Nobuhiro Torata

531 citations
27 papers · 355 · h-index 12

Impact in

    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis

Papers in

    • Pancreatic and Hepatic Oncology Research 4
    • Cancer Immunotherapy and Biomarkers 3
    • Immune cells in cancer 3

Nobuhiro Torata

25 papers receiving 354 citations

Peers

Nobuhiro Torata
Comparison fields: 5 of 55
  • Oncology 129
  • Cancer Research 42
  • Immunology 47
  • Gastroenterology 11
  • Periodontics 8
Replace Touraj Taheri with:
Touraj Taheri Australia
Huiyun Cai China
E. Goode United Kingdom
Xiaodun Li United Kingdom
Simona Pigozzi Italy
Danielle MacNeil Canada
Atsuko Umezawa Japan
Shengming Xu China
Chengyan Zhang China
Agnes Ling Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Nobuhiro Torata

Since Specialization
Citations

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

Fields of papers citing papers by Nobuhiro Torata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200654
2 202344
3 202330
4 202428
5 201525
6 201922
7 201621
8
Ki-ras codon 12 point mutation and p53 mutation in pancreatic diseases.
199920
9 202314
10 201813
11 200013
12 201212
13 200411
14 20148
15 20246
16 20256
17 20076
18 20135
19 20025
20
Telemedicine with digital video transport system over a worldwide academic network
20084

About Nobuhiro Torata

Nobuhiro Torata is a scholar working on Oncology, Immunology, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 355 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immune cells in cancer (3 papers), Pancreatitis Pathology and Treatment (2 papers), Gastric Cancer Management and Outcomes (2 papers), Cancer Genomics and Diagnostics (1 paper), Gene expression and cancer classification (1 paper) and Telemedicine and Telehealth Implementation (1 paper). The work is most often cited by research in Oncology (129 citations), Cancer Research (42 citations), Immunology (47 citations), Gastroenterology (11 citations) and Periodontics (8 citations). Nobuhiro Torata has collaborated with scholars based in Japan, China and Vietnam. Frequent co-authors include Masafumi Nakamura, Masao Tanaka, Kenoki Ohuchida, Yoshinao Oda, Hirokazu Noshirο, Kohei Nakata, Koji Shindo, Chika Iwamoto, Yusuke Mizuuchi and Koji Yamaguchi. Their work appears in journals such as Gastric Cancer, International Journal of Oncology, Cancer Science, Cancer and British Journal of Cancer.

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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