John E. Nichols

1.3k citations
36 papers · 1.0k · h-index 17

Impact in

Papers in

John E. Nichols

34 papers receiving 975 citations

Peers

John E. Nichols
Comparison fields: 5 of 90
  • Reproductive Medicine 269
  • Obstetrics and Gynecology 172
  • Genetics 251
  • Oncology 190
  • Endocrinology, Diabetes and Metabolism 84
Replace Ko‐En Huang with:
Ko‐En Huang Taiwan
Dorothea Fischer Germany
Tomonori Ishikawa Japan
Ilma Simoni Brum Brazil
Robert Benveniste United States
P. Hellberg Sweden
Fritz Wieser Austria
Joel R. Eisner United States
Valerio M. Jasonni Italy
Alice Wang United States
John E. Nichols relative to Ko‐En Huang Taiwan Ko‐En Huang's profile →
Citations per field
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Citations per year

Countries citing papers authored by John E. Nichols

Since Specialization
Citations

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

Fields of papers citing papers by John E. Nichols

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995201
2 1996151
3 199699
4 200389
5 200781
6
Aromatase gene expression in adipose tissue: relationship to breast cancer.
199447
7 200139
8
Estrogen biosynthesis in adipose tissue: regulation by paracrine and autocrine mechanisms.
199634
9 200332
10 201330
11 201529
12 200224
13 199319
14 197318
15 196917
16 200316
17 196916
18 197014
19 19959
20 19669

About John E. Nichols

John E. Nichols is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Genetics, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ovarian function and disorders (10 papers), Reproductive Biology and Fertility (8 papers), Assisted Reproductive Technology and Twin Pregnancy (7 papers), Estrogen and related hormone effects (4 papers), Reproductive System and Pregnancy (3 papers), Gynecological conditions and treatments (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Reproductive Health and Technologies (3 papers). The work is most often cited by research in Reproductive Medicine (269 citations), Obstetrics and Gynecology (172 citations), Genetics (251 citations), Oncology (190 citations) and Endocrinology, Diabetes and Metabolism (84 citations). John E. Nichols has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Ying Zhao, Serdar E. Bulun, Carole R. Mendelson, Evan R. Simpson, Edward Simpson, Martin M. Crane, William R. Boone, H. Lee Higdon, E R Simpson and Michael P. Steinkampf. Their work appears in journals such as Fertility and Sterility, The Lancet, Journal of Minimally Invasive Gynecology, JAMA and Nature Communications.

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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