Keiko Hodohara
- Hematology top 5%
- Platelet Disorders and Treatments 6
- Hematopoietic Stem Cell Transplantation 5
- Acute Myeloid Leukemia Research 4
- Blood groups and transfusion 4
- Microbiology top 10%
- Immunology top 10%
- Immune Cell Function and Interaction 6
- Genetics top 10%
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- Viral-associated cancers and disorders 6
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- Lymphoma Diagnosis and Treatment 10
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- Fungal Infections and Studies 4
- Co-authors
- Yoshihide FujiyamaNaoki YamamotoKenneth KaushanskyNobutaka FujiiAkira AndohHidetoshi OkabeMitsuaki IshidaTakashi Yoshida
- Cited by
- HematologyMicrobiologyImmunology
- Journals
- Journal of Biological Chemistry (1 paper)Blood (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Keiko Hodohara
56 papers receiving 852 citations
Peers
Comparison fields: 5 of 84
- Hematology 223
- Microbiology 14
- Immunology 276
- Genetics 109
- Oncology 228
Countries citing papers authored by Keiko Hodohara
This map shows the geographic impact of Keiko Hodohara'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 Keiko Hodohara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Hodohara more than expected).
Fields of papers citing papers by Keiko Hodohara
This network shows the impact of papers produced by Keiko Hodohara. 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 Keiko Hodohara. The network helps show where Keiko Hodohara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keiko Hodohara, 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 | 2020 | 13 | |
| 2 | 2017 | 15 | |
| 3 | Occurrence of anaplastic large cell lymphoma following IgG4-related autoimmune pancreatitis and cholecystitis and diffuse large B-cell lymphoma. | 2013 | 25 |
| 4 | 2013 | 12 | |
| 5 | 2012 | 5 | |
| 6 | 2012 | 21 | |
| 7 | 2011 | 36 | |
| 8 | 2008 | 73 | |
| 9 | 2006 | 4 | |
| 10 | 2005 | 15 | |
| 11 | 2005 | 2 | |
| 12 | 2000 | 1 | |
| 13 | 2000 | 12 | |
| 14 | 1998 | 11 | |
| 15 | 1998 | 7 | |
| 16 | 1995 | 19 | |
| 17 | 1995 | 15 | |
| 18 | 1994 | 4 | |
| 19 | 1992 | 9 | |
| 20 | 1988 | 20 |
About Keiko Hodohara
Keiko Hodohara is a scholar working on Microbiology, Hematology and Pathology and Forensic Medicine, having authored 56 papers that have together received 871 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), Viral-associated cancers and disorders (6 papers), Platelet Disorders and Treatments (6 papers), Immune Cell Function and Interaction (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (4 papers), Fungal Infections and Studies (4 papers) and Blood groups and transfusion (4 papers). The work is most often cited by research in Hematology (223 citations), Microbiology (14 citations) and Immunology (276 citations). Keiko Hodohara has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yoshihide Fujiyama, Naoki Yamamoto, Kenneth Kaushansky, Nobutaka Fujii, Akira Andoh, Hidetoshi Okabe, Mitsuaki Ishida, Takashi Yoshida, Hiroko Okuno and Muneo Iwai. Their work appears in journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.
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.