Masaomi Hatakeyama

2.0k citations
22 papers · 564 indexed · h-index 12
Topics
Genomics and Phylogenetic Studies (8 papers)Chromosomal and Genetic Variations (6 papers)Genetic diversity and population structure (4 papers)
Partner nations
JapanSwitzerlandIndia

In The Last Decade

Masaomi Hatakeyama

21 papers receiving 560 citations

Peers

Masaomi Hatakeyama
Comparison fields: 5 of 91
  • Molecular Biology 319
  • Plant Science 287
  • Ecology, Evolution, Behavior and Systematics 125
  • Genetics 97
  • Materials Chemistry 38
Replace Hyun Hee Kim with:
Hyun Hee Kim South Korea
Zan Zhang China
Jae‐Hyeok Lee Canada
Yi-Han Lou China
Ayumi Kosaka Japan
Ana Claudia A. Melo Brazil
Marie‐Claude Gagnon Canada
Takashi Kawai Japan
Huiyuan Wang China
Ngaire P. Markwick New Zealand
Masaomi Hatakeyama relative to Hyun Hee Kim South Korea Hyun Hee Kim's profile →
Citations per field
00.5×5.4×
Hyun Hee Kim · 1×
Citations per year

Countries citing papers authored by Masaomi Hatakeyama

Since Specialization
Citations

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

Fields of papers citing papers by Masaomi Hatakeyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaomi Hatakeyama

This figure shows the co-authorship network connecting the top 25 collaborators of Masaomi Hatakeyama. A scholar is included among the top collaborators of Masaomi Hatakeyama 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 Masaomi Hatakeyama. Masaomi Hatakeyama 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 4
2 4
3 5
4 7
5 11
6 20
7 6
8 5
9 13
10 23
11 37
12 15
13 29
14 81
15 94
16 2
17 76
18 0
19 2
20 33

About Masaomi Hatakeyama

Masaomi Hatakeyama is a scholar working on Plant Science, Molecular Biology and Genetics, having authored 22 papers that have together received 564 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Chromosomal and Genetic Variations (6 papers) and Genetic diversity and population structure (4 papers). The work is most often cited by research in Plant Science (287 citations), Ecology, Evolution, Behavior and Systematics (125 citations) and Molecular Biology (319 citations). Masaomi Hatakeyama has collaborated with scholars based in Japan, Switzerland and India. Frequent co-authors include Kentaro K. Shimizu, Rie Shimizu‐Inatsugi, Ralph Schlapbach, Roland Faller, Timothy Paape, Jun Sese, Lennart Opitz, Giancarlo Russo, Weihong Qi and Hubert Rehrauer. Their work appears in journals such as Nature Communications, New Phytologist and Physical Chemistry Chemical Physics.

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