Y Nishizawa

751 citations
32 papers · 596 indexed · h-index 13

Y Nishizawa

31 papers receiving 561 citations

Peers

Y Nishizawa
Comparison fields: 5 of 74
  • Nephrology 185
  • Endocrinology, Diabetes and Metabolism 147
  • Cardiology and Cardiovascular Medicine 113
  • Cancer Research 70
  • Surgery 153
Replace Sheng Jiao with:
Sheng Jiao China
Nada Cordasic Germany
Hermann Joseph Gröne Germany
Junna Yamaguchi Japan
Hequn Zou China
M. Ciccarese Italy
Susumu Yukawa Japan
Motoshi Ouchi Japan
Hyun Wha Chung South Korea
Valter Donadon Italy
Y Nishizawa relative to Sheng Jiao China Sheng Jiao's profile →
Citations per field
00.5×2.6×
Sheng Jiao · 1×
Citations per year

Countries citing papers authored by Y Nishizawa

Since Specialization
Citations

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

Fields of papers citing papers by Y Nishizawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201639
2 200157
3 200115
4 199918
5 19994
6 199919
7 19967
8 199613
9 199318
10 199224
11 199211
12 19915
13 199110
14 19901
15 199012
16
Effects of estrogen on cell proliferation and leukotriene formation in transformed mouse Leydig cells cultured under serum-free conditions.
19908
17
Effect of androgen on proliferation of estrogen-responsive transformed mouse Leydig cells in serum-free culture.
19896
18 198712
19
Inhibitory and stimulatory effects of glucocorticoid on androgen-induced growth of murine Shionogi carcinoma 115 in vivo and in cell culture.
198752
20 19863

About Y Nishizawa

Y Nishizawa is a scholar working on Toxicology, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 32 papers that have together received 596 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (9 papers), Cancer, Hypoxia, and Metabolism (6 papers), Sperm and Testicular Function (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Bioactive Compounds and Antitumor Agents (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Synthesis and biological activity (2 papers) and Pharmacology and Obesity Treatment (2 papers). The work is most often cited by research in Nephrology (185 citations), Endocrinology, Diabetes and Metabolism (147 citations) and Cardiology and Cardiovascular Medicine (113 citations). Y Nishizawa has collaborated with scholars based in Japan and China. Frequent co-authors include Takahiko Kawagishi, Tsutomu Tabata, Takashi Inoue, Koichi Kawasaki, Takahiro Shoji, H Morii, H. Taniwaki, Tetsuo Shoji, H Morii and Bunzo Sato. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Kidney International, American Journal of Kidney Diseases, Journal of the American Society of Nephrology and Nephrology Dialysis Transplantation.

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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