Shinya Tane

716 citations
54 papers · 493 · h-index 14

Impact in

Papers in

    • Lung Cancer Diagnosis and Treatment 24
    • Pleural and Pulmonary Diseases 12
    • Lung Cancer Treatments and Mutations 9
    • Medical Imaging and Pathology Studies 6
    • Lung Cancer Research Studies 9

Shinya Tane

47 papers receiving 481 citations

Peers

Shinya Tane
Comparison fields: 5 of 56
  • Microbiology 9
  • Pulmonary and Respiratory Medicine 250
  • Transplantation 15
  • Oncology 119
  • Surgery 166
Replace K. William Harter with:
K. William Harter United States
Anthony Longano Australia
Tadashi Hara Japan
W. Burrows United States
Nobutaka Mizoguchi Japan
Ezra Hahn Canada
Pascale Halle France
Masakuni Sakaguchi Japan
N Tallada Spain
Georges F. Hatoum United States
Shinya Tane relative to K. William Harter United States K. William Harter's profile →
Citations per field
00.5×4.3×
K. William Harter · 1×
Citations per year

Countries citing papers authored by Shinya Tane

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Tane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201952
2 201745
3 201740
4
Survival rate and risk factors for patients with retinoblastoma in Japan
199234
5 201226
6 201524
7 201621
8 202018
9 201417
10 201015
11 202115
12 202114
13 201113
14 202213
15 201811
16 202011
17 20149
18 20129
19 20168
20 20197

About Shinya Tane

Shinya Tane is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Epidemiology and Neurology, having authored 54 papers that have together received 493 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (24 papers), Pleural and Pulmonary Diseases (12 papers), Lung Cancer Research Studies (9 papers), Lung Cancer Treatments and Mutations (9 papers), Medical Imaging and Pathology Studies (6 papers), Transplantation: Methods and Outcomes (5 papers), Neuroendocrine Tumor Research Advances (5 papers) and Organ Transplantation Techniques and Outcomes (5 papers). The work is most often cited by research in Microbiology (9 citations), Pulmonary and Respiratory Medicine (250 citations), Transplantation (15 citations), Oncology (119 citations) and Surgery (166 citations). Shinya Tane has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Wataru Nishio, Norihisa Shigemura, Kentaro Noda, Masahiro Yoshimura, Yoshitaka Kitamura, Hiroyuki Ogawa, Yoshimasa Maniwa, Yugo Tanaka, Kazuya Uchino and Jonathan D’Cunha. Their work appears in journals such as Interactive Cardiovascular and Thoracic Surgery, European Journal of Cardio-Thoracic Surgery, Surgery Today, The Annals of Thoracic Surgery and The Journal of Heart and Lung Transplantation.

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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