Jaime Steinsapir

4.3k citations
21 papers · 553 · h-index 11

Impact in

Papers in

Jaime Steinsapir

20 papers receiving 518 citations

Peers

Jaime Steinsapir
Comparison fields: 5 of 63
  • Endocrinology, Diabetes and Metabolism 342
  • Reproductive Medicine 40
  • Cancer Research 68
  • Genetics 135
  • Behavioral Neuroscience 11
Replace J. M. Jacobi with:
J. M. Jacobi Australia
Christina M. Doolan Ireland
S. Ekberg Sweden
Saija Salmi Finland
Ning-Chun Liu United States
D. Bression France
Giuseppina De Marco Italy
C Jean France
Alexandra Dace France
Albert Jochen United States
Jaime Steinsapir relative to J. M. Jacobi Australia J. M. Jacobi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jaime Steinsapir

Since Specialization
Citations

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

Fields of papers citing papers by Jaime Steinsapir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Jaime Steinsapir, 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 Jaime Steinsapir Line = papers co-authored together Jaime Steinsapir links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997121
2 1998104
3 200099
4 199168
5 198826
6 199121
7 198520
8 198218
9 199213
10 198912
11 198210
12 19828
13 19907
14 19917
15 19905
16 19944
17 19793
18
Microsomal steroid receptors in target tissues.
19923
19 19792
20 19832

About Jaime Steinsapir

Jaime Steinsapir is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Pulmonary and Respiratory Medicine and Spectroscopy, having authored 21 papers that have together received 553 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Hormonal and reproductive studies (8 papers), Prostate Cancer Treatment and Research (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Reproductive System and Pregnancy (3 papers), Ubiquitin and proteasome pathways (2 papers), Asthma and respiratory diseases (2 papers) and Ion channel regulation and function (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (342 citations), Reproductive Medicine (40 citations), Cancer Research (68 citations), Genetics (135 citations) and Behavioral Neuroscience (11 citations). Jaime Steinsapir has collaborated with scholars based in United States, Chile and Japan. Frequent co-authors include John W. Harney, P R Larsen, Thomas G. Muldoon, Peter S. Reinach, Robin R. Socci, Christoph Buettner, P. Reed Larsen, Antônio C. Bianco, Anthony C. Evans and Ana M. Rojas. Their work appears in journals such as Endocrinology, Journal of Endocrinology, Steroids, Biochemical and Biophysical Research Communications and European Journal of Endocrinology.

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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