Shuji Tohda
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Microbiology top 10%
Papers in
- Hematology 49
- Acute Myeloid Leukemia Research 28
- Hematopoietic Stem Cell Transplantation 14
- Chronic Myeloid Leukemia Treatments 12
-
- Developmental Biology and Gene Regulation 8
- Retinoids in leukemia and cellular processes 6
- Co-authors
- Nobuo Nara (59 shared papers)Mai Itoh (30 shared papers)I Murohashi (14 shared papers)Seiji Sakano (7 shared papers)Toshiya Suzuki (15 shared papers)Kaoru Nagata (17 shared papers)Naomi Murakami (10 shared papers)N Aoki (3 shared papers)
In The Last Decade
Shuji Tohda
150 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 121
- Hematology 467
- Microbiology 12
- Genetics 159
- Immunology 305
- Molecular Biology 836
Countries citing papers authored by Shuji Tohda
This map shows the geographic impact of Shuji Tohda'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 Shuji Tohda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuji Tohda more than expected).
Fields of papers citing papers by Shuji Tohda
This network shows the impact of papers produced by Shuji Tohda. 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 Shuji Tohda. The network helps show where Shuji Tohda may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuji Tohda, 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 157 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 88 | |
| 2 | 2008 | 88 | |
| 3 | 2011 | 82 | |
| 4 | Cyclopamine and quercetin suppress the growth of leukemia and lymphoma cells. | 2009 | 80 |
| 5 | 1994 | 80 | |
| 6 | 1989 | 60 | |
| 7 | 2016 | 52 | |
| 8 | 2005 | 44 | |
| 9 | Effects of the HIF1 inhibitor, echinomycin, on growth and NOTCH signalling in leukaemia cells. | 2013 | 38 |
| 10 | 2006 | 37 | |
| 11 | Promotion of the self-renewal capacity of human acute leukemia cells by Wnt3A. | 2008 | 34 |
| 12 | Effects of combination of notch inhibitor plus hedgehog inhibitor or Wnt inhibitor on growth of leukemia cells. | 2011 | 31 |
| 13 | 2007 | 30 | |
| 14 | 2009 | 28 | |
| 15 | 2003 | 26 | |
| 16 | 2011 | 24 | |
| 17 | 1990 | 24 | |
| 18 | 2014 | 24 | |
| 19 | 2008 | 22 | |
| 20 | 1993 | 22 |
About Shuji Tohda
Shuji Tohda is a scholar working on Hematology, Molecular Biology, Immunology, Infectious Diseases and Genetics, having authored 157 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (28 papers), Hematopoietic Stem Cell Transplantation (14 papers), Chronic Myeloid Leukemia Treatments (12 papers), Chronic Lymphocytic Leukemia Research (12 papers), Acute Lymphoblastic Leukemia research (9 papers), Developmental Biology and Gene Regulation (8 papers), Lymphoma Diagnosis and Treatment (7 papers) and Retinoids in leukemia and cellular processes (6 papers). The work is most often cited by research in Hematology (467 citations), Microbiology (12 citations), Genetics (159 citations), Immunology (305 citations) and Molecular Biology (836 citations). Shuji Tohda has collaborated with scholars based in Japan, Canada and France. Frequent co-authors include Nobuo Nara, Mai Itoh, I Murohashi, Seiji Sakano, Toshiya Suzuki, Kaoru Nagata, Naomi Murakami, N Aoki, Tomoyuki Koyama and S Hirosawa. Their work appears in journals such as Anticancer Research, Blood, Acta Haematologica, Journal of Medical Virology and Leukemia Research.
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.