Eishu Hai
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 10%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Sarcoma Diagnosis and Treatment 1
- Co-authors
- Makiko Ueda (7 shared papers)Masahiko Ohsawa (6 shared papers)Yoshihiro Ikura (6 shared papers)Takahiko Naruko (6 shared papers)Soichiro Kayo (4 shared papers)Noriko Yoshimi (4 shared papers)Shoichi Ehara (5 shared papers)Nobuyuki Shirai (4 shared papers)
- Journals
- International Journal of Molecular Medicine (2 papers)Journal of Atherosclerosis and Thrombosis (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Acta Neuropathologica (1 paper)American Heart Journal (1 paper)
- Partner nations
- JapanNetherlands
In The Last Decade
Eishu Hai
13 papers receiving 472 citations
Peers
Comparison fields: 5 of 66
- Aging 50
- Physiology 171
- Cancer Research 97
- Biochemistry 18
- Immunology 61
Countries citing papers authored by Eishu Hai
This map shows the geographic impact of Eishu Hai'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 Eishu Hai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eishu Hai more than expected).
Fields of papers citing papers by Eishu Hai
This network shows the impact of papers produced by Eishu Hai. 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 Eishu Hai. The network helps show where Eishu Hai may publish in the future.
Co-authors
The 25 scholars most cited alongside Eishu Hai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 207 | |
| 2 | 2008 | 147 | |
| 3 | 2008 | 39 | |
| 4 | 2004 | 34 | |
| 5 | Clinical role of ABCF2 expression in breast cancer. | 2006 | 16 |
| 6 | 2008 | 13 | |
| 7 | 2004 | 9 | |
| 8 | 2003 | 9 | |
| 9 | Coronary Intimal Lesions in Patients with Kawasaki Disease Can Become Atherosclerotic Plaques Which May Cause Plaque Instability | 2003 | 4 |
| 10 | [Primary effusion lymphoma complicating cardiac tamponade: a case report]. | 2007 | 2 |
| 11 | 2004 | 2 | |
| 12 | 2002 | 1 | |
| 13 | 2002 | 1 |
About Eishu Hai
Eishu Hai is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Physiology and Immunology, having authored 13 papers that have together received 484 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Telomeres, Telomerase, and Senescence (1 paper) and Superconducting Materials and Applications (1 paper). The work is most often cited by research in Aging (50 citations), Physiology (171 citations), Cancer Research (97 citations), Biochemistry (18 citations) and Immunology (61 citations). Eishu Hai has collaborated with scholars based in Japan and Netherlands. Frequent co-authors include Makiko Ueda, Masahiko Ohsawa, Yoshihiro Ikura, Takahiko Naruko, Soichiro Kayo, Noriko Yoshimi, Shoichi Ehara, Nobuyuki Shirai, Takeshi Inoue and Yoshinari Ogawa. Their work appears in journals such as International Journal of Molecular Medicine, Journal of Atherosclerosis and Thrombosis, Arteriosclerosis Thrombosis and Vascular Biology, Acta Neuropathologica and American Heart 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.