Yuzuru Ishimura

170 papers receiving 7.5k citations

Peers

Yuzuru Ishimura
Comparison fields: 5 of 128
  • Pharmacology 1.3k
  • Biological Psychiatry 227
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Cell Biology 1.2k
  • Inorganic Chemistry 979
Replace Volker Ullrich with:
Volker Ullrich Germany
Pavel Martásek Czechia
Philip Feigelson United States
Cecília M. P. Rodrigues Portugal
Russell Hilf United States
Bettie Sue Siler Masters United States
Arthur J.L. Cooper United States
Charles H. Williams United States
Timothy L. Macdonald United States
Arthur A. Spector United States
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Citations per field
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Citations per year

Countries citing papers authored by Yuzuru Ishimura

Since Specialization
Citations

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

Fields of papers citing papers by Yuzuru Ishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003361
2 1995311
3 1999306
4 1989291
5 1989230
6 1998218
7 1994160
8 1992141
9 2001131
10 1992131
11 1990126
12 1994126
13 1991120
14 1994119
15 1989117
16 1986112
17 1971110
18 2000106
19 2000106
20 1970105

About Yuzuru Ishimura

Yuzuru Ishimura is a scholar working on Molecular Biology, Cell Biology, Endocrinology, Diabetes and Metabolism, Pharmacology and Physiology, having authored 172 papers that have together received 7.7k indexed citations. Recurring topics across this work include Hemoglobin structure and function (42 papers), Heme Oxygenase-1 and Carbon Monoxide (34 papers), Hormonal Regulation and Hypertension (24 papers), Photosynthetic Processes and Mechanisms (22 papers), Pharmacogenetics and Drug Metabolism (18 papers), Metal-Catalyzed Oxygenation Mechanisms (16 papers), Neonatal Health and Biochemistry (15 papers) and Mass Spectrometry Techniques and Applications (13 papers). The work is most often cited by research in Pharmacology (1.3k citations), Biological Psychiatry (227 citations), Endocrinology, Diabetes and Metabolism (1.2k citations), Cell Biology (1.2k citations) and Inorganic Chemistry (979 citations). Yuzuru Ishimura has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Makoto Suematsu, Fumiko Mitani, Ryu Makino, Tetsutarō Iizuka, Hideo Shimada, H. Shimada, Nobuhito Goda, T. Egawa, Harutoshi Kizaki and Tatsuya Ogishima. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, The Journal of Biochemistry, Hepatology and American Journal of Physiology-Heart and Circulatory Physiology.

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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