K. Shitsukawa

518 total citations
13 papers, 419 citations indexed

About

K. Shitsukawa is a scholar working on Reproductive Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, K. Shitsukawa has authored 13 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Reproductive Medicine, 4 papers in Molecular Biology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in K. Shitsukawa's work include Growth Hormone and Insulin-like Growth Factors (4 papers), Hypothalamic control of reproductive hormones (3 papers) and TGF-β signaling in diseases (3 papers). K. Shitsukawa is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (4 papers), Hypothalamic control of reproductive hormones (3 papers) and TGF-β signaling in diseases (3 papers). K. Shitsukawa collaborates with scholars based in Japan, United States and Netherlands. K. Shitsukawa's co-authors include François J. Richard, Marco Conti, Carsten Andersen, Yoshihiro Shintani, Alex Tsafriri, Minoru Irahara, Toshihiro Aono, Satomi Saito, Kenji Harada and Andrew T. Wiersma and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Biology of Reproduction and Molecular and Cellular Endocrinology.

In The Last Decade

K. Shitsukawa

13 papers receiving 412 citations

Peers

K. Shitsukawa
Comparison fields: 5 of 60
  • Molecular Biology 195
  • Public Health, Environmental and Occupational Health 168
  • Reproductive Medicine 149
  • Endocrinology, Diabetes and Metabolism 79
  • Obstetrics and Gynecology 37
Replace Stephen F. Lunn with:
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Ilpo Huhtaniemi Finland
Gillian L. Steele Canada
Mari Tano Japan
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Wu Xiang Liao Singapore
Hongcai Cai China
Michelle Myers United Kingdom
Colleen Buggs United States
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Stephen F. Lunn United Kingdom View profile →
Citations per field, relative to K. Shitsukawa
K. Shitsukawa · 1×
Citations per year, relative to K. Shitsukawa
K. Shitsukawa · 1×

Countries citing papers authored by K. Shitsukawa

Since Specialization
Citations

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

Fields of papers citing papers by K. Shitsukawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Shitsukawa

This figure shows the co-authorship network connecting the top 25 collaborators of K. Shitsukawa. A scholar is included among the top collaborators of K. Shitsukawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K. Shitsukawa. K. Shitsukawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 13
2 1
3 25
4 63
5 7
6 76
7 30
8 43
9 85
10 6
11 66
12
337 The effect of insulin-like growth factor (IGF) on gonadotropin release from hypothalamus-pituitary axis in vitro.
1
13 3

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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2026