Hideho Wada
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
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- Lymphoma Diagnosis and Treatment
Papers in
- Hematology 38
- Multiple Myeloma Research and Treatments 16
- Acute Myeloid Leukemia Research 6
- Hematopoietic Stem Cell Transplantation 6
- Blood groups and transfusion 4
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- Lymphoma Diagnosis and Treatment 13
- Co-authors
- Takashi Sugihara (54 shared papers)Yoshihito Yawata (25 shared papers)Takemi Otsuki (17 shared papers)Osamu Yamada (15 shared papers)Yoshito Sadahira (18 shared papers)Haruko Sakaguchi (8 shared papers)Masayoshi Namba (2 shared papers)Masaharu Mori (2 shared papers)
In The Last Decade
Hideho Wada
90 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Hematology 372
- Pathology and Forensic Medicine 215
- Oncology 140
- Genetics 49
- Physiology 139
Countries citing papers authored by Hideho Wada
This map shows the geographic impact of Hideho Wada'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 Hideho Wada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideho Wada more than expected).
Fields of papers citing papers by Hideho Wada
This network shows the impact of papers produced by Hideho Wada. 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 Hideho Wada. The network helps show where Hideho Wada may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideho Wada, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 129 | |
| 2 | 1989 | 75 | |
| 3 | 1989 | 63 | |
| 4 | 1998 | 46 | |
| 5 | 1998 | 45 | |
| 6 | TRAIL expression up-regulated by interferon-gamma via phosphorylation of STAT1 induces myeloma cell death. | 2007 | 32 |
| 7 | 2002 | 31 | |
| 8 | 2000 | 30 | |
| 9 | 2016 | 30 | |
| 10 | 1998 | 27 | |
| 11 | 1997 | 23 | |
| 12 | 2004 | 23 | |
| 13 | 1998 | 19 | |
| 14 | 1999 | 19 | |
| 15 | The mechanisms of vitamin K2-induced apoptosis of myeloma cells. | 2006 | 19 |
| 16 | 2013 | 19 | |
| 17 | 1995 | 18 | |
| 18 | 1999 | 18 | |
| 19 | 2004 | 18 | |
| 20 | 2019 | 18 |
About Hideho Wada
Hideho Wada is a scholar working on Hematology, Pathology and Forensic Medicine, Genetics, Physiology and Oncology, having authored 102 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (16 papers), Lymphoma Diagnosis and Treatment (13 papers), Erythrocyte Function and Pathophysiology (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Acute Myeloid Leukemia Research (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Viral-associated cancers and disorders (6 papers) and Blood groups and transfusion (4 papers). The work is most often cited by research in Hematology (372 citations), Pathology and Forensic Medicine (215 citations), Oncology (140 citations), Genetics (49 citations) and Physiology (139 citations). Hideho Wada has collaborated with scholars based in Japan, Germany and France. Frequent co-authors include Takashi Sugihara, Yoshihito Yawata, Takemi Otsuki, Osamu Yamada, Yoshito Sadahira, Haruko Sakaguchi, Masayoshi Namba, Masaharu Mori, Akio Kanzaki and Ayumi Yawata. Their work appears in journals such as International Journal of Hematology, British Journal of Haematology, Pathology International, Leukemia Research and Annals of 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.