Nobutaka Kato

3.3k citations
25 papers · 1.2k indexed · h-index 17

Nobutaka Kato

25 papers receiving 1.2k citations

Peers

Nobutaka Kato
Comparison fields: 5 of 81
  • Public Health, Environmental and Occupational Health 603
  • Computational Theory and Mathematics 254
  • Parasitology 83
  • Insect Science 126
  • Organic Chemistry 260
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Lyn‐Marié Birkholtz South Africa
Norma Roncal United States
Jacob D. Johnson United States
P. G. Bray United Kingdom
Selina Bopp United States
Winston E. Gutteridge United Kingdom
Laura M. Sanz Spain
Bärbel Bergmann Germany
Mark E. Drew United States
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Citations per year

Countries citing papers authored by Nobutaka Kato

Since Specialization
Citations

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

Fields of papers citing papers by Nobutaka Kato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202124
2 202049
3 20206
4 201942
5 20183
6 201849
7 2017105
8 201655
9 2015110
10 201430
11 201169
12 2008325
13 200865
14 200823
15 200716
16 200514
17 200571
18 200513
19 200252
20
Expression of major histocompatibility antigens and vascular adhesion molecules on human cardiac allografts preserved in University of Wisconsin solution.
199416

About Nobutaka Kato

Nobutaka Kato is a scholar working on Public Health, Environmental and Occupational Health, Computational Theory and Mathematics and Infectious Diseases, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Malaria Research and Control (12 papers), Computational Drug Discovery Methods (7 papers), HIV/AIDS drug development and treatment (7 papers), Insect symbiosis and bacterial influences (4 papers), Mosquito-borne diseases and control (3 papers), Studies on Chitinases and Chitosanases (3 papers), Catalytic C–H Functionalization Methods (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (603 citations), Computational Theory and Mathematics (254 citations) and Parasitology (83 citations). Nobutaka Kato has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Bruce M. Christensen, Elizabeth A. Winzeler, David Plouffe, Stuart L. Schreiber, Christopher R. Mueller, Case W. McNamara, Micah Maetani, Kelli Kuhen, Yingyao Zhou and Eamon Comer. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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