Yukihiro Nishio
- Immunology top 1%
- Immune Response and Inflammation 6
- Reproductive System and Pregnancy 4
- Cancer Research top 1%
- NF-κB Signaling Pathways 9
- Oncology top 1%
- Cytokine Signaling Pathways and Interactions 10
- Reproductive Medicine top 2%
- Ovarian cancer diagnosis and treatment 7
- Molecular Biology top 2%
- PI3K/AKT/mTOR signaling in cancer 4
-
- Estrogen and related hormone effects 13
-
- Catalytic Cross-Coupling Reactions 4
- Co-authors
- Shizuo AkiraHiroshi IsshikiTaiji MatsusakaTakahisa SugitaYuji MurataT HiranoOsamu TanabeT Kishimoto
- Cited by
- ImmunologyCancer ResearchOncology
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (7 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Yukihiro Nishio
59 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Immunology 1.9k
- Cancer Research 1.2k
- Oncology 1.9k
- Reproductive Medicine 355
- Molecular Biology 2.7k
Countries citing papers authored by Yukihiro Nishio
This map shows the geographic impact of Yukihiro Nishio'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 Yukihiro Nishio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukihiro Nishio more than expected).
Fields of papers citing papers by Yukihiro Nishio
This network shows the impact of papers produced by Yukihiro Nishio. 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 Yukihiro Nishio. The network helps show where Yukihiro Nishio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yukihiro Nishio, 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 | 2021 | 5 | |
| 2 | 2018 | 6 | |
| 3 | 2015 | 6 | |
| 4 | 2011 | 17 | |
| 5 | 2009 | 11 | |
| 6 | 2006 | 16 | |
| 7 | 2004 | 185 | |
| 8 | 2004 | 118 | |
| 9 | 2002 | 41 | |
| 10 | 2001 | 15 | |
| 11 | 2001 | 1 | |
| 12 | 2001 | 326 | |
| 13 | 2001 | 64 | |
| 14 | 1998 | 22 | |
| 15 | 1998 | 67 | |
| 16 | 1998 | 6 | |
| 17 | 1998 | 105 | |
| 18 | 1996 | 51 | |
| 19 | 1996 | 13 | |
| 20 | Molecular cloning of APRF, a novel IFN-stimulated gene factor 3 p91-related transcription factor involved in the gp130-mediated signaling pathwaybreakdown → | 1994 | 868 |
About Yukihiro Nishio
Yukihiro Nishio is a scholar working on Reproductive Medicine, Cancer Research and Oncology, having authored 60 papers that have together received 6.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (13 papers), Cytokine Signaling Pathways and Interactions (10 papers), NF-κB Signaling Pathways (9 papers), Ovarian cancer diagnosis and treatment (7 papers), Immune Response and Inflammation (6 papers), Catalytic Cross-Coupling Reactions (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Reproductive System and Pregnancy (4 papers). The work is most often cited by research in Immunology (1.9k citations), Cancer Research (1.2k citations) and Oncology (1.9k citations). Yukihiro Nishio has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Shizuo Akira, Hiroshi Isshiki, Taiji Matsusaka, Takahisa Sugita, Yuji Murata, T Hirano, Shizuo Akira, Osamu Tanabe, T Kishimoto and Shigeharu Kinoshita. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.