A. Aoki

1.1k citations
43 papers · 934 · h-index 16

Impact in

Papers in

A. Aoki

42 papers receiving 903 citations

Peers

A. Aoki
Comparison fields: 5 of 98
  • Reproductive Medicine 200
  • Endocrinology, Diabetes and Metabolism 208
  • Neurology 72
  • Endocrine and Autonomic Systems 48
  • Obstetrics and Gynecology 47
Replace Kay Carnes with:
Kay Carnes United States
Mariusz T. Skowroński Poland
Telma M.T. Zorn Brazil
Oddvar Næss Norway
Kichiya Suzuki Japan
G Grignon France
Yong Ko South Korea
David K. Pomerantz Canada
Zhao‐Yuan Hu China
Kimihisa Tajima Japan
A. Aoki relative to Kay Carnes United States Kay Carnes's profile →
Citations per field
00.5×1.5×
Kay Carnes · 1×
Citations per year

Countries citing papers authored by A. Aoki

Since Specialization
Citations

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

Fields of papers citing papers by A. Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977295
2 1977103
3 198660
4 199548
5 197843
6 197626
7 200425
8 197824
9 198124
10 199622
11 200020
12 196820
13 199319
14 199418
15 199518
16 199217
17 200014
18 199513
19
Improvement of prolactin immunolabelling in osmium-fixed acrylic-embedded pituitary gland.
198612
20 198512

About A. Aoki

A. Aoki is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Reproductive Medicine, Genetics and Pediatrics, Perinatology and Child Health, having authored 43 papers that have together received 934 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (13 papers), Sperm and Testicular Function (6 papers), Pituitary Gland Disorders and Treatments (4 papers), Birth, Development, and Health (4 papers), Physiological and biochemical adaptations (3 papers), Connective tissue disorders research (3 papers), Neonatal Respiratory Health Research (3 papers) and Digestive system and related health (3 papers). The work is most often cited by research in Reproductive Medicine (200 citations), Endocrinology, Diabetes and Metabolism (208 citations), Neurology (72 citations), Endocrine and Autonomic Systems (48 citations) and Obstetrics and Gynecology (47 citations). A. Aoki has collaborated with scholars based in Argentina, Germany and United States. Frequent co-authors include Wolf‐Georg Forssmann, Don W. Fawcett, Susumu Ito, Martin Dym, Eberhard Weihe, Cristina A. Maldonado, Alicia Inés Torres, Jutta Metz, W. G. Forssmann and J. Metz. Their work appears in journals such as Histochemistry and Cell Biology, Journal of Endocrinology, Cell and Tissue Research, Experimental and Toxicologic Pathology and Experimental and Clinical Endocrinology & Diabetes.

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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