Hisami Ikeda
Impact in
- Hepatology top 0.5%
- Hepatitis Viruses Studies and Epidemiology
- Liver Disease and Transplantation
- Hematology top 1%
- Platelet Disorders and Treatments
- Blood groups and transfusion
Papers in
- Hematology 44
- Blood groups and transfusion 26
- Platelet Disorders and Treatments 15
- Hematopoietic Stem Cell Transplantation 9
- Immunology 41
- Co-authors
- Mitsuhiro Fujihara (49 shared papers)Robert H. Lipsky (5 shared papers)GA Jamieson (4 shared papers)NN Tandon (3 shared papers)DE Greenwalt (2 shared papers)CF Ockenhouse (2 shared papers)Lloyd J. Old (5 shared papers)Toshiaki Kato (30 shared papers)
- Journals
- Transfusion (22 papers)Vox Sanguinis (16 papers)Blood (9 papers)The Journal of Experimental Medicine (6 papers)Experimental Hematology (3 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Hisami Ikeda
158 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 123
- Hepatology 831
- Hematology 764
- Immunology 1.5k
- Biochemistry 333
- Immunology and Allergy 258
Countries citing papers authored by Hisami Ikeda
This map shows the geographic impact of Hisami 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 Hisami Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hisami Ikeda more than expected).
Fields of papers citing papers by Hisami Ikeda
This network shows the impact of papers produced by Hisami 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 Hisami Ikeda. The network helps show where Hisami Ikeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Hisami Ikeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 469 | |
| 2 | 1980 | 419 | |
| 3 | 1992 | 412 | |
| 4 | 1992 | 358 | |
| 5 | 2004 | 239 | |
| 6 | 2008 | 238 | |
| 7 | 1993 | 184 | |
| 8 | 2007 | 175 | |
| 9 | 1995 | 153 | |
| 10 | 1976 | 134 | |
| 11 | 1990 | 129 | |
| 12 | 2002 | 119 | |
| 13 | 1989 | 117 | |
| 14 | 1975 | 110 | |
| 15 | 1992 | 103 | |
| 16 | 1975 | 96 | |
| 17 | 2001 | 84 | |
| 18 | 2008 | 83 | |
| 19 | 1990 | 74 | |
| 20 | 1976 | 71 |
About Hisami Ikeda
Hisami Ikeda is a scholar working on Hematology, Immunology, Molecular Biology, Epidemiology and Physiology, having authored 170 papers that have together received 5.9k indexed citations. Recurring topics across this work include Blood groups and transfusion (26 papers), Blood transfusion and management (18 papers), Erythrocyte Function and Pathophysiology (17 papers), Hemoglobin structure and function (17 papers), Platelet Disorders and Treatments (15 papers), Hepatitis B Virus Studies (14 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Hematopoietic Stem Cell Transplantation (9 papers). The work is most often cited by research in Hepatology (831 citations), Hematology (764 citations), Immunology (1.5k citations), Biochemistry (333 citations) and Immunology and Allergy (258 citations). Hisami Ikeda has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Mitsuhiro Fujihara, Robert H. Lipsky, GA Jamieson, NN Tandon, DE Greenwalt, CF Ockenhouse, Lloyd J. Old, Toshiaki Kato, Shin Sato and Hiroshi Azuma. Their work appears in journals such as Transfusion, Vox Sanguinis, Blood, The Journal of Experimental Medicine and Experimental Hematology.
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.