Hiroshi Ikeda

525 papers receiving 11.7k citations

Peers

Hiroshi Ikeda
Comparison fields: 5 of 192
  • Hepatology 738
  • Orthopedics and Sports Medicine 714
  • Oncology 2.0k
  • Pathology and Forensic Medicine 1.2k
  • Bioengineering 324
Replace Alexander M. Seifalian with:
Alexander M. Seifalian United Kingdom
Gang Li China
Heinz Redl Austria
Jeremy N. Skepper United Kingdom
Wei Wang China
Jeffrey M. Karp United States
C. James Kirkpatrick Germany
John A. Frangos United States
Cornelis J.F. Van Noorden Netherlands
Daniel Chappard France
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Citations per year

Countries citing papers authored by Hiroshi Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 572 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003436
2 2006359
3 2009285
4 2014285
5 1998263
6
DNA fragmentation of human infarcted myocardial cells demonstrated by the nick end labeling method and DNA agarose gel electrophoresis.
1995238
7 2010232
8 2003191
9 1993185
10 2008174
11 2008164
12 2010156
13 2009151
14 2005142
15 2007142
16 2010136
17 1983134
18 2016123
19 2015106
20 200696

About Hiroshi Ikeda

Hiroshi Ikeda is a scholar working on Surgery, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 572 papers that have together received 12.0k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (29 papers), Knee injuries and reconstruction techniques (29 papers), Dental materials and restorations (27 papers), Head and Neck Cancer Studies (27 papers), Multiple Myeloma Research and Treatments (24 papers), Pain Mechanisms and Treatments (23 papers), Total Knee Arthroplasty Outcomes (23 papers) and Sports injuries and prevention (22 papers). The work is most often cited by research in Hepatology (738 citations), Orthopedics and Sports Medicine (714 citations), Oncology (2.0k citations), Pathology and Forensic Medicine (1.2k citations) and Bioengineering (324 citations). Hiroshi Ikeda has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Jürgen Sandkühler, Kazuyuki Murase, Ruth Ruscheweyh, Bernhard Heinke, Norio Miura, Kenneth C. Anderson, Teru Hideshima, Shingo Inaguma, Kenji Kasai and Noopur Raje. Their work appears in journals such as Blood, International Journal of Radiation Oncology*Biology*Physics, Osteoarthritis and Cartilage, Ophthalmic Plastic and Reconstructive Surgery and Dental Materials Journal.

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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