Atsushi Tani

743 citations
45 papers · 590 indexed · h-index 14
Topics
Radiomics and Machine Learning in Medical Imaging (21 papers)Medical Imaging Techniques and Applications (17 papers)Adrenal and Paraganglionic Tumors (6 papers)
Partner nations
JapanGermany

In The Last Decade

Atsushi Tani

44 papers receiving 586 citations

Peers

Atsushi Tani
Comparison fields: 5 of 54
  • Radiology, Nuclear Medicine and Imaging 391
  • Pulmonary and Respiratory Medicine 127
  • Surgery 110
  • Oncology 85
  • Cancer Research 77
Replace Bong‐Il Song with:
Bong‐Il Song South Korea
Yoriko Kajiya Japan
Michiru Ide Japan
Shigeaki Higashiyama Japan
Shyam Singh Bisht India
Nicholas S. Boehling United States
Jinhua Cai China
Julian Perks United States
Jiliang Ren China
Gil Soo Son South Korea
Atsushi Tani relative to Bong‐Il Song South Korea Bong‐Il Song's profile →
Citations per field
00.5×1.5×
Bong‐Il Song · 1×
Citations per year

Countries citing papers authored by Atsushi Tani

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Tani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Tani

This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Tani. A scholar is included among the top collaborators of Atsushi Tani 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 Atsushi Tani. Atsushi Tani 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 6
4 2
5 6
6 11
7 20
8 3
9 26
10 13
11 11
12 15
13 4
14 9
15 10
16 93
17 7
18 3
19 3
20 17

About Atsushi Tani

Atsushi Tani is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Cancer Research, having authored 45 papers that have together received 590 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (21 papers), Medical Imaging Techniques and Applications (17 papers) and Adrenal and Paraganglionic Tumors (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (391 citations), Otorhinolaryngology (40 citations) and Cancer Research (77 citations). Atsushi Tani has collaborated with scholars based in Japan and Germany. Frequent co-authors include Masatoyo Nakajo, Masayuki Nakajo, Megumi Jinguji, Takashi Yoshiura, Yoriko Kajiya, Chihaya Koriyama, Yoshiaki Nakabeppu, Yoshihiko Fukukura, Shinsaku Tsuchimochi and Tomoyo Kaneko. Their work appears in journals such as Scientific Reports, Radiology and The Annals of Thoracic Surgery.

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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