Tomoki Shirota

2.2k total citations · 2 hit papers
19 papers, 1.4k citations indexed

About

Tomoki Shirota is a scholar working on Oncology, Surgery and Epidemiology. According to data from OpenAlex, Tomoki Shirota has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 12 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in Tomoki Shirota's work include Pancreatic and Hepatic Oncology Research (10 papers), Esophageal and GI Pathology (4 papers) and Neuroendocrine Tumor Research Advances (3 papers). Tomoki Shirota is often cited by papers focused on Pancreatic and Hepatic Oncology Research (10 papers), Esophageal and GI Pathology (4 papers) and Neuroendocrine Tumor Research Advances (3 papers). Tomoki Shirota collaborates with scholars based in Japan and United Kingdom. Tomoki Shirota's co-authors include Kazuaki Shimada, Yasuhito Arai, Tatsuhiro Shibata, Hidenori Ojima, Natsuko Hama, Yasushi Totoki, Takuji Okusaka, Tomoo Kosuge, Fumie Hosoda and Hiromi Nakamura and has published in prestigious journals such as Nature Genetics, Hepatology and Medicine.

In The Last Decade

Tomoki Shirota

16 papers receiving 1.4k citations

Hit Papers

Genomic spectra of biliary tract cancer 2013 2026 2017 2021 2015 2013 250 500 750

Peers

Tomoki Shirota
Comparison fields: 5 of 52
  • Surgery 1.1k
  • Oncology 785
  • Molecular Biology 397
  • Pulmonary and Respiratory Medicine 334
  • Cancer Research 333
Replace Shoko Ohashi with:
Shoko Ohashi Japan
Tomoko Urushidate Japan
Chaitanya Churi United States
Asmaa Elzawahry Japan
Natsuko Hama Japan
Sohail Balasubramanian United States
Eiichi Sasaki Japan
I Miyazaki Japan
Adele Busico Italy
Norma Alonzo Palma United States
Shoko Ohashi Japan View profile →
Citations per field, relative to Tomoki Shirota
Tomoki Shirota · 1×
Citations per year, relative to Tomoki Shirota
Tomoki Shirota · 1×

Countries citing papers authored by Tomoki Shirota

Since Specialization
Citations

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

Fields of papers citing papers by Tomoki Shirota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoki Shirota

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 7
2 6
3 2
4 6
5 11
6 0
7 10
8 13
9 22
10 10
11 11
12 10
13 0
14 25
15 2
16
Genomic spectra of biliary tract cancer breakdown →
853
17
Fibroblast growth factor receptor 2 tyrosine kinase fusions define a unique molecular subtype of cholangiocarcinoma breakdown →
400
18 9
19 0

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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