Chinami Hashimura
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- interferon and immune responses
- Immune Response and Inflammation
- Complement system in diseases
- Immune Cell Function and Interaction
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
Papers in
-
- Complement system in diseases 5
- Immune Cell Function and Interaction 2
- interferon and immune responses 1
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- RNA Interference and Gene Delivery 2
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Takahiko Horiuchi (8 shared papers)Hiroshi Tsukamoto (5 shared papers)Yasuhiro Kuroda (1 shared paper)Maki Urushihara (1 shared paper)Shoji Kagami (1 shared paper)Koji Yasutomo (1 shared paper)Kenshi Hayashi (4 shared papers)Shin‐ichi Harashima (3 shared papers)
In The Last Decade
Chinami Hashimura
10 papers receiving 666 citations
Peers
Comparison fields: 5 of 66
- Immunology 526
- Rheumatology 200
- Hematology 57
- Molecular Biology 229
- Immunology and Allergy 19
Countries citing papers authored by Chinami Hashimura
This map shows the geographic impact of Chinami Hashimura'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 Chinami Hashimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chinami Hashimura more than expected).
Fields of papers citing papers by Chinami Hashimura
This network shows the impact of papers produced by Chinami Hashimura. 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 Chinami Hashimura. The network helps show where Chinami Hashimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Chinami Hashimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 464 | |
| 2 | 2005 | 43 | |
| 3 | 2000 | 40 | |
| 4 | 2000 | 39 | |
| 5 | 1998 | 29 | |
| 6 | 2015 | 18 | |
| 7 | 2005 | 18 | |
| 8 | 2004 | 18 | |
| 9 | 1999 | 12 | |
| 10 | 2022 | 2 | |
| 11 | 2019 | 0 |
About Chinami Hashimura
Chinami Hashimura is a scholar working on Immunology, Molecular Biology, Hematology, Genetics and Nutrition and Dietetics, having authored 11 papers that have together received 683 indexed citations. Recurring topics across this work include Complement system in diseases (5 papers), Blood groups and transfusion (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), RNA Interference and Gene Delivery (2 papers), Vitamin K Research Studies (2 papers), Immune Cell Function and Interaction (2 papers), interferon and immune responses (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Immunology (526 citations), Rheumatology (200 citations), Hematology (57 citations), Molecular Biology (229 citations) and Immunology and Allergy (19 citations). Chinami Hashimura has collaborated with scholars based in Japan, Nigeria and Spain. Frequent co-authors include Takahiko Horiuchi, Hiroshi Tsukamoto, Yasuhiro Kuroda, Maki Urushihara, Shoji Kagami, Koji Yasutomo, Kenshi Hayashi, Shin‐ichi Harashima, Takuya Sawabe and Daisuke Himeji. Their work appears in journals such as Biochemical and Biophysical Research Communications, Genes and Immunity, Nature Genetics, The Journal of Immunology and International Journal of Molecular 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.