Koichi Hattori
- Hematology top 1%
- Molecular Biology top 10%
- Oncology top 5%
- Genetics top 2%
- Immunology top 5%
- Co-authors
- Beate HeissigShahin RafiiSérgio DiasZena WerbNeil R. HackettRonald G. CrystalMatthias FriedrichDavid Lyden
- Topics
- Platelet Disorders and Treatments (8 papers)Multiple Myeloma Research and Treatments (8 papers)Protease and Inhibitor Mechanisms (6 papers)
- Cited by
- HematologyGeneticsCancer Research
- Partner nations
- JapanUnited StatesPalestinian Territory
In The Last Decade
Koichi Hattori
17 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Hematology 1.0k
- Molecular Biology 1.0k
- Oncology 626
- Genetics 541
- Immunology 534
Countries citing papers authored by Koichi Hattori
This map shows the geographic impact of Koichi Hattori'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 Koichi Hattori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Hattori more than expected).
Fields of papers citing papers by Koichi Hattori
This network shows the impact of papers produced by Koichi Hattori. 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 Koichi Hattori. The network helps show where Koichi Hattori may publish in the future.
Co-authorship network of co-authors of Koichi Hattori
This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Hattori. A scholar is included among the top collaborators of Koichi Hattori 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 Koichi Hattori. Koichi Hattori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 19 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 44 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 61 | |
| 9 | Chemokine-mediated interaction of hematopoietic progenitors with the bone marrow vascular niche is required for thrombopoiesisbreakdown → | 582 |
| 10 | 155 | |
| 11 | Recruitment of Stem and Progenitor Cells from the Bone Marrow Niche Requires MMP-9 Mediated Release of Kit-Ligandbreakdown → | 1367 |
| 12 | 15 | |
| 13 | 29 | |
| 14 | 7 | |
| 15 | 6 | |
| 16 | 129 | |
| 17 | 2 | |
| 18 | 11 | |
| 19 | 11 |
About Koichi Hattori
Koichi Hattori is a scholar working on Hematology, Cancer Research and Genetics, having authored 19 papers that have together received 2.4k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (8 papers), Multiple Myeloma Research and Treatments (8 papers) and Protease and Inhibitor Mechanisms (6 papers). The work is most often cited by research in Hematology (1.0k citations), Genetics (541 citations) and Cancer Research (503 citations). Koichi Hattori has collaborated with scholars based in Japan, United States and Palestinian Territory. Frequent co-authors include Beate Heissig, Shahin Rafii, Sérgio Dias, Zena Werb, Neil R. Hackett, Ronald G. Crystal, Matthias Friedrich, David Lyden, Malcolm A.S. Moore and Barbara Ferris. Their work appears in journals such as Cell, Nature Medicine and The Journal of Experimental Medicine.
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.