Hideya Onishi

3.2k total citations
113 papers, 2.6k citations indexed

About

Hideya Onishi is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Hideya Onishi has authored 113 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Oncology, 50 papers in Molecular Biology and 41 papers in Immunology. Recurrent topics in Hideya Onishi's work include Immunotherapy and Immune Responses (28 papers), Hedgehog Signaling Pathway Studies (27 papers) and Epigenetics and DNA Methylation (21 papers). Hideya Onishi is often cited by papers focused on Immunotherapy and Immune Responses (28 papers), Hedgehog Signaling Pathway Studies (27 papers) and Epigenetics and DNA Methylation (21 papers). Hideya Onishi collaborates with scholars based in Japan, United States and Russia. Hideya Onishi's co-authors include Mitsuo Katano, Takashi Morisaki, Masao Tanaka, Akio Yamasaki, Makoto Kubo, Haruo Tanaka, Masafumi Nakamura, Junji Wada, Masayo Umebayashi and Kenji Nakano and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Hideya Onishi

112 papers receiving 2.6k citations

Peers

Hideya Onishi
Comparison fields: 5 of 102
  • Molecular Biology 1.3k
  • Oncology 1.3k
  • Immunology 829
  • Cancer Research 516
  • Surgery 295
Replace Daniel R. Principe with:
Daniel R. Principe United States
Els M.E. Verdegaal Netherlands
Quan Liao China
Joseph Kwong Hong Kong
Udit Verma United States
Shui Ping Tu China
Yasuto Akiyama Japan
Yuliya Pylayeva‐Gupta United States
Yong Lu United States
Giovanni Germano Italy
Daniel R. Principe United States View profile →
Citations per field, relative to Hideya Onishi
Hideya Onishi · 1×
Citations per year, relative to Hideya Onishi
Hideya Onishi · 1×

Countries citing papers authored by Hideya Onishi

Since Specialization
Citations

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

Fields of papers citing papers by Hideya Onishi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideya Onishi

This figure shows the co-authorship network connecting the top 25 collaborators of Hideya Onishi. A scholar is included among the top collaborators of Hideya Onishi 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 Hideya Onishi. Hideya Onishi 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
# Work Indexed citations
1 5
2 1
3 5
4 9
5 0
6 11
7 4
8 11
9 10
10 30
11 1
12 12
13 3
14 26
15
A new method for rapid cytotoxic T-lymphocyte induction using a multiple cytokine cocktail.
4
16 39
17 81
18
Evaluation of a dysfunctional and short-lived subset of monocyte-derived dendritic cells from cancer patients.
4
19
Combination of adoptive immunotherapy with Herceptin for patients with HER2-expressing breast cancer.
25
20
[Immunohistochemical study of PCNA, EGFR, c-erbB-2 and p53 in carcinomas of large intestine].
2

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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