Shinichi Kudo

3.1k citations
91 papers · 2.4k indexed · h-index 25

Shinichi Kudo

89 papers receiving 2.4k citations

Peers

Shinichi Kudo
Comparison fields: 5 of 110
  • Molecular Biology 1.4k
  • Genetics 1.0k
  • Cognitive Neuroscience 382
  • Physiology 237
  • Ecology, Evolution, Behavior and Systematics 219
Replace Christian F. Lehner with:
Christian F. Lehner Germany
Janet M. Young United States
Mario Cáceres Spain
Luc DesGroseillers Canada
Barbara R. DuPont United States
Mary Goll United States
Takashi Kitano Japan
Kevin Liu United States
Lee M. Silver United States
F.F.B. Elder United States
Shinichi Kudo relative to Christian F. Lehner Germany Christian F. Lehner's profile →
Citations per field
00.5×4.1×
Christian F. Lehner · 1×
Citations per year

Countries citing papers authored by Shinichi Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Shinichi Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinichi Kudo

This figure shows the co-authorship network connecting the top 25 collaborators of Shinichi Kudo. A scholar is included among the top collaborators of Shinichi Kudo 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 Shinichi Kudo. Shinichi Kudo 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 3
2 6
3 20
4 2
5
Host plants of Japanese acanthosomatid bugs (Heteroptera: Acanthosomatidae).
5
6 99
7 14
8 100
9 68
10 46
11 14
12 10
13 125
14 51
15 5
16
Parental Care of the Whitefly Neomaskellia bergii (Homoptera)
3
17
A New Euphorine Species of Aridelus (Hymenoptera, Braconidae) Associated with a Subsocial Bug Elasmucha putoni (Heteroptera, Acanthosomatidae)
2
18 14
19
Notes on the oviposition site of Elasmucha putoni (Hemiptera, Acanthosomatidae)
1
20 2

About Shinichi Kudo

Shinichi Kudo is a scholar working on Radiological and Ultrasound Technology, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 91 papers that have together received 2.4k indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (17 papers), Radiation Dose and Imaging (16 papers) and Hemiptera Insect Studies (16 papers). The work is most often cited by research in Genetics (1.0k citations), Molecular Biology (1.4k citations) and Cognitive Neuroscience (382 citations). Shinichi Kudo has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Minoru Fukuda, Marie‐Geneviève Mattéi, Christopher A. Chapleau, Alan K. Percy, Lucas Pozzo‐Miller, Jennifer Larimore, Ann Rearden, Michiko N. Fukuda, Mitsuyoshi Nakao and Naoyuki Fujita. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

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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