Y Ishimura

463 citations
11 papers · 429 · h-index 7

Impact in

Papers in

Y Ishimura

11 papers receiving 420 citations

Peers

Y Ishimura
Comparison fields: 5 of 60
  • Cardiology and Cardiovascular Medicine 235
  • Endocrinology, Diabetes and Metabolism 118
  • Nephrology 25
  • Immunology and Allergy 13
  • Pharmacology 31
Replace Kiyoko Ito with:
Kiyoko Ito Japan
Sha Guan United States
Alex Tzanidis Australia
Ulrich F. Mondorf Germany
Hirobumi Kishioka Japan
Nikoo Alavi United States
Chun Xi Liu China
Franziska Rompe Germany
Manuela Sommerfeld Germany
Channa Zhang China
Y Ishimura relative to Kiyoko Ito Japan Kiyoko Ito's profile →
Citations per field
00.5×1.5×1.9×
Kiyoko Ito · 1×
Citations per year

Countries citing papers authored by Y Ishimura

Since Specialization
Citations

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

Fields of papers citing papers by Y Ishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1995140
2 1994115
3 199796
4 199030
5 199913
6
TCV-116 inhibits renal interstitial and glomerular injury in glomerulosclerotic rats.
199611
7 199810
8 19974
9
Subcutaneous portal reservoir for chemotherapy of metastatic carcinoma of the liver.
19844
10
Renal protective effect of TCV-116 in stroke-prone spontaneously hypertensive rats.
19943
11
Grafting of stomach tissue into the duodenum in F344 rats results in chimeric crypts and tumor development.
20003

About Y Ishimura

Y Ishimura is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Oncology, having authored 11 papers that have together received 429 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (3 papers), Hormonal Regulation and Hypertension (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Ubiquitin and proteasome pathways (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Radiation Therapy and Dosimetry (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (235 citations), Endocrinology, Diabetes and Metabolism (118 citations), Nephrology (25 citations), Immunology and Allergy (13 citations) and Pharmacology (31 citations). Y Ishimura has collaborated with scholars based in Japan. Frequent co-authors include Fumio Chatani, Kensuke Ohta, Tokihito Yukimura, Akinori Hamaguchi, Takashi Omura, S Kim, Hiroshi Iwao, Y. Inada, Katsuyuki Miura and Takeo Wada. Their work appears in journals such as Oncology Reports, International Journal of Cancer, Hypertension, Journal of Pharmacology and Experimental Therapeutics and Clinical and Experimental Hypertension.

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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