Yukihiro Nishio

7.3k citations
60 papers · 6.3k indexed · 3 hit papers · h-index 30
Topics
Estrogen and related hormone effects (13 papers)Cytokine Signaling Pathways and Interactions (10 papers)NF-κB Signaling Pathways (9 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Yukihiro Nishio

59 papers receiving 6.2k citations

Hit Papers

A nuclear factor for IL-6 expression (NF-IL6) is a member...19902026200220141990199319944008001.2k

Peers

Yukihiro Nishio
Comparison fields: 5 of 120
  • Molecular Biology 2.7k
  • Immunology 1.9k
  • Oncology 1.9k
  • Cancer Research 1.2k
  • Genetics 826
Replace Wayne A. Phillips with:
Wayne A. Phillips Australia
Probir Chakravarty United Kingdom
Marc G. Denis France
Arun Dharmarajan Australia
Reinhard Kofler Austria
Patrick Auberger France
Agostino Tafuri Italy
Vincent Castronovo Belgium
Jeffrey R. Bender United States
Lorraine A. O’Reilly Australia
Yukihiro Nishio relative to Wayne A. Phillips Australia Wayne A. Phillips's profile →
Citations per field
00.5×1.5×1.9×
Wayne A. Phillips · 1×
Citations per year

Countries citing papers authored by Yukihiro Nishio

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Yukihiro Nishio

This figure shows the co-authorship network connecting the top 25 collaborators of Yukihiro Nishio. A scholar is included among the top collaborators of Yukihiro Nishio 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 Yukihiro Nishio. Yukihiro Nishio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 6
3 6
4 17
5 11
6 16
7 185
8 118
9 41
10 15
11 1
12 326
13 64
14 22
15 67
16 6
17 105
18 51
19 13
20
Molecular cloning of APRF, a novel IFN-stimulated gene factor 3 p91-related transcription factor involved in the gp130-mediated signaling pathwaybreakdown →
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) and NF-κB Signaling Pathways (9 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.

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