Yotaro Kudo

3.2k citations
37 papers · 1.9k indexed · 1 hit paper · h-index 21
Topics
Epigenetics and DNA Methylation (9 papers)Pancreatic and Hepatic Oncology Research (6 papers)RNA modifications and cancer (6 papers)
Partner nations
JapanUnited StatesSpain

In The Last Decade

Yotaro Kudo

36 papers receiving 1.9k citations

Hit Papers

Sarcopenia, intramuscular fat deposition, and visceral ad...20152026201820222015100200300400500

Peers

Yotaro Kudo
Comparison fields: 5 of 100
  • Molecular Biology 966
  • Oncology 473
  • Physiology 435
  • Cancer Research 323
  • Epidemiology 276
Replace Catriona McKenzie with:
Catriona McKenzie Australia
Mee Soo Chang South Korea
Mikihiro Fujiya Japan
Yoshito Takeda Japan
Shuen‐Kuei Liao Taiwan
Haitao Yu China
Yasuteru Kondo Japan
Norihiko Yamamoto Japan
Aleksander M. Grabiec Poland
Ana Lúcia Coelho United States
Yotaro Kudo relative to Catriona McKenzie Australia Catriona McKenzie's profile →
Citations per field
00.5×6.5×
Catriona McKenzie · 1×
Citations per year

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
#WorkIndexed 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 carcinomabreakdown →
544
11 38
12 26
13 62
14 20
15 57
16 48
17 49
18 74
19 22
20 14

About Yotaro Kudo

Yotaro Kudo is a scholar working on Hepatology, Cancer Research and Oncology, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), Pancreatic and Hepatic Oncology Research (6 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Geriatrics and Gerontology (130 citations), Hepatology (226 citations) and Cancer Research (323 citations). Yotaro Kudo has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Kazuhiko Koike, Yoshinari Asaoka, Hideaki Ijichi, Keisuke Tateishi, Yasuo Tanaka, Keisuke Yamamoto, Hayato Nakagawa, T. Nakatsuka, Shinzo Yamamoto and Ryosuke Tateishi. Their work appears in journals such as Molecular Cell, Gastroenterology and Cancer Cell.

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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