Hiroko Hisha
Impact in
- Genetics top 1%
- Mesenchymal stem cell research
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
Papers in
- Hematology 27
- Hematopoietic Stem Cell Transplantation 27
- Genetics 19
- Mesenchymal stem cell research 18
- Co-authors
- Susumu Ikehara (54 shared papers)Muneo Inaba (29 shared papers)Kikuya Sugiura (14 shared papers)Naoya Ichioka (5 shared papers)Hirokazu Iida (4 shared papers)Taketoshi Kushida (4 shared papers)Ryokei Ogawa (3 shared papers)Takashi Esumi (3 shared papers)
- Journals
- Stem Cells (22 papers)Scientific Reports (5 papers)Blood (4 papers)Haematologica (3 papers)Immunobiology (3 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Hiroko Hisha
65 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 97
- Genetics 709
- Hematology 703
- Immunology 577
- Hepatology 167
- Transplantation 47
Countries citing papers authored by Hiroko Hisha
This map shows the geographic impact of Hiroko Hisha'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 Hiroko Hisha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroko Hisha more than expected).
Fields of papers citing papers by Hiroko Hisha
This network shows the impact of papers produced by Hiroko Hisha. 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 Hiroko Hisha. The network helps show where Hiroko Hisha may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroko Hisha, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 220 | |
| 2 | 1990 | 183 | |
| 3 | 1994 | 167 | |
| 4 | 1995 | 84 | |
| 5 | 2014 | 75 | |
| 6 | 2013 | 73 | |
| 7 | 2005 | 71 | |
| 8 | 2002 | 71 | |
| 9 | 1997 | 69 | |
| 10 | 2000 | 68 | |
| 11 | Successful bone marrow transplantation by bone grafts in chimeric-resistant combination. | 1995 | 62 |
| 12 | 1997 | 57 | |
| 13 | 2005 | 47 | |
| 14 | 2000 | 40 | |
| 15 | 2001 | 39 | |
| 16 | 2001 | 39 | |
| 17 | 2007 | 37 | |
| 18 | 2001 | 36 | |
| 19 | 1995 | 34 | |
| 20 | 2002 | 33 |
About Hiroko Hisha
Hiroko Hisha is a scholar working on Hematology, Genetics, Molecular Biology, Surgery and Immunology, having authored 66 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (27 papers), Mesenchymal stem cell research (18 papers), T-cell and B-cell Immunology (11 papers), Cancer Cells and Metastasis (8 papers), Pancreatic function and diabetes (8 papers), Pluripotent Stem Cells Research (8 papers), Liver physiology and pathology (7 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Genetics (709 citations), Hematology (703 citations), Immunology (577 citations), Hepatology (167 citations) and Transplantation (47 citations). Hiroko Hisha has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Susumu Ikehara, Muneo Inaba, Kikuya Sugiura, Naoya Ichioka, Hirokazu Iida, Taketoshi Kushida, Ryokei Ogawa, Takashi Esumi, Ryoji Yasumizu and Zhe‐Xiong Lian. Their work appears in journals such as Stem Cells, Scientific Reports, Blood, Haematologica and Immunobiology.
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.