Yasuhiro Hida

7.2k citations
167 papers · 5.8k · h-index 43

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
    • MicroRNA in disease regulation
  • Oncology top 1%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

Yasuhiro Hida

159 papers receiving 5.7k citations

Peers

Yasuhiro Hida
Comparison fields: 5 of 129
  • Cancer Research 1.6k
  • Oncology 1.5k
  • Molecular Biology 2.9k
  • Immunology 830
  • Cell Biology 647
Replace Daniel J. Lindner with:
Daniel J. Lindner United States
Bruce A. Keyt United States
Catherine Butterfield United States
Donald L. Durden United States
József Tı́már Hungary
Roberto Ronca Italy
Satoshi Fujii Japan
Athan Kuliopulos United States
Sachiko Yamaguchi Japan
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Citations per field
00.5×3.4×
Daniel J. Lindner · 1×
Citations per year

Countries citing papers authored by Yasuhiro Hida

Since Specialization
Citations

This map shows the geographic impact of Yasuhiro Hida'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 Yasuhiro Hida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuhiro Hida more than expected).

Fields of papers citing papers by Yasuhiro Hida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yasuhiro Hida. 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 Yasuhiro Hida. The network helps show where Yasuhiro Hida may publish in the future.

Co-authors

The 25 scholars most cited alongside Yasuhiro Hida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yasuhiro Hida Line = papers co-authored together Yasuhiro Hida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004386
2 2004241
3
CD4+ and CD8+ T cells cooperate to improve prognosis of patients with esophageal squamous cell carcinoma.
2003221
4 2002217
5 2018216
6 2009159
7 2016152
8 2012144
9 2012135
10 2003133
11 2016129
12 2010118
13 2016114
14 2008107
15 2011100
16 201598
17 200395
18 201395
19 201290
20 201388

About Yasuhiro Hida

Yasuhiro Hida is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Surgery, having authored 167 papers that have together received 5.8k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (37 papers), Cancer, Hypoxia, and Metabolism (31 papers), Lung Cancer Diagnosis and Treatment (14 papers), Cancer Cells and Metastasis (9 papers), Cancer, Lipids, and Metabolism (9 papers), Cell Adhesion Molecules Research (7 papers), Cancer Genomics and Diagnostics (6 papers) and Cancer Immunotherapy and Biomarkers (6 papers). The work is most often cited by research in Cancer Research (1.6k citations), Oncology (1.5k citations), Molecular Biology (2.9k citations), Immunology (830 citations) and Cell Biology (647 citations). Yasuhiro Hida has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kyoko Hida, Nako Maishi, Masanobu Shindoh, Noritaka Ohga, Kosuke Akiyama, Kyoko Hida, Michael Klagsbrun, Dorcas A. Annan, Kichizo Kaga and Hiroyuki Katoh. Their work appears in journals such as Cancer Science, British Journal of Cancer, Cancer Research, Pathology International and The Journal of Biochemistry.

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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