Nari Harakawa
- Molecular Biology top 10%
- Hematology top 1%
- Immunology top 10%
- Oncology
- Genetics top 10%
- Co-authors
- Daniel G. TenenLiming ZhouDong‐Er ZhangThomas PabstChristopher J. HetheringtonSebastien A. BurelBeatrice U. MuellerClaudia Schoch
- Topics
- Cell Adhesion Molecules Research (6 papers)Acute Myeloid Leukemia Research (5 papers)Immune Response and Inflammation (5 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Nari Harakawa
15 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 853
- Hematology 834
- Immunology 275
- Oncology 193
- Genetics 127
Countries citing papers authored by Nari Harakawa
This map shows the geographic impact of Nari Harakawa'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 Nari Harakawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nari Harakawa more than expected).
Fields of papers citing papers by Nari Harakawa
This network shows the impact of papers produced by Nari Harakawa. 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 Nari Harakawa. The network helps show where Nari Harakawa may publish in the future.
Co-authorship network of co-authors of Nari Harakawa
This figure shows the co-authorship network connecting the top 25 collaborators of Nari Harakawa. A scholar is included among the top collaborators of Nari Harakawa 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 Nari Harakawa. Nari Harakawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 38 | |
| 3 | 34 | |
| 4 | 375 | |
| 5 | 324 | |
| 6 | 118 | |
| 7 | 198 | |
| 8 | 32 | |
| 9 | 60 | |
| 10 | Down-regulation of CXCR2 expression on human polymorphonuclear leukocytes by TNF-alpha. | 67 |
| 11 | 22 | |
| 12 | 40 | |
| 13 | Pharmacokinetics of human activated protein C. 1st communication: plasma concentration and excretion of a lyophilized purified human activated protein C after intravenous administration in the mouse and the rabbit. | 1 |
| 14 | Mechanism of leukemic cell lysis by activated human macrophages: leukemic cells can be lysed without direct contact. | 2 |
| 15 | 6 |
About Nari Harakawa
Nari Harakawa is a scholar working on Immunology and Allergy, Hematology and Biological Psychiatry, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (6 papers), Acute Myeloid Leukemia Research (5 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Hematology (834 citations), Immunology (275 citations) and Molecular Biology (853 citations). Nari Harakawa has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Daniel G. Tenen, Liming Zhou, Dong‐Er Zhang, Thomas Pabst, Christopher J. Hetherington, Sebastien A. Burel, Beatrice U. Mueller, Claudia Schoch, Torsten Haferlach and Gerhard Behre. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Blood.
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.