T Unno

708 total citations
17 papers, 523 citations indexed

About

T Unno is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, T Unno has authored 17 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 7 papers in Oncology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in T Unno's work include Colorectal Cancer Surgical Treatments (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Urological Disorders and Treatments (2 papers). T Unno is often cited by papers focused on Colorectal Cancer Surgical Treatments (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Urological Disorders and Treatments (2 papers). T Unno collaborates with scholars based in Japan and Netherlands. T Unno's co-authors include Kiyoshi Matsueda, Satoshi Nagayama, Tsuyoshi Konishi, Yoshiya Fujimoto, Takashi Akiyoshi, Masashi Ueno, Yosuke Fukunaga, Makiko Hiratsuka, Toshiharu Yamaguchi and Toshiaki Watanabe and has published in prestigious journals such as British journal of surgery, Annals of Surgical Oncology and Surgery.

In The Last Decade

T Unno

14 papers receiving 515 citations

Peers

T Unno
Comparison fields: 5 of 31
  • Surgery 450
  • Oncology 439
  • Pulmonary and Respiratory Medicine 145
  • Hepatology 53
  • Radiology, Nuclear Medicine and Imaging 48
Replace R Gigoni with:
R Gigoni Italy
Nicolas Tabchouri France
Georgia Dedemadi Greece
Alan Schuricht United States
T. Pless Denmark
Javier Herrera Spain
Jyotsna Batapati Krishna Reddy United States
F. Lazorthes France
Incheon Kang South Korea
P Dell’Abate Italy
R Gigoni Italy View profile →
Citations per field, relative to T Unno
T Unno · 1×
Citations per year, relative to T Unno
T Unno · 1×

Countries citing papers authored by T Unno

Since Specialization
Citations

This map shows the geographic impact of T Unno'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 T Unno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Unno more than expected).

Fields of papers citing papers by T Unno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Unno

This figure shows the co-authorship network connecting the top 25 collaborators of T Unno. A scholar is included among the top collaborators of T Unno 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 T Unno. T Unno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 41
3 25
4 1
5 4
6 143
7 67
8 195
9 0
10
[Local staging with magnetic resonance imaging after neoadjuvant hormonal therapy for prostate cancer].
1
11
[Cystolithotripsy for bladder stones: comparison of holmium:YAG laser with Lithoclast as a lithotripsy device].
6
12 29
13 5
14 2
15
[Surgical repair of postinfarction cardiac rupture in three cases].
2
16
[A case of double bronchogenic cysts in the mediastinum].
1
17
[Left ventricular isovolumic relaxation time estimated by the aortic root echocardiogram].
1

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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2026