N Tatsumi
- Co-authors
- Koji InuiHiroko TsukamotoShintaro OkadaNorio SakaiItaru YanagiharaHisao FukushimaToshinori NishigakiKeiichi Ozono
- Topics
- Hematological disorders and diagnostics (5 papers)Lysosomal Storage Disorders Research (4 papers)Viral-associated cancers and disorders (4 papers)
- Cited by
- PhysiologyCell BiologyNeurology
In The Last Decade
N Tatsumi
25 papers receiving 321 citations
Peers
Comparison fields: 5 of 55
- Physiology 206
- Molecular Biology 135
- Cell Biology 75
- Epidemiology 69
- Oncology 43
Countries citing papers authored by N Tatsumi
This map shows the geographic impact of N Tatsumi'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 N Tatsumi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N Tatsumi more than expected).
Fields of papers citing papers by N Tatsumi
This network shows the impact of papers produced by N Tatsumi. 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 N Tatsumi. The network helps show where N Tatsumi may publish in the future.
Co-authorship network of co-authors of N Tatsumi
This figure shows the co-authorship network connecting the top 25 collaborators of N Tatsumi. A scholar is included among the top collaborators of N Tatsumi 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 N Tatsumi. N Tatsumi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 15 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | A novel cell surface antigen 4C8 for myeloid differentiation marker. | 6 |
| 11 | 1 | |
| 12 | 15 | |
| 13 | 166 | |
| 14 | 28 | |
| 15 | [Allogenic bone marrow transplantation]. | 5 |
| 16 | Comparison of two monoclonal antibodies, H6B11 and GS2C4, against human plasma gelsolin. | 1 |
| 17 | Evaluation of proliferating cells in acute leukemia with antibodies to proliferating cell nuclear antigen and Ki-67 monoclonal antibodies. | 3 |
| 18 | Reassessment for reference values for total nucleated cell count and myeloid/erythroid ratio of human bone marrow aspirate. | 2 |
| 19 | [Cyclosporin therapy for idiopathic thrombocytopenic purpura]. | 1 |
| 20 | [Evaluation of the lymphocyte percentage measured by automated blood cell counters]. | 1 |
About N Tatsumi
N Tatsumi is a scholar working on Hematology, Emergency Medicine and Immunology and Allergy, having authored 27 papers that have together received 328 indexed citations. Recurring topics across this work include Hematological disorders and diagnostics (5 papers), Lysosomal Storage Disorders Research (4 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Physiology (206 citations), Cell Biology (75 citations) and Neurology (30 citations). N Tatsumi has collaborated with scholars based in Japan and Australia. Frequent co-authors include Koji Inui, Hiroko Tsukamoto, Shintaro Okada, Norio Sakai, Itaru Yanagihara, Hisao Fukushima, Toshinori Nishigaki, Keiichi Ozono, Junji Nishimoto and Masako Taniike. Their work appears in journals such as Blood, Scientific Reports and Journal of Neurochemistry.
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.