Takuya Sho

2.8k citations
53 papers · 777 · h-index 16

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Hepatitis C virus research 16
    • Hepatocellular Carcinoma Treatment and Prognosis 10
    • Liver Disease and Transplantation 6
    • Liver Disease Diagnosis and Treatment 13
    • Hepatitis B Virus Studies 9

Takuya Sho

50 papers receiving 767 citations

Peers

Takuya Sho
Comparison fields: 5 of 70
  • Hepatology 315
  • Epidemiology 272
  • Cancer Research 50
  • Oncology 82
  • Physiology 73
Replace Goki Suda with:
Goki Suda Japan
Masato Nakai Japan
Myat Oo Aung Singapore
Daniela Villari Italy
Federico Piñero Argentina
B. Freilich United States
S Seto Japan
Nathalie Barget France
Lucia De Franceschi Italy
Mobolaji Odewole United States
Takuya Sho relative to Goki Suda Japan Goki Suda's profile →
Citations per field
00.5×1.5×
Goki Suda · 1×
Citations per year

Countries citing papers authored by Takuya Sho

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Sho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Takuya Sho, 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 Takuya Sho Line = papers co-authored together Takuya Sho links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200987
2 201174
3 201870
4 201052
5 201331
6 201731
7 201831
8 201126
9 201626
10 201924
11 202023
12 202221
13 201617
14 201917
15 202016
16 201816
17 202215
18 201913
19 201712
20 201211

About Takuya Sho

Takuya Sho is a scholar working on Hepatology, Epidemiology, Molecular Biology, Infectious Diseases and Oncology, having authored 53 papers that have together received 777 indexed citations. Recurring topics across this work include Hepatitis C virus research (16 papers), Liver Disease Diagnosis and Treatment (13 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Hepatitis B Virus Studies (9 papers), Liver Disease and Transplantation (6 papers), Nutrition and Health in Aging (4 papers), HIV/AIDS drug development and treatment (3 papers) and Fibroblast Growth Factor Research (3 papers). The work is most often cited by research in Hepatology (315 citations), Epidemiology (272 citations), Cancer Research (50 citations), Oncology (82 citations) and Physiology (73 citations). Takuya Sho has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masato Nakai, Goki Suda, Naoya Sakamoto, Koji Ogawa, Masahiro Asaka, Kenichi Morikawa, Mitsuteru Natsuizaka, Megumi Kimura, Masatsugu Ohara and Shigetsugu Hatakeyama. Their work appears in journals such as Hepatology Research, Journal of Gastroenterology, PLoS ONE, Journal of Viral Hepatitis and Journal of 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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