Shingo Kihira

45 total papers · 2.0k total citations
35 papers, 1.1k citations indexed

About

Shingo Kihira is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shingo Kihira has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Neurology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shingo Kihira's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Long-Term Effects of COVID-19 (6 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). Shingo Kihira is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Long-Term Effects of COVID-19 (6 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). Shingo Kihira collaborates with scholars based in United States, Switzerland and France. Shingo Kihira's co-authors include Andrew J. Gentles, Michael R. Green, Sylvia K. Plevritis, Ronald Levy, Chih Long Liu, Ash A. Alizadeh, Jonathan M. Irish, Ramesh V. Nair, Amish Doshi and Puneet Belani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Shingo Kihira

34 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shingo Kihira 332 318 239 231 198 35 1.1k
Magali Le Garff‐Tavernier 427 1.3× 199 0.6× 88 0.4× 302 1.3× 406 2.1× 62 1.3k
James P. O'Brien 449 1.4× 459 1.4× 87 0.4× 197 0.9× 119 0.6× 37 1.2k
A. Gouliamos 105 0.3× 229 0.7× 129 0.5× 134 0.6× 138 0.7× 56 984
Marcelo Scopinaro 267 0.8× 527 1.7× 62 0.3× 189 0.8× 88 0.4× 30 1.5k
Bruno Ferrero 537 1.6× 268 0.8× 69 0.3× 336 1.5× 37 0.2× 46 1.2k
Christian Kneitz 216 0.7× 208 0.7× 196 0.8× 40 0.2× 215 1.1× 29 1.1k
Antonio Vetrani 436 1.3× 350 1.1× 75 0.3× 52 0.2× 99 0.5× 77 1.3k
S. Migliaresi 310 0.9× 111 0.3× 61 0.3× 83 0.4× 85 0.4× 36 1.2k
Jonathan W. Rick 82 0.2× 286 0.9× 55 0.2× 128 0.6× 204 1.0× 50 1.1k
Gráinne Murphy 181 0.5× 154 0.5× 243 1.0× 45 0.2× 66 0.3× 38 1.4k

Countries citing papers authored by Shingo Kihira

Since Specialization
Citations

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

Fields of papers citing papers by Shingo Kihira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shingo Kihira

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

All Works

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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