Yotaro Kudo

3.2k total citations · 1 hit paper
37 papers, 1.9k citations indexed

About

Yotaro Kudo is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yotaro Kudo has authored 37 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Yotaro Kudo's work include Epigenetics and DNA Methylation (9 papers), Pancreatic and Hepatic Oncology Research (6 papers) and RNA modifications and cancer (6 papers). Yotaro Kudo is often cited by papers focused on Epigenetics and DNA Methylation (9 papers), Pancreatic and Hepatic Oncology Research (6 papers) and RNA modifications and cancer (6 papers). Yotaro Kudo collaborates with scholars based in Japan, United States and Spain. Yotaro Kudo's co-authors include Kazuhiko Koike, Yoshinari Asaoka, Hideaki Ijichi, Keisuke Tateishi, Yasuo Tanaka, Keisuke Yamamoto, Hayato Nakagawa, T. Nakatsuka, Shinzo Yamamoto and Ryosuke Tateishi and has published in prestigious journals such as Molecular Cell, Gastroenterology and Cancer Cell.

In The Last Decade

Yotaro Kudo

36 papers receiving 1.9k citations

Hit Papers

Sarcopenia, intramuscular fat deposition, and visceral ad... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers

Yotaro Kudo
Comparison fields: 5 of 100
  • Molecular Biology 966
  • Oncology 473
  • Physiology 435
  • Cancer Research 323
  • Epidemiology 276
Replace Mee Soo Chang with:
Mee Soo Chang South Korea
Catriona McKenzie Australia
Shuen‐Kuei Liao Taiwan
Yoshito Takeda Japan
Vladislav Temkin United States
Yasuteru Kondo Japan
Mikihiro Fujiya Japan
Norihiko Yamamoto Japan
Aleksander M. Grabiec Poland
Ana Lúcia Coelho United States
Mee Soo Chang South Korea View profile →
Citations per field, relative to Yotaro Kudo
Yotaro Kudo · 1×
Citations per year, relative to Yotaro Kudo
Yotaro Kudo · 1×

Countries citing papers authored by Yotaro Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Yotaro Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yotaro Kudo

This figure shows the co-authorship network connecting the top 25 collaborators of Yotaro Kudo. A scholar is included among the top collaborators of Yotaro Kudo 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 Yotaro Kudo. Yotaro Kudo 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
# Work Indexed citations
1 1
2 5
3 19
4 17
5 107
6 9
7 20
8 40
9 65
10
Sarcopenia, intramuscular fat deposition, and visceral adiposity independently predict the outcomes of hepatocellular carcinoma breakdown →
544
11 38
12 26
13 62
14 20
15 57
16 48
17 49
18 74
19 22
20 14

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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