A.I. Csapo

133 papers receiving 4.1k citations

A.I. Csapo's Hit Papers

Progesterone “block” 1956 · 257 citations
2570+23+46Years since publication50100150200250

Peers

A.I. Csapo
Comparison fields: 5 of 121
  • Reproductive Medicine 956
  • Obstetrics and Gynecology 676
  • Public Health, Environmental and Occupational Health 1.5k
  • Immunology 1.0k
  • Agronomy and Crop Science 504
Replace Dan Tulchinsky with:
Dan Tulchinsky United States
M. Bygdeman Sweden
M. Yusoff Dawood United States
Stuart Handwerger United States
Griff T. Ross United States
B.F. Mitchell Canada
Judith L. Vaitukaitis United States
William Gibb Canada
Lars Hamberger Sweden
Selna L. Kaplan United States
A.I. Csapo relative to Dan Tulchinsky United States Dan Tulchinsky's profile →
Citations per field
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Dan Tulchinsky · 1×
Citations per year

Countries citing papers authored by A.I. Csapo

Since Specialization
Citations

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

Fields of papers citing papers by A.I. Csapo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.I. Csapo. 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 A.I. Csapo. The network helps show where A.I. Csapo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972273
2 1973260
3
Progesterone “block”
Hit paper breakdown →
1956257
4 1978242
5 1969164
6 197195
7 197391
8 196184
9 196582
10 197780
11 197778
12 197077
13 195477
14 196272
15 196567
16 196562
17 198260
18 195459
19 196357
20 196957

About A.I. Csapo

A.I. Csapo is a scholar working on Public Health, Environmental and Occupational Health, Immunology, Obstetrics and Gynecology, Reproductive Medicine and Social Psychology, having authored 134 papers that have together received 4.7k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (28 papers), Neuroendocrine regulation and behavior (18 papers), Endometriosis Research and Treatment (17 papers), Estrogen and related hormone effects (16 papers), Electrolyte and hormonal disorders (13 papers), Pregnancy-related medical research (12 papers), Ectopic Pregnancy Diagnosis and Management (12 papers) and Reproductive Physiology in Livestock (12 papers). The work is most often cited by research in Reproductive Medicine (956 citations), Obstetrics and Gynecology (676 citations), Public Health, Environmental and Occupational Health (1.5k citations), Immunology (1.0k citations) and Agronomy and Crop Science (504 citations). A.I. Csapo has collaborated with scholars based in United States, Hungary and Finland. Frequent co-authors include M.O. Pulkkinen, Walter G. Wiest, Jacques P. Sauvage, Milan R. Henzl, George W. Corner, Helena Kaihola, T. Erdös, Hiroshi Kuriyama, Hiroshi Takeda and Claudia Puri. Their work appears in journals such as Prostaglandins, American Journal of Obstetrics and Gynecology, Endocrinology, Nature and Fertility and Sterility.

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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