Hideki Terai

2.4k citations
41 papers · 792 · h-index 15

Impact in

Papers in

Hideki Terai

38 papers receiving 786 citations

Peers

Hideki Terai
Comparison fields: 5 of 73
  • Cancer Research 154
  • Pulmonary and Respiratory Medicine 312
  • Oncology 231
  • Molecular Biology 420
  • Immunology and Allergy 29
Replace Raul Ayala with:
Raul Ayala United States
Christine To Canada
Per-Olof Malmström Sweden
Prashanth Prithviraj Australia
Naritaka Tanaka Japan
Harald Hugenschmidt Norway
Monica Kong-Beltran United States
Andreas Varkaris United States
Shinnosuke Ikemura Japan
Oriol Arpí Spain
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Citations per field
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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 2013175
2 201757
3 201354
4 201546
5 201341
6 201840
7 201439
8 202039
9 201139
10
FOXD1 expression is associated with poor prognosis in non-small cell lung cancer.
201535
11 201526
12 201024
13 201524
14 201417
15 201017
16 201414
17 202013
18 202112
19 202312
20 202110

About Hideki Terai

Hideki Terai is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Immunology and Cancer Research, having authored 41 papers that have together received 792 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (15 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Fibroblast Growth Factor Research (3 papers), Lung Cancer Research Studies (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (154 citations), Pulmonary and Respiratory Medicine (312 citations), Oncology (231 citations), Molecular Biology (420 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, Sohei Nakayama, Satoshi Yoda, Tomoko Betsuyaku, Ryosuke Satomi, Hiroyuki Yasuda and Junko Hamamoto. Their work appears in journals such as Lung Cancer, Molecular Cancer Research, Cancer Chemotherapy and Pharmacology, Molecular Cancer Therapeutics and Cancer Research.

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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