Thomas E. Nass

689 citations
19 papers · 497 · h-index 12

Impact in

Papers in

Thomas E. Nass

18 papers receiving 479 citations

Peers

Thomas E. Nass
Comparison fields: 5 of 64
  • Reproductive Medicine 287
  • Behavioral Neuroscience 97
  • Endocrine and Autonomic Systems 72
  • Endocrinology, Diabetes and Metabolism 115
  • Aging 9
Replace B. E. Piacsek with:
B. E. Piacsek United States
Alberto J. Carrillo United States
Perry M. Gliessman United States
Winfried G. Rossmanith Germany
YOSHIHIKO AMENOMORI United States
Henry Bohler United States
R. L. W. AVERILL New Zealand
W. G. Rossmanith Germany
A. N. Bhattacharya United States
Lawrence W. Kaler United States
Thomas E. Nass relative to B. E. Piacsek United States B. E. Piacsek's profile →
Citations per field
00.5×
B. E. Piacsek · 1×
Citations per year

Countries citing papers authored by Thomas E. Nass

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Nass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Nass. 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 Thomas E. Nass. The network helps show where Thomas E. Nass may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 198493
2 198468
3 198552
4 198442
5 198942
6 198441
7 198831
8 198427
9 199122
10 198516
11 198515
12 198211
13 19849
14 19799
15 19849
16 20024
17 19833
18 20023
19 20180

About Thomas E. Nass

Thomas E. Nass is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Genetics, having authored 19 papers that have together received 497 indexed citations. Recurring topics across this work include Ovarian function and disorders (7 papers), Hypothalamic control of reproductive hormones (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Prenatal Screening and Diagnostics (4 papers), Reproductive Biology and Fertility (4 papers), Assisted Reproductive Technology and Twin Pregnancy (4 papers), Estrogen and related hormone effects (2 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Reproductive Medicine (287 citations), Behavioral Neuroscience (97 citations), Endocrine and Autonomic Systems (72 citations), Endocrinology, Diabetes and Metabolism (115 citations) and Aging (9 citations). Thomas E. Nass has collaborated with scholars based in United States. Frequent co-authors include John K.H. Lu, Philip S. LaPolt, Ryszard J. Chetkowski, Ei Terasawa, Howard L. Judd, John J. Noonan, Donald J. Dierschke, Dennis W. Matt, William E. Bridson and Michael D. Loose. Their work appears in journals such as Fertility and Sterility, Endocrinology, Biology of Reproduction, Advances in experimental medicine and biology and Journal of Assisted Reproduction and Genetics.

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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