Masaki Hashiyada

1.4k total citations
66 papers, 944 citations indexed

About

Masaki Hashiyada is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Masaki Hashiyada has authored 66 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 29 papers in Genetics and 9 papers in Surgery. Recurrent topics in Masaki Hashiyada's work include Forensic and Genetic Research (17 papers), Molecular Biology Techniques and Applications (13 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers). Masaki Hashiyada is often cited by papers focused on Forensic and Genetic Research (17 papers), Molecular Biology Techniques and Applications (13 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers). Masaki Hashiyada collaborates with scholars based in Japan, United States and Australia. Masaki Hashiyada's co-authors include Masato Funayama, Masayuki Nata, Yoshie Hayashizaki, Kiyotaka Usui, Sohtaro Mimasaka, Atsushi Akane, Takahisa Kimata, Kazunari Kaneko, Sohsaku Yamanouchi and Shoji Tsuji and has published in prestigious journals such as The Journal of Urology, Nutrients and Fertility and Sterility.

In The Last Decade

Masaki Hashiyada

63 papers receiving 916 citations

Peers

Masaki Hashiyada
Comparison fields: 5 of 110
  • Molecular Biology 397
  • Genetics 283
  • Food Science 105
  • Toxicology 93
  • Pediatrics, Perinatology and Child Health 78
Replace Marion Pavlic with:
Marion Pavlic Austria
Akiko Tsuji Japan
J Jouglard France
T. Taylor United States
Anne Ronan Australia
Patrick E. McKinney United States
Annette Thierauf Germany
Barbara J. Fuhrman United States
Armand Littman United States
Anil Minocha United States
Marion Pavlic Austria View profile →
Citations per field, relative to Masaki Hashiyada
Masaki Hashiyada · 1×
Citations per year, relative to Masaki Hashiyada
Masaki Hashiyada · 1×

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 of co-authors of Masaki Hashiyada

This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Hashiyada. A scholar is included among the top collaborators of Masaki Hashiyada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masaki Hashiyada. Masaki Hashiyada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 11
3 43
4 62
5 3
6 44
7 4
8 0
9 8
10 30
11 4
12 9
13
Investigation of discriminatation method for DMPA (differentially methylated parental allele)
2
14 1
15 42
16 5
17 5
18 0
19 11
20 9

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026