Jun Yokota

22.6k citations
216 papers · 15.2k indexed · 3 hit papers · h-index 64

Jun Yokota

214 papers receiving 14.8k citations

Hit Papers

Circulating Exosomal microRNAs as Biomarkers of Colo...672200620262012201950010001.5k2.0k

Peers

Jun Yokota
Comparison fields: 5 of 147
  • Cancer Research 5.7k
  • Molecular Biology 11.4k
  • Oncology 3.6k
  • Pathology and Forensic Medicine 1.7k
  • Pulmonary and Respiratory Medicine 2.0k
Replace Rosette Lidereau with:
Rosette Lidereau France
Keping Xie United States
Bin Tean Teh United States
Haruhiko Sugimura Japan
Paulette Bioulac‐Sage France
Hanina Hibshoosh United States
Elizabeth A. Musgrove Australia
Gary E. Gallick United States
Thomas Kirchner Germany
Alfonso Bellacosa United States
Jun Yokota relative to Rosette Lidereau France Rosette Lidereau's profile →
Citations per field
00.5×1.5×
Rosette Lidereau · 1×
Citations per year

Countries citing papers authored by Jun Yokota

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yokota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202024
2 201693
3 201529
4 201431
5 201455
6 201449
7 2013204
8 2013126
9 201338
10 200931
11 2009125
12
Loss of Keap1 Function Activates Nrf2 and Provides Advantages for Lung Cancer Cell Growthbreakdown →
2008526
13 200537
14
Genetic polymorphism of CYP2A6 gene and tobacco-induced lung cancer risk in male smokers.
2002125
15
Alterations of the PPP1R3 gene in human cancer.
199927
16
Clinicopathological significance of Fhit protein expression in stage I non-small cell lung carcinoma.
199883
17 199632
18 199066
19
Correlation between long-term survival in breast cancer patients and amplification of two putative oncogene-coamplification units: hst-1/int-2 and c-erbB-2/ear-1.
1989276
20 198517

About Jun Yokota

Jun Yokota is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 216 papers that have together received 15.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (44 papers), DNA Repair Mechanisms (33 papers), Cancer Genomics and Diagnostics (26 papers), Genetic factors in colorectal cancer (26 papers), Cancer-related Molecular Pathways (25 papers), Cancer-related gene regulation (25 papers), Epigenetics and DNA Methylation (22 papers) and Lung Cancer Treatments and Mutations (21 papers). The work is most often cited by research in Cancer Research (5.7k citations), Molecular Biology (11.4k citations) and Oncology (3.6k citations). Jun Yokota has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Takashi Kohno, Aikou Okamoto, Curtis C. Harris, Elise D. Bowman, Tadao Tanaka, Nozomu Yanaihara, Kensuke Kumamoto, Masahiro Seike, Carlo M. Croce and George A. Calin. Their work appears in journals such as Genes Chromosomes and Cancer, Oncogene, International Journal of Cancer, Cancer Research and International Journal of Oncology.

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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