Kunio Kitada

2.9k citations
39 papers · 2.4k · 1 hit paper · h-index 22

Impact in

    • Fungal and yeast genetics research
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer

Papers in

    • Fungal and yeast genetics research 12
    • DNA Repair Mechanisms 7
    • Genomics and Chromatin Dynamics 6
    • Gene expression and cancer classification 3
    • Estrogen and related hormone effects 4

Kunio Kitada

38 papers receiving 2.3k citations

Kunio Kitada's Hit Papers

PrognoScan: a new database for meta-analysis of the prognostic value of genes 2009 · 780 citations
7800+5+11Years since publication250500750

Peers

Kunio Kitada
Comparison fields: 5 of 92
  • Cancer Research 374
  • Molecular Biology 1.5k
  • Oncology 490
  • Cell Biology 284
  • Genetics 288
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Razmik Mirzayans Canada
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Kunio Kitada relative to Balraj Singh United States Balraj Singh's profile →
Citations per field
00.5×1.5×2.2×
Balraj Singh · 1×
Citations per year

Countries citing papers authored by Kunio Kitada

Since Specialization
Citations

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

Fields of papers citing papers by Kunio Kitada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PrognoScan: a new database for meta-analysis of the prognostic value of genes
Hit paper breakdown →
2009780
2 2002199
3 1995136
4 2007116
5 1999112
6 2006110
7 199385
8 199875
9 200365
10 199664
11 200061
12 200759
13 200358
14 199851
15 200644
16 200938
17 200337
18 198732
19 198829
20 200927

About Kunio Kitada

Kunio Kitada is a scholar working on Molecular Biology, Genetics, Oncology, Plant Science and Cell Biology, having authored 39 papers that have together received 2.4k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (12 papers), DNA Repair Mechanisms (7 papers), Chromosomal and Genetic Variations (6 papers), Genomics and Chromatin Dynamics (6 papers), Drug Transport and Resistance Mechanisms (4 papers), Estrogen and related hormone effects (4 papers), Plant Genetic and Mutation Studies (4 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Cancer Research (374 citations), Molecular Biology (1.5k citations), Oncology (490 citations), Cell Biology (284 citations) and Genetics (288 citations). Kunio Kitada has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Hideaki Mizuno, Akinori Sarai, Kenta Nakai, Hiromichi Terashima, Mikio Arisawa, Nami Yabuki, Emi Yamaguchi, Kenji Hamada, Hironobu Sasano and Yasuhiro Miki. Their work appears in journals such as Cancer Research, Current Genetics, Molecular and Cellular Biology, Gene and Environmental Health Perspectives.

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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