Masaki Hashiyada

1.4k citations
66 papers · 944 indexed · h-index 20
  • Toxicology top 2%
  • Genetics top 10%
    • Forensic and Genetic Research 17
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 7
    • Genetic Syndromes and Imprinting 4
    • Molecular Biology Techniques and Applications 13
    • Gut microbiota and health 5
    • Epigenetics and DNA Methylation 5
    • Sexual Differentiation and Disorders 5
    • Metabolomics and Mass Spectrometry Studies 3

Masaki Hashiyada

63 papers receiving 916 citations

Peers

Masaki Hashiyada
Comparison fields: 5 of 110
  • Toxicology 93
  • Genetics 283
  • Analytical Chemistry 71
  • Emergency Medicine 68
  • Gastroenterology 35
Replace J Jouglard with:
J Jouglard France
Patrick E. McKinney United States
Marion Pavlic Austria
T. Taylor United States
Barbara J. Fuhrman United States
Jacob Atsmon Israel
Armand Littman United States
Dana G. Allen Canada
S. Rutherfoord Rose United States
Akiko Tsuji Japan
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Citations per field
00.5×7.9×
J Jouglard · 1×
Citations per year

Countries citing papers authored by Masaki Hashiyada

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Hashiyada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20226
2 202111
3 201943
4 201962
5 20123
6 201244
7 20114
8 20110
9 20098
10 200730
11 20074
12 20079
13
Investigation of discriminatation method for DMPA (differentially methylated parental allele)
20052
14 20041
15 200342
16 20035
17 20015
18 20010
19 200011
20 19969

About Masaki Hashiyada

Masaki Hashiyada is a scholar working on Genetics, Gastroenterology and Molecular Biology, having authored 66 papers that have together received 944 indexed citations. Recurring topics across this work include Forensic and Genetic Research (17 papers), Molecular Biology Techniques and Applications (13 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Gut microbiota and health (5 papers), Epigenetics and DNA Methylation (5 papers), Sexual Differentiation and Disorders (5 papers), Genetic Syndromes and Imprinting (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Toxicology (93 citations), Genetics (283 citations) and Analytical Chemistry (71 citations). Masaki Hashiyada has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Masato Funayama, Masayuki Nata, Yoshie Hayashizaki, Kiyotaka Usui, Sohtaro Mimasaka, Atsushi Akane, Takahisa Kimata, Kazunari Kaneko, Sohsaku Yamanouchi and Shoji Tsuji. Their work appears in journals such as The Journal of Urology, Nutrients and Fertility and Sterility.

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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