Eric M. Hecht

25 papers receiving 493 citations

Peers

Eric M. Hecht
Comparison fields: 5 of 93
  • Health, Toxicology and Mutagenesis 87
  • Cancer Research 74
  • Surgery 193
  • Pollution 28
  • Public Health, Environmental and Occupational Health 57
Replace Yeon Jean Cho with:
Yeon Jean Cho South Korea
Marta Ledesma Spain
Tsegaselassie Workalemahu United States
Li Lu China
Thomas L. Vaughan United States
Hui Tan China
Sonja Barth Austria
Fatih Kardaş Türkiye
Claudia Mau Denmark
Salman M. Tajuddin United States
Eric M. Hecht relative to Yeon Jean Cho South Korea Yeon Jean Cho's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eric M. Hecht

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. Hecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015208
2 201551
3 202237
4 201334
5 201632
6 201629
7 201129
8 196229
9 202016
10 20218
11 20228
12 20178
13 20225
14 20184
15 20183
16 20213
17 19883
18 20202
19 20142
20 20222

About Eric M. Hecht

Eric M. Hecht is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Public Health, Environmental and Occupational Health, Surgery and Pharmacology, having authored 25 papers that have together received 519 indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (5 papers), Heavy metals in environment (3 papers), Noise Effects and Management (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Dental Research and COVID-19 (1 paper), Chemical Synthesis and Characterization (1 paper) and Flame retardant materials and properties (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (87 citations), Cancer Research (74 citations), Surgery (193 citations), Pollution (28 citations) and Public Health, Environmental and Occupational Health (57 citations). Eric M. Hecht has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include Lucy De La Cruz, Erryn Tappy, Stephanie A. Blankenship, David C. Landy, Charles H. Hennekens, WayWay M. Hlaing, Rachael Z. Stolzenberg‐Solomon, K. H. Slotta, David Lee and Gary A. Abrams. Their work appears in journals such as American Journal of Clinical Pathology, The Lancet Global Health, American Journal of Preventive Medicine, Biomarkers and Journal of Cardiovascular Pharmacology and Therapeutics.

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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