O. Mäentausta

30 papers receiving 1.3k citations

Peers

O. Mäentausta
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 399
  • Pharmacology 117
  • Genetics 358
  • Oncology 251
  • Reproductive Medicine 70
Replace Atsuo Nagata with:
Atsuo Nagata Japan
Toshio Fukusato Japan
Qiliu Peng China
Zhen Yu China
Yuko Akazawa Japan
Lei Yan China
O Gressner Germany
Hisashi Onodera Japan
Lisa Patel United States
O. Mäentausta relative to Atsuo Nagata Japan Atsuo Nagata's profile →
Citations per field
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Atsuo Nagata · 1×
Citations per year

Countries citing papers authored by O. Mäentausta

Since Specialization
Citations

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

Fields of papers citing papers by O. Mäentausta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988320
2 1988264
3 1981112
4 198485
5
Immunohistochemical localization of 17 beta-hydroxysteroid dehydrogenase in the human endometrium during the menstrual cycle.
199159
6 200847
7 199345
8
Amniotic fluid bile acids in normal and pathologic pregnancy.
198040
9 198237
10 198735
11 199035
12 197931
13 199231
14 198224
15 198023
16
Direct solid-phase time-resolved fluoroimmunoassay of 17 alpha-hydroxyprogesterone in serum and dried blood spots on filter paper.
199018
17 199318
18 198417
19
Time-resolved immunofluorometric assay of sex-hormone binding globulin.
198816
20 199015

About O. Mäentausta

O. Mäentausta is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Oncology and Molecular Biology, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (10 papers), Hormonal Regulation and Hypertension (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Pediatric Hepatobiliary Diseases and Treatments (6 papers), Liver Diseases and Immunity (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Aldose Reductase and Taurine (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (399 citations), Pharmacology (117 citations), Genetics (358 citations), Oncology (251 citations) and Reproductive Medicine (70 citations). O. Mäentausta has collaborated with scholars based in Finland, Sweden and Germany. Frequent co-authors include R. Vihko, Veli Isomaa, Hellevi Peltoketo, Olli A. Jänne, S. Niemi, Jorma Heikkinen, A P Mowat, Premila Trivedi, Juha Risteli and Leila Risteli. Their work appears in journals such as Clinical Chemistry, The Prostate, European Journal of Obstetrics & Gynecology and Reproductive Biology, BJOG An International Journal of Obstetrics & Gynaecology and Animal Reproduction Science.

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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