Hisashi Harada
- Immunology top 1%
- Oncology top 2%
- Molecular Biology top 10%
- Cancer Research top 5%
- Epidemiology top 10%
- Co-authors
- Takashi FujitaTadatsugu TaniguchiMasaaki MiyamotoYoko KimuraMitsuo MaruyamaTakashi MiyataAdriana FuriaJun Sakakibara
- Topics
- Metal Alloys Wear and Properties (6 papers)Infrared Target Detection Methodologies (3 papers)interferon and immune responses (3 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Hisashi Harada
21 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Immunology 1.6k
- Oncology 1.1k
- Molecular Biology 884
- Cancer Research 474
- Epidemiology 283
Countries citing papers authored by Hisashi Harada
This map shows the geographic impact of Hisashi Harada'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 Hisashi Harada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hisashi Harada more than expected).
Fields of papers citing papers by Hisashi Harada
This network shows the impact of papers produced by Hisashi Harada. 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 Hisashi Harada. The network helps show where Hisashi Harada may publish in the future.
Co-authorship network of co-authors of Hisashi Harada
This figure shows the co-authorship network connecting the top 25 collaborators of Hisashi Harada. A scholar is included among the top collaborators of Hisashi Harada 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 Hisashi Harada. Hisashi Harada 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 | 2 | |
| 3 | 4 | |
| 4 | 45 | |
| 5 | 83 | |
| 6 | 4 | |
| 7 | 88 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 13 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 103 | |
| 14 | 5 | |
| 15 | 12 | |
| 16 | The oncogenic transcription factor IRF-2 possesses a transcriptional repression and a latent activation domain. | 83 |
| 17 | Conceptual study on a forthcoming super high resolution visible and near infrared radiometer | 0 |
| 18 | 349 | |
| 19 | Structurally similar but functionally distinct factors, IRF-1 and IRF-2, bind to the same regulatory elements of IFN and IFN-inducible genesbreakdown → | 867 |
| 20 | Regulated expression of a gene encoding a nuclear factor, IRF-1, that specifically binds to IFN-β gene regulatory elementsbreakdown → | 891 |
About Hisashi Harada
Hisashi Harada is a scholar working on General Materials Science, Ecological Modeling and Mechanics of Materials, having authored 23 papers that have together received 2.6k indexed citations. Recurring topics across this work include Metal Alloys Wear and Properties (6 papers), Infrared Target Detection Methodologies (3 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Immunology (1.6k citations), Oncology (1.1k citations) and Cancer Research (474 citations). Hisashi Harada has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Takashi Fujita, Tadatsugu Taniguchi, Masaaki Miyamoto, Yoko Kimura, Mitsuo Maruyama, Takashi Miyata, Adriana Furia, Jun Sakakibara, Keith R. Willison and Mark Hicks. Their work appears in journals such as Cell, PLANT PHYSIOLOGY and Molecular Pharmacology.
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.