Shingo Kihira

2.0k citations
35 papers · 1.1k indexed · h-index 15
Topics
Radiomics and Machine Learning in Medical Imaging (7 papers)Long-Term Effects of COVID-19 (6 papers)Hepatocellular Carcinoma Treatment and Prognosis (5 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBlood

In The Last Decade

Shingo Kihira

34 papers receiving 1.1k citations

Peers

Shingo Kihira
Comparison fields: 5 of 87
  • Pathology and Forensic Medicine 333
  • Oncology 320
  • Radiology, Nuclear Medicine and Imaging 245
  • Neurology 234
  • Genetics 199
Replace Magali Le Garff‐Tavernier with:
Magali Le Garff‐Tavernier France
Akihiro Kaneko Japan
Xiaoxi Zhang China
Francesco Pierconti Italy
Valérie Dubois France
S. Migliaresi Italy
Lidia Puzzo Italy
Joan Bargay Spain
Bożenna Dembowska–Bagińska Poland
Matthew Cravets United States
Shingo Kihira relative to Magali Le Garff‐Tavernier France Magali Le Garff‐Tavernier's profile →
Citations per field
00.5×2.8×
Magali Le Garff‐Tavernier · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 5
4 1
5 2
6 4
7 11
8 8
9 29
10 4
11 129
12 5
13 11
14 4
15 7
16 10
17 3
18 54
19 37
20 2

About Shingo Kihira

Shingo Kihira is a scholar working on Hepatology, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this 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). The work is most often cited by research in Hepatology (179 citations), Genetics (199 citations) and Pathology and Forensic Medicine (333 citations). Shingo Kihira has collaborated with scholars based in United States, Switzerland and Chile. Frequent co-authors include Chih Long Liu, Ash A. Alizadeh, Andrew J. Gentles, Jonathan M. Irish, Ronald Levy, Ramesh V. Nair, Michael R. Green, Sylvia K. Plevritis, Amish Doshi and Puneet Belani. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

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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