Hideki Terai

2.3k citations
41 papers · 778 · h-index 15

Impact in

Papers in

Hideki Terai

36 papers receiving 772 citations

Peers

Hideki Terai
Comparison fields: 5 of 75
  • Cancer Research 199
  • Pulmonary and Respiratory Medicine 358
  • Oncology 297
  • Molecular Biology 480
  • Immunology and Allergy 29
Replace Andreas Varkaris with:
Andreas Varkaris United States
Christine To Canada
Raul Ayala United States
Mercedes Marín‐Aguilera Spain
R. Molife United Kingdom
Shin-ichi Aishima Japan
Nerissa Mendoza United States
Fu-Min Fang Taiwan
Katherine R. Singleton United States
Lorenza Pistola Italy
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Citations per field
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Andreas Varkaris · 1×
Citations per year

Countries citing papers authored by Hideki Terai

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Terai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hideki Terai, 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 Hideki Terai Line = papers co-authored together Hideki Terai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013174
2 201756
3 201354
4 201543
5 201341
6 201840
7 202039
8 201139
9 201438
10
FOXD1 expression is associated with poor prognosis in non-small cell lung cancer.
201535
11 201526
12 201524
13 201024
14 201017
15 201417
16 202013
17 201412
18 202312
19 202111
20 202110

About Hideki Terai

Hideki Terai is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Cancer Research and Immunology, having authored 41 papers that have together received 778 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (21 papers), Lung Cancer Research Studies (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Colorectal Cancer Treatments and Studies (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer Genomics and Diagnostics (4 papers), Epigenetics and DNA Methylation (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Cancer Research (199 citations), Pulmonary and Respiratory Medicine (358 citations), Oncology (297 citations), Molecular Biology (480 citations) and Immunology and Allergy (29 citations). Hideki Terai has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kenzo Soejima, Shinnosuke Ikemura, Katsuhiko Naoki, Takashi Sato, Satoshi Yoda, Sohei Nakayama, Tomoko Betsuyaku, Ryosuke Satomi, Hiroyuki Yasuda and Junko Hamamoto. Their work appears in journals such as Molecular Cancer Research, Lung Cancer, Cancer Research, Molecular Cancer Therapeutics and Cancer Chemotherapy and 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.

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