Hideki Hara
Impact in
- Immunology top 1%
- Immune Response and Inflammation
- interferon and immune responses
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- Biological Psychiatry top 5%
Papers in
- Immunology 34
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 9
- Co-authors
- Gabriel NúñezYuan HeK. TsuchiyaMasao MitsuyamaIkuo KawamuraMitsunori SakataniMasanori AkiraEduardo Hernández-Cuellar
- Journals
- Infection and Immunity (7 papers)Mechanisms of Ageing and Development (6 papers)The Journal of Immunology (4 papers)Cell Reports (2 papers)Radiology (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Hideki Hara
110 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Immunology 2.2k
- Biological Psychiatry 139
- Nephrology 371
- Molecular Biology 3.2k
- Neurology 235
Countries citing papers authored by Hideki Hara
This map shows the geographic impact of Hideki Hara'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 Hideki Hara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideki Hara more than expected).
Fields of papers citing papers by Hideki Hara
This network shows the impact of papers produced by Hideki Hara. 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 Hideki Hara. The network helps show where Hideki Hara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hideki Hara, 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 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 93 | |
| 5 | Active MLKL triggers the NLRP3 inflammasome in a cell-intrinsic manner Hit paper breakdown → | 2017 | 377 |
| 6 | 2013 | 45 | |
| 7 | 2011 | 30 | |
| 8 | Biometrics Authentication Based on Spectrum Features of Electroencephalogram (EEG) | 2007 | 1 |
| 9 | 1999 | 76 | |
| 10 | 1993 | 40 | |
| 11 | 1992 | 17 | |
| 12 | 1991 | 7 | |
| 13 | 1990 | 19 | |
| 14 | 1989 | 1 | |
| 15 | 1989 | 20 | |
| 16 | 1989 | 1 | |
| 17 | 1989 | 10 | |
| 18 | 1988 | 11 | |
| 19 | 1987 | 38 | |
| 20 | Heterotopic bone formation in the lung. | 1970 | 1 |
About Hideki Hara
Hideki Hara is a scholar working on Immunology, Biotechnology, Computer Networks and Communications, Toxicology and Nephrology, having authored 118 papers that have together received 5.5k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (15 papers), Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (9 papers), Mobile Agent-Based Network Management (8 papers), Medical Imaging and Pathology Studies (8 papers), Multi-Agent Systems and Negotiation (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers). The work is most often cited by research in Immunology (2.2k citations), Biological Psychiatry (139 citations), Nephrology (371 citations), Molecular Biology (3.2k citations) and Neurology (235 citations). Hideki Hara has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Gabriel Núñez, Yuan He, K. Tsuchiya, Masao Mitsuyama, Ikuo Kawamura, Mitsunori Sakatani, Masanori Akira, Eduardo Hernández-Cuellar, Rendong Fang and Yanna Shen. Their work appears in journals such as Infection and Immunity, Mechanisms of Ageing and Development, The Journal of Immunology, Cell Reports and Radiology.
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.