Kunihiro Hattori
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 1%
- Hematology top 1%
- Immunology top 5%
- Oncology top 5%
- Co-authors
- Tomoyuki IgawaHiroyuki TsunodaMasayoshi Oh‐edaKenta HarayaFuta MimotoTaichi KuramochiTakehisa KitazawaTatsuhiko Tachibana
- Topics
- Monoclonal and Polyclonal Antibodies Research (25 papers)Blood Coagulation and Thrombosis Mechanisms (19 papers)Glycosylation and Glycoproteins Research (18 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Kunihiro Hattori
74 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.1k
- Radiology, Nuclear Medicine and Imaging 1.0k
- Hematology 873
- Immunology 757
- Oncology 544
Countries citing papers authored by Kunihiro Hattori
This map shows the geographic impact of Kunihiro 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 Kunihiro Hattori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunihiro Hattori more than expected).
Fields of papers citing papers by Kunihiro Hattori
This network shows the impact of papers produced by Kunihiro 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 Kunihiro Hattori. The network helps show where Kunihiro Hattori may publish in the future.
Co-authorship network of co-authors of Kunihiro Hattori
This figure shows the co-authorship network connecting the top 25 collaborators of Kunihiro Hattori. A scholar is included among the top collaborators of Kunihiro 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 Kunihiro Hattori. Kunihiro 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 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 14 | |
| 6 | 53 | |
| 7 | 101 | |
| 8 | 22 | |
| 9 | 114 | |
| 10 | 59 | |
| 11 | 29 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 12 | |
| 15 | 74 | |
| 16 | 10 | |
| 17 | 110 | |
| 18 | 5 | |
| 19 | 97 | |
| 20 | Effects of recombinant human granulocyte colony stimulating factor (rG-CSF) on murine myeloid leukemia: stimulation of proliferation of leukemic cells in vitro and inhibition of development of leukemia in vivo. | 10 |
About Kunihiro Hattori
Kunihiro Hattori is a scholar working on Hematology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 75 papers that have together received 2.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (25 papers), Blood Coagulation and Thrombosis Mechanisms (19 papers) and Glycosylation and Glycoproteins Research (18 papers). The work is most often cited by research in Hematology (873 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations) and Immunology (757 citations). Kunihiro Hattori has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tomoyuki Igawa, Hiroyuki Tsunoda, Masayoshi Oh‐eda, Kenta Haraya, Futa Mimoto, Taichi Kuramochi, Takehisa Kitazawa, Tatsuhiko Tachibana, Tetsuhiro Soeda and Zenjiro Sampei. Their work appears in journals such as Nature, Journal of Biological Chemistry and Nature Communications.
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.