Seth Sherman

57 papers receiving 2.0k citations

Peers

Seth Sherman
Comparison fields: 5 of 119
  • Health, Toxicology and Mutagenesis 1.0k
  • Virology 179
  • Obstetrics and Gynecology 231
  • Pediatrics, Perinatology and Child Health 379
  • Cognitive Neuroscience 326
Replace Gerald N. DeLorenze with:
Gerald N. DeLorenze United States
Yu Taniguchi Japan
Edwin Trevathan United States
Anna Oudin Sweden
Yanhui Dong China
Virginia Delaney‐Black United States
Mark Ghamsary United States
Yin Yang China
Ryan Seals United States
Eva María Navarrete‐Muñoz Spain
Seth Sherman relative to Gerald N. DeLorenze United States Gerald N. DeLorenze's profile →
Citations per field
00.5×3.4×
Gerald N. DeLorenze · 1×
Citations per year

Countries citing papers authored by Seth Sherman

Since Specialization
Citations

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

Fields of papers citing papers by Seth Sherman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001197
2 2015155
3 2004119
4 2012101
5 201795
6 201690
7 200689
8 201782
9 201770
10 201466
11 200363
12 201854
13 201848
14 201643
15 201942
16 201639
17 201739
18 201838
19 201732
20 201931

About Seth Sherman

Seth Sherman is a scholar working on Health, Toxicology and Mutagenesis, Pediatrics, Perinatology and Child Health, General Health Professions, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology, having authored 60 papers that have together received 2.0k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (24 papers), Climate Change and Health Impacts (21 papers), Global Health Care Issues (14 papers), Birth, Development, and Health (9 papers), Gestational Diabetes Research and Management (7 papers), Pregnancy and Medication Impact (6 papers), Asthma and respiratory diseases (5 papers) and Pregnancy and preeclampsia studies (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.0k citations), Virology (179 citations), Obstetrics and Gynecology (231 citations), Pediatrics, Perinatology and Child Health (379 citations) and Cognitive Neuroscience (326 citations). Seth Sherman has collaborated with scholars based in United States, Singapore and Finland. Frequent co-authors include Pauline Mendola, Danping Liu, Chantal E. Stern, Sandie Ha, Michael E. Hasselmo, Brenda A. Kirchhoff, Carrie J. Nobles, Yeyi Zhu, Katherine L. Grantz and Qi Ying. Their work appears in journals such as Environmental Research, International Journal of Environmental Research and Public Health, Annals of Epidemiology, American Journal of Epidemiology and The Science of The Total Environment.

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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