Masaki Hagihara

1.6k citations
51 papers · 1.3k indexed · h-index 20
Topics
RNA and protein synthesis mechanisms (31 papers)Advanced biosensing and bioanalysis techniques (29 papers)DNA and Nucleic Acid Chemistry (29 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Masaki Hagihara

48 papers receiving 1.3k citations

Peers

Masaki Hagihara
Comparison fields: 5 of 87
  • Molecular Biology 1.1k
  • Genetics 146
  • Cellular and Molecular Neuroscience 128
  • Plant Science 109
  • Materials Chemistry 91
Replace Terry T. Takahashi with:
Terry T. Takahashi United States
Sarah E. Bondos United States
Fu‐Sen Liang United States
Matjaž Zorko Slovenia
Karl Bihlmaier Germany
Caroline Köhrer United States
Alexander G. Sobol Russia
Patrick M. Schaeffer Australia
Shui-Zhong Yan United States
Chris Jeans United States
Masaki Hagihara relative to Terry T. Takahashi United States Terry T. Takahashi's profile →
Citations per field
00.5×2.9×
Terry T. Takahashi · 1×
Citations per year

Countries citing papers authored by Masaki Hagihara

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Hagihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Hagihara

This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Hagihara. A scholar is included among the top collaborators of Masaki Hagihara 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 Hagihara. Masaki Hagihara 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
#WorkIndexed citations
1 0
2 7
3 1
4 3
5 19
6 1
7 25
8 24
9 280
10 21
11 22
12 1
13 48
14 8
15 6
16 16
17 8
18 0
19 16
20 6

About Masaki Hagihara

Masaki Hagihara is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Microbiology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (31 papers), Advanced biosensing and bioanalysis techniques (29 papers) and DNA and Nucleic Acid Chemistry (29 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cellular and Molecular Neuroscience (128 citations) and Genetics (146 citations). Masaki Hagihara has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kazuhiko Nakatani, Marcelo D. Vinces, Kevin J. Verstrepen, Matthieu Legendre, Marina Caldara, Gosuke Hayashi, Takashi Morii, Shin‐ichi Sato, Akio Kobori and Zhi‐Hong Jiang. Their work appears in journals such as Science, Journal of the American Chemical Society 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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