Masatsugu Ueda

7.7k citations
169 papers · 6.0k indexed · 1 hit paper · h-index 37
Topics
Animal Genetics and Reproduction (28 papers)CRISPR and Genetic Engineering (19 papers)Cervical Cancer and HPV Research (18 papers)
Partner nations
JapanTaiwanUnited States

In The Last Decade

Masatsugu Ueda

165 papers receiving 5.8k citations

Hit Papers

Resetting Central and Peripheral Circadian Oscillators in...2000202620082017200050010001.5k

Peers

Masatsugu Ueda
Comparison fields: 5 of 129
  • Molecular Biology 2.3k
  • Endocrine and Autonomic Systems 1.5k
  • Physiology 942
  • Oncology 860
  • Genetics 837
Replace Kelly E. Mayo with:
Kelly E. Mayo United States
Nadine Binart France
Paul C. Orban Canada
Björn Vennström Sweden
Fumihiro Sugiyama Japan
Bogi Andersen United States
Holly A. Ingraham United States
Paul A. Wade United States
Oliver Kretz Germany
Pamela L. Mellon United States
Masatsugu Ueda relative to Kelly E. Mayo United States Kelly E. Mayo's profile →
Citations per field
00.5×
Kelly E. Mayo · 1×
Citations per year

Countries citing papers authored by Masatsugu Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Masatsugu Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masatsugu Ueda

This figure shows the co-authorship network connecting the top 25 collaborators of Masatsugu Ueda. A scholar is included among the top collaborators of Masatsugu Ueda 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 Masatsugu Ueda. Masatsugu Ueda 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 31
2 14
3 3
4 1
5 19
6
1
7 6
8 13
9 24
10 11
11 1
12 50
13 11
14 21
15 26
16 6
17 18
18 30
19 22
20 0

About Masatsugu Ueda

Masatsugu Ueda is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Hematology, having authored 169 papers that have together received 6.0k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (28 papers), CRISPR and Genetic Engineering (19 papers) and Cervical Cancer and HPV Research (18 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.5k citations), Aging (246 citations) and Reproductive Medicine (695 citations). Masatsugu Ueda has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Michael Menaker, Shin Yamazaki, Hajime Tei, Rika Numano, Yoshiyuki Sakaki, Michikazu Abe, Akiko Hida, Gene D. Block, Minoru Ueki and Riichi Takahashi. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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