Akio Ishida

2.0k citations
96 papers · 1.6k · h-index 23

Impact in

Papers in

Akio Ishida

91 papers receiving 1.5k citations

Peers

Akio Ishida
Comparison fields: 5 of 115
  • Nephrology 89
  • Hematology 113
  • Biochemistry 53
  • Biochemistry 64
  • Cardiology and Cardiovascular Medicine 161
Replace Parvaneh Rafiee with:
Parvaneh Rafiee United States
Claudia Di Serio Italy
Masao Fujimoto Japan
Mi-Sung Kim South Korea
Fei Gao China
Jianchao Ma China
Taras Afonyushkin Austria
Anne Sturrock United States
Pankaj Goyal India
Akio Ishida relative to Parvaneh Rafiee United States Parvaneh Rafiee's profile →
Citations per field
00.5×2.6×
Parvaneh Rafiee · 1×
Citations per year

Countries citing papers authored by Akio Ishida

Since Specialization
Citations

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

Fields of papers citing papers by Akio Ishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997140
2 199691
3 200590
4 200088
5 198784
6 200769
7 199860
8 199652
9 199649
10 200044
11 200042
12 199741
13 200835
14 200033
15 201231
16 200230
17 199929
18 201627
19 199424
20 200624

About Akio Ishida

Akio Ishida is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Genetics and Oncology, having authored 96 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Cardiovascular Health and Disease Prevention (7 papers), Peripheral Artery Disease Management (7 papers), Blood Pressure and Hypertension Studies (5 papers), Cardiovascular Function and Risk Factors (4 papers), Congenital Heart Disease Studies (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Nephrology (89 citations), Hematology (113 citations), Biochemistry (53 citations), Biochemistry (64 citations) and Cardiology and Cardiovascular Medicine (161 citations). Akio Ishida has collaborated with scholars based in Japan, Thailand and United States. Frequent co-authors include Toshiyuki Sasaguri, Chiya Kosaka, Jun Ogata, Yusuke Ohya, Hiroshi Nojima, Kanji Ono, Masatoshi Wakui, Takeo Abumiya, Shuichi Takishita and Shinichi Nagata. Their work appears in journals such as The Journal of General and Applied Microbiology, Hypertension Research, Journal of Hypertension, Bone Marrow Transplantation and Molecular Pharmacology.

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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