Umihiko Sawada
- Oncology top 10%
- Pathology and Forensic Medicine top 10%
- Molecular Biology
- Epidemiology
- Genetics top 10%
- Co-authors
- Tetsuo YamazakiTakashi HorieShin AizawaYoshihiro HattaToshiyuki TakagiIchiro TsujinoJin TakeuchiFumio Kodama
- Topics
- Lymphoma Diagnosis and Treatment (22 papers)Chronic Lymphocytic Leukemia Research (12 papers)CNS Lymphoma Diagnosis and Treatment (9 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Umihiko Sawada
74 papers receiving 665 citations
Peers
Comparison fields: 5 of 73
- Oncology 258
- Pathology and Forensic Medicine 194
- Molecular Biology 132
- Epidemiology 132
- Genetics 112
Countries citing papers authored by Umihiko Sawada
This map shows the geographic impact of Umihiko Sawada'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 Umihiko Sawada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umihiko Sawada more than expected).
Fields of papers citing papers by Umihiko Sawada
This network shows the impact of papers produced by Umihiko Sawada. 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 Umihiko Sawada. The network helps show where Umihiko Sawada may publish in the future.
Co-authorship network of co-authors of Umihiko Sawada
This figure shows the co-authorship network connecting the top 25 collaborators of Umihiko Sawada. A scholar is included among the top collaborators of Umihiko Sawada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Umihiko Sawada. Umihiko Sawada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 14 | |
| 4 | 6 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 8 | |
| 9 | Requirement of soluble factors produced by bone marrow stromal cells on the growth of novel established human myeloma cell line. | 5 |
| 10 | 20 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | びまん性大細胞型B細胞リンパ腫(DLBCL)における血清可溶性インターロイキン2受容体(sIL-2R)レベル:重要な予後因子 | 2 |
| 15 | High levels of serum CD44 are correlated with poor prognosis in malignant lymphoma. | 1 |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 21 | |
| 19 | 3 | |
| 20 | Hemopoiesis on macrophage-coated cellulose acetate membranes (CAMS) in mice: an immunological study. | 2 |
About Umihiko Sawada
Umihiko Sawada is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine, having authored 77 papers that have together received 691 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (22 papers), Chronic Lymphocytic Leukemia Research (12 papers) and CNS Lymphoma Diagnosis and Treatment (9 papers). The work is most often cited by research in Hepatology (102 citations), Pathology and Forensic Medicine (194 citations) and Genetics (112 citations). Umihiko Sawada has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Tetsuo Yamazaki, Takashi Horie, Shin Aizawa, Yoshihiro Hatta, Toshiyuki Takagi, Ichiro Tsujino, Jin Takeuchi, Fumio Kodama, K Sawada and Kyoya Kumagai. Their work appears in journals such as Blood, Annals of Oncology and American Journal of Kidney Diseases.
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.