Taku Aoki

9.9k citations
223 papers · 7.0k indexed · 3 hit papers · h-index 43
  • Hepatology top 0.1%
    • Hepatocellular Carcinoma Treatment and Prognosis 87
    • Liver Disease and Transplantation 42
  • Oncology top 1%
    • Pancreatic and Hepatic Oncology Research 51
  • Surgery top 0.5%
    • Cholangiocarcinoma and Gallbladder Cancer Studies 45
    • Organ Transplantation Techniques and Outcomes 39
    • Gallbladder and Bile Duct Disorders 24
    • Gastric Cancer Management and Outcomes 19
    • Liver Disease Diagnosis and Treatment 35

Taku Aoki

210 papers receiving 6.9k citations

Hit Papers

Real‐time identification of liver cancers by using indocy...6242005202620122019200400600

Peers

Taku Aoki
Comparison fields: 5 of 132
  • Hepatology 3.9k
  • Oncology 2.2k
  • Surgery 3.4k
  • Cancer Research 866
  • Pulmonary and Respiratory Medicine 1.8k
Replace Tan To Cheung with:
Tan To Cheung Hong Kong
Ksh Chok Hong Kong
Thomas Gruenberger Austria
Manel Solé Spain
Yonson Ku Japan
Guido Torzilli Italy
Lorenza Rimassa Italy
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Concepció Brú Spain
Ronnie Tung‐Ping Poon Hong Kong
Taku Aoki relative to Tan To Cheung Hong Kong Tan To Cheung's profile →
Citations per field
00.5×1.6×
Tan To Cheung · 1×
Citations per year

Countries citing papers authored by Taku Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Taku Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Taku Aoki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Taku Aoki Line = papers co-authored together Taku Aoki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20240
5 20224
6 20221
7 20205
8 202010
9 201911
10 201916
11 20191
12 201959
13 201814
14 20187
15 20187
16 201712
17 20175
18 20143
19 201426
20 20144

About Taku Aoki

Taku Aoki is a scholar working on Hepatology, Oncology and Transplantation, having authored 223 papers that have together received 7.0k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (87 papers), Pancreatic and Hepatic Oncology Research (51 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (45 papers), Liver Disease and Transplantation (42 papers), Organ Transplantation Techniques and Outcomes (39 papers), Liver Disease Diagnosis and Treatment (35 papers), Gallbladder and Bile Duct Disorders (24 papers) and Gastric Cancer Management and Outcomes (19 papers). The work is most often cited by research in Hepatology (3.9k citations), Oncology (2.2k citations) and Surgery (3.4k citations). Taku Aoki has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Norihiro Kokudo, Kiyoshi Hasegawa, Yasuhiko Sugawara, Masatoshi Makuuchi, Takeaki Ishizawa, Yoshihiro Sakamoto, Hiroshi Imamura, Yoshifumi Beck, Keiji Sano and Junichi Kaneko. Their work appears in journals such as Journal of Hepato-Biliary-Pancreatic Sciences, World Journal of Surgery, Anticancer Research, Journal of the American College of Surgeons and 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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