T Kinugasa

29 total papers · 491 total citations
15 papers, 396 citations indexed

About

T Kinugasa is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, T Kinugasa has authored 15 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Reproductive Medicine, 6 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Molecular Biology. Recurrent topics in T Kinugasa's work include Ovarian function and disorders (7 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Sexual Differentiation and Disorders (4 papers). T Kinugasa is often cited by papers focused on Ovarian function and disorders (7 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Sexual Differentiation and Disorders (4 papers). T Kinugasa collaborates with scholars based in Japan. T Kinugasa's co-authors include K Kurachi, Toshihiro Aono, Akira Miyake, Osamu Tanizawa, Toshio Onishi, N. Shimizu, M. Tohyama, Tetsuro Sakumoto, Keiji Satoh and Y Kimoto and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Obstetrics and Gynecology and Experimental Brain Research.

In The Last Decade

T Kinugasa

15 papers receiving 362 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
T Kinugasa	176	106	79	75	61	15	396
Agnete Overgaard	144 0.8×	54 0.5×	73 0.9×	65 0.9×	51 0.8×	14	408
Albert Ratner	127 0.7×	122 1.2×	52 0.7×	43 0.6×	44 0.7×	15	376
Marina A. Silveira	161 0.9×	64 0.6×	35 0.4×	139 1.9×	69 1.1×	19	394
Frank Slaby	75 0.4×	81 0.8×	37 0.5×	62 0.8×	44 0.7×	15	394
Daniel Jordan	133 0.8×	43 0.4×	88 1.1×	68 0.9×	51 0.8×	14	409
Brigitte J. Todd	178 1.0×	76 0.7×	33 0.4×	63 0.8×	76 1.2×	11	429
A. E. Miller	149 0.8×	135 1.3×	28 0.4×	43 0.6×	37 0.6×	14	350
Oneida M. Cramer	164 0.9×	116 1.1×	20 0.3×	70 0.9×	65 1.1×	12	333
M. Susan Smith	214 1.2×	86 0.8×	27 0.3×	90 1.2×	78 1.3×	9	355
Katsuharu Kubo	197 1.1×	52 0.5×	31 0.4×	68 0.9×	121 2.0×	15	413

Countries citing papers authored by T Kinugasa

Since Specialization

Citations

This map shows the geographic impact of T Kinugasa'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 T Kinugasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Kinugasa more than expected).

Fields of papers citing papers by T Kinugasa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Kinugasa

This figure shows the co-authorship network connecting the top 25 collaborators of T Kinugasa. A scholar is included among the top collaborators of T Kinugasa 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 T Kinugasa. T Kinugasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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