K Shida

736 citations
70 papers · 606 · h-index 14

Impact in

Papers in

K Shida

68 papers receiving 550 citations

Peers

K Shida
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 273
  • Urology 61
  • Reproductive Medicine 58
  • Pulmonary and Respiratory Medicine 172
  • Biomaterials 61
Replace Xiaoke Huang with:
Xiaoke Huang United States
Wilfrid F. White United States
Wen Zhou United States
Yoshihiro Waki Japan
Jeffrey Woodliff United States
Jianlin Yuan China
Dar-Shih Hsieh Taiwan
Victoria Frost United Kingdom
JT Dingle United Kingdom
K Shida relative to Xiaoke Huang United States Xiaoke Huang's profile →
Citations per field
00.5×4.5×
Xiaoke Huang · 1×
Citations per year

Countries citing papers authored by K Shida

Since Specialization
Citations

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

Fields of papers citing papers by K Shida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199243
2 197136
3 196929
4 197226
5 200625
6 197723
7
Testosterone metabolism in prostate; formation of androstan-17-beta-ol-3-one and androst-4-ene-3, 17-dione, and inhibitory effect of natural and synthetic estrogens.
196523
8 198320
9 198419
10
Effect of estracyt on the rat prostate.
197717
11 198317
12 198214
13 198114
14 198313
15 198613
16 197213
17 197213
18 197712
19
198211
20 198111

About K Shida

K Shida is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Molecular Biology, Genetics and Physiology, having authored 70 papers that have together received 606 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (39 papers), Prostate Cancer Treatment and Research (25 papers), Sexual Differentiation and Disorders (10 papers), Estrogen and related hormone effects (10 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Sperm and Testicular Function (4 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (273 citations), Urology (61 citations), Reproductive Medicine (58 citations), Pulmonary and Respiratory Medicine (172 citations) and Biomaterials (61 citations). K Shida has collaborated with scholars based in Japan, Czechia and United States. Frequent co-authors include Jun Shimazaki, Hidetoshi Yamanaka, Isao Kaetsu, Masaharu Asano, Masaoki Harada, Masaru Yoshida, Hisako Yuasa, Yoshikazu Ito, Hideyuki Kurihara and Keiji Suzuki. Their work appears in journals such as The Prostate, Polymer Journal, Biomaterials, Chemical and Pharmaceutical Bulletin and Journal of Thoracic Oncology.

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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