Tadashi Sekimoto

499 citations
44 papers · 388 indexed · h-index 13
Topics
Liver Disease Diagnosis and Treatment (30 papers)Liver Disease and Transplantation (28 papers)Hepatocellular Carcinoma Treatment and Prognosis (18 papers)
Partner nations
JapanUnited States

In The Last Decade

Tadashi Sekimoto

40 papers receiving 387 citations

Peers

Tadashi Sekimoto
Comparison fields: 5 of 54
  • Hepatology 291
  • Epidemiology 273
  • Surgery 92
  • Radiology, Nuclear Medicine and Imaging 59
  • Biomedical Engineering 38
Replace Larysa Fedchuk with:
Larysa Fedchuk France
Stella Maris Martínez Argentina
Walaa Shabana Egypt
B.E. Annicchiarico Italy
Nekisa Zakeri United Kingdom
C Cestari Italy
Luca L’Abbate Italy
Seung Kak Shin South Korea
Tamami Abe Japan
Alexandra Schlein United States
Tadashi Sekimoto relative to Larysa Fedchuk France Larysa Fedchuk's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tadashi Sekimoto

Since Specialization
Citations

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

Fields of papers citing papers by Tadashi Sekimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadashi Sekimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Sekimoto. A scholar is included among the top collaborators of Tadashi Sekimoto 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 Tadashi Sekimoto. Tadashi Sekimoto 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 4
2 3
3 30
4 5
5 12
6 13
7 10
8 40
9 16
10 0
11 14
12 16
13 3
14 15
15 8
16 5
17 4
18 9
19 7
20 18

About Tadashi Sekimoto

Tadashi Sekimoto is a scholar working on Hepatology, Epidemiology and Gastroenterology, having authored 44 papers that have together received 388 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (30 papers), Liver Disease and Transplantation (28 papers) and Hepatocellular Carcinoma Treatment and Prognosis (18 papers). The work is most often cited by research in Hepatology (291 citations), Epidemiology (273 citations) and Radiology, Nuclear Medicine and Imaging (59 citations). Tadashi Sekimoto has collaborated with scholars based in Japan and United States. Frequent co-authors include Osamu Yokosuka, Hitoshi Maruyama, Masanori Takahashi, Takayuki Kondo, Taro Shimada, Soichiro Kiyono, Fumihiko Kanai, Hidehiro Okugawa, Tatsuo Kanda and Kazufumi Kobayashi. Their work appears in journals such as American Journal of Roentgenology, Medicine and Clinical Gastroenterology and Hepatology.

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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