Jun‐ichirou Ohzeki

1.7k citations
24 papers · 1.3k indexed · h-index 16
    • Chromosomal and Genetic Variations 19
    • Plant Virus Research Studies 3
    • Microtubule and mitosis dynamics 4
    • Genomics and Chromatin Dynamics 17
    • Advanced biosensing and bioanalysis techniques 6
    • CRISPR and Genetic Engineering 3
    • Epigenetics and DNA Methylation 2
  • Genetics top 10%
    • Genomic variations and chromosomal abnormalities 3

Jun‐ichirou Ohzeki

23 papers receiving 1.3k citations

Peers

Jun‐ichirou Ohzeki
Comparison fields: 5 of 69
  • Plant Science 878
  • Cell Biology 302
  • Molecular Biology 1.1k
  • Genetics 273
  • Aging 12
Replace Megumi Nakano with:
Megumi Nakano Japan
Masashi Ikeno Japan
Danielle V. Irvine Australia
Brenda R. Grimes United States
Shihori Yokobayashi Japan
Heather C. Gregson United States
Alexandra M. Ainsztein United States
Daniel Mesnard Switzerland
Marius B. Faza Switzerland
Iestyn Whitehouse United States
Jun‐ichirou Ohzeki relative to Megumi Nakano Japan Megumi Nakano's profile →
Citations per field
00.5×1.7×
Megumi Nakano · 1×
Citations per year

Countries citing papers authored by Jun‐ichirou Ohzeki

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐ichirou Ohzeki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20248
4 20232
5 202041
6 202012
7 201918
8 201832
9 201676
10 201523
11 201551
12 201553
13 201319
14 2012134
15 200958
16 2007190
17 200760
18 2005153
19 200472
20 2002242

About Jun‐ichirou Ohzeki

Jun‐ichirou Ohzeki is a scholar working on Plant Science, Molecular Biology and Cell Biology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (19 papers), Genomics and Chromatin Dynamics (17 papers), Advanced biosensing and bioanalysis techniques (6 papers), Microtubule and mitosis dynamics (4 papers), CRISPR and Genetic Engineering (3 papers), Plant Virus Research Studies (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Plant Science (878 citations), Cell Biology (302 citations) and Molecular Biology (1.1k citations). Jun‐ichirou Ohzeki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiroshi Masumoto, Megumi Nakano, Vladimir Larionov, Teruaki Okada, William C. Earnshaw, Natalay Kouprina, Koichiro Otake, Vladimir N. Noskov, Kinya Yoda and William R. Brinkley. Their work appears in journals such as Cell, Nucleic Acids Research and The Journal of Cell Biology.

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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