Hidehiko Fujii
- Immunology top 10%
- Biological Psychiatry top 1%
- Molecular Biology
- Epidemiology top 10%
- Behavioral Neuroscience top 2%
- Co-authors
- Hisayasu WadaMitsuru SeishimaKuniaki SaitoKenji SekikawaSuwako FujigakiAkio NomaMasao TakemuraHirotoshi Ohta
- Topics
- Tryptophan and brain disorders (7 papers)Stress Responses and Cortisol (6 papers)Asthma and respiratory diseases (4 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Hidehiko Fujii
38 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 113
- Immunology 394
- Biological Psychiatry 384
- Molecular Biology 307
- Epidemiology 280
- Behavioral Neuroscience 225
Countries citing papers authored by Hidehiko Fujii
This map shows the geographic impact of Hidehiko Fujii'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 Hidehiko Fujii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidehiko Fujii more than expected).
Fields of papers citing papers by Hidehiko Fujii
This network shows the impact of papers produced by Hidehiko Fujii. 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 Hidehiko Fujii. The network helps show where Hidehiko Fujii may publish in the future.
Co-authorship network of co-authors of Hidehiko Fujii
This figure shows the co-authorship network connecting the top 25 collaborators of Hidehiko Fujii. A scholar is included among the top collaborators of Hidehiko Fujii 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 Hidehiko Fujii. Hidehiko Fujii 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 | 10 | |
| 3 | 56 | |
| 4 | 5 | |
| 5 | 34 | |
| 6 | 106 | |
| 7 | 81 | |
| 8 | 98 | |
| 9 | 25 | |
| 10 | 35 | |
| 11 | 3 | |
| 12 | 23 | |
| 13 | 67 | |
| 14 | DETECTION OF ESTROGEN RECEPTOR, CARBONIC ANHYDRASE II AND TARTRATE RESISTANT ACID PHOSPHASE mRNAS IN MONONUCLEAR OSTEOCLAST PRECURSOR CELLS (MOPC) OF NEONATAL RATS BY FLUORESCENCE IN-SITU HYBRIDISATION (FISH) | 1 |
| 15 | 12 | |
| 16 | 9 | |
| 17 | 97 | |
| 18 | 24 | |
| 19 | Effect of temperature on multiplication of bean golden mosaic virus. | 1 |
| 20 | Progestin binding in testes from chickens and rats. | 1 |
About Hidehiko Fujii
Hidehiko Fujii is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Immunology and Allergy, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (7 papers), Stress Responses and Cortisol (6 papers) and Asthma and respiratory diseases (4 papers). The work is most often cited by research in Biological Psychiatry (384 citations), Behavioral Neuroscience (225 citations) and Immunology and Allergy (129 citations). Hidehiko Fujii has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Hisayasu Wada, Mitsuru Seishima, Kuniaki Saito, Kenji Sekikawa, Suwako Fujigaki, Akio Noma, Masao Takemura, Kuniaki Saito, Hirotoshi Ohta and Tamikazu Niwa. Their work appears in journals such as Circulation, The Journal of Chemical Physics and The FASEB Journal.
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.