Hisao Masukata

3.3k citations
45 papers · 2.7k indexed · 1 hit paper · h-index 27
    • DNA Repair Mechanisms 36
    • Genomics and Chromatin Dynamics 18
    • Fungal and yeast genetics research 17
    • CRISPR and Genetic Engineering 5
    • RNA and protein synthesis mechanisms 5
  • Genetics top 2%
    • Bacterial Genetics and Biotechnology 8
  • Aging top 10%
    • Chromosomal and Genetic Variations 6
    • Bacteriophages and microbial interactions 3

Hisao Masukata

45 papers receiving 2.6k citations

Hit Papers

A human centromere antigen (CENP-B) interacts with a shor...5841989202620012013100200300400500

Peers

Hisao Masukata
Comparison fields: 5 of 75
  • Molecular Biology 2.5k
  • Cell Biology 423
  • Genetics 722
  • Aging 36
  • Plant Science 733
Replace Matthew C. Whitby with:
Matthew C. Whitby United Kingdom
Katsura Asano United States
Anthony Schwacha United States
Andrew F. Taylor United States
Keiko Umezu Japan
Camilla Sjögren Sweden
Carol S. Newlon United States
Masumi Hidaka Japan
Laurence Haren France
Brigitte D. Lavoie Canada
Hisao Masukata relative to Matthew C. Whitby United Kingdom Matthew C. Whitby's profile →
Citations per field
00.5×1.5×
Matthew C. Whitby · 1×
Citations per year

Countries citing papers authored by Hisao Masukata

Since Specialization
Citations

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

Fields of papers citing papers by Hisao Masukata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201922
2 201828
3 201635
4 201633
5 201626
6 201243
7 201288
8 201131
9 201020
10 200851
11 2007146
12 200674
13 200121
14 199992
15 19982
16 19982
17 19969
18 199330
19 198816
20 198743

About Hisao Masukata

Hisao Masukata is a scholar working on Molecular Biology, Aging and Genetics, having authored 45 papers that have together received 2.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (36 papers), Genomics and Chromatin Dynamics (18 papers), Fungal and yeast genetics research (17 papers), Bacterial Genetics and Biotechnology (8 papers), Chromosomal and Genetic Variations (6 papers), CRISPR and Genetic Engineering (5 papers), RNA and protein synthesis mechanisms (5 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Cell Biology (423 citations) and Genetics (722 citations). Hisao Masukata has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Jun-ichi Tomizawa, Tatsuro Takahashi, Takuro Nakagawa, Tuneko Okazaki, Naohito Nozaki, Yoshinao Muro, Hiroshi Masumoto, Makoto Hayashi, Santanu Dasgupta and Tomoko Ogawa. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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