment (6 papers). The work is most often cited by research in General Decision Sciences (140 citations), Obstetrics and Gynecology (366 citations), Marketing (397 citations), Applied Psychology (183 citations) and Reproductive Medicine (257 citations). David Gal has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Blakeley B. McShane, Alexander Chernev, Paul C. MacDonald, Evan R. Simpson, Derek D. Rucker, John C. Porter, M.L. Tancer, Leonard Lee, Kartik Kalaignanam and Tarun Kushwaha. Their work appears in journals such as Gynecologic Oncology, American Journal of Obstetrics and Gynecology, Journal of Marketing Research, Journal of Consumer Psychology and Journal of Consumer Research.

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.

Explore authors with similar magnitude of impact