Sigal Tepper

482 citations
23 papers · 319 · h-index 10

Impact in

Papers in

Sigal Tepper

17 papers receiving 315 citations

Peers

Sigal Tepper
Comparison fields: 5 of 60
  • Pharmacology 77
  • Pathology and Forensic Medicine 50
  • Ecology 76
  • Public Health, Environmental and Occupational Health 73
  • Cognitive Neuroscience 45
Replace Ulka Agarwal with:
Ulka Agarwal United States
Mohamad Motevalli Austria
Evelyn Medawar Germany
Shrisha Mohit Canada
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Amber A. Green United States
Warren Peters United States
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Citations per field
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Citations per year

Countries citing papers authored by Sigal Tepper

Since Specialization
Citations

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

Fields of papers citing papers by Sigal Tepper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019104
2 202248
3 202145
4 201622
5 201819
6 202315
7 201313
8 201313
9 201610
10 20239
11 20138
12 20204
13 20243
14 20243
15 20251
16 20231
17 20201
18 20250
19 20250
20 20240

About Sigal Tepper

Sigal Tepper is a scholar working on Ecology, Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine, Clinical Psychology and Management, Monitoring, Policy and Law, having authored 23 papers that have together received 319 indexed citations. Recurring topics across this work include Agriculture Sustainability and Environmental Impact (9 papers), Vitamin D Research Studies (4 papers), Obesity, Physical Activity, Diet (3 papers), Nutritional Studies and Diet (3 papers), Eating Disorders and Behaviors (3 papers), Environmental Education and Sustainability (2 papers), Consumer Attitudes and Food Labeling (2 papers) and Simulation-Based Education in Healthcare (1 paper). The work is most often cited by research in Pharmacology (77 citations), Pathology and Forensic Medicine (50 citations), Ecology (76 citations), Public Health, Environmental and Occupational Health (73 citations) and Cognitive Neuroscience (45 citations). Sigal Tepper has collaborated with scholars based in Israel, Portugal and United States. Frequent co-authors include Diklah Geva, Danit R. Shahar, Meidad Kissinger, Aviad Schnapp, Alina Nemirovski, Joseph Tam, Adi Aran, Hanoch Cassuto, Sophia Ish‐Shalom and Moria Golan. Their work appears in journals such as Nutrients, European Journal of Nutrition, Nutrition Metabolism and Cardiovascular Diseases, Diabetes Obesity and Metabolism and Children and Youth Services Review.

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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