Terumi Mukai

3.5k citations
93 papers · 2.9k indexed · 2 hit papers · h-index 27

Terumi Mukai

91 papers receiving 2.7k citations

Hit Papers

MUTATION RATE AND DOMINANCE OF GENES AFFECTING VIABILITY ...4201964202619842005100200300400

Peers

Terumi Mukai
Comparison fields: 5 of 96
  • Genetics 2.1k
  • Aging 64
  • Insect Science 406
  • Ecology, Evolution, Behavior and Systematics 541
  • Plant Science 904
Replace L Sandler with:
L Sandler United States
Maria‐Dolors Piulachs Spain
Esther Betrán United States
Rob J. Kulathinal United States
J. F. Kidwell United States
Christian Biémont France
Robert A. Voelker United States
Michael J Simmons United States
Alexander E. Vinogradov Russia
Jean‐Claude Mounolou France
Terumi Mukai relative to L Sandler United States L Sandler's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Terumi Mukai

Since Specialization
Citations

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

Fields of papers citing papers by Terumi Mukai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200022
2 19931
3 19912
4 199111
5 199011
6 199010
7 199010
8 198942
9
Distribution of Gm allotypes among the three populations of the Miyako Islands in Okinawa.
19894
10 19861
11 198316
12 197458
13 19711
14 197017
15 1969142
16 19641
17 19642
18
Behavior of sex-linked recessive lethals in populations.
19620
19 19614
20 195935

About Terumi Mukai

Terumi Mukai is a scholar working on Genetics, Plant Science, Aging, Insect Science and Biochemistry, having authored 93 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genetic diversity and population structure (37 papers), Chromosomal and Genetic Variations (29 papers), Evolution and Genetic Dynamics (23 papers), Insect Resistance and Genetics (19 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), Genetics and Plant Breeding (7 papers), Genomics and Phylogenetic Studies (5 papers) and Plant Virus Research Studies (5 papers). The work is most often cited by research in Genetics (2.1k citations), Aging (64 citations), Insect Science (406 citations), Ecology, Evolution, Behavior and Systematics (541 citations) and Plant Science (904 citations). Terumi Mukai has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include L. E. Mettler, Sadao I. Chigusa, James F. Crow, Robert A. Voelker, Osamu Yamaguchi, C. Clark Cockerham, Tsuneyuki Yamazaki, Ko Harada, R. A. Cardellino and Kenji Yukuhiro. Their work appears in journals such as Genetics, Proceedings of the National Academy of Sciences, Proceedings of the Japan Academy Series B, Genetics Research and Genetica.

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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