Rubén O. Donis

24.7k citations
190 papers · 12.9k indexed · 5 hit papers · h-index 62
Topics
Influenza Virus Research Studies (125 papers)Animal Disease Management and Epidemiology (100 papers)Viral gastroenteritis research and epidemiology (57 papers)

In The Last Decade

Rubén O. Donis

188 papers receiving 12.5k citations

Hit Papers

Generation of influenza A viruses entirely from cloned cDNAs1999202620082017199920092005201520222505007501000

Peers

Rubén O. Donis
Comparison fields: 5 of 138
  • Epidemiology 8.6k
  • Agronomy and Crop Science 5.0k
  • Infectious Diseases 4.6k
  • Immunology 3.1k
  • Molecular Biology 2.4k
Replace Hiroshi Kida with:
Hiroshi Kida Japan
Ayato Takada Japan
Thomas M. Chambers United States
Gabriele Neumann United States
Zhigao Bu China
Daniel R. Pérez United States
Dennis A. Senne United States
Hans‐Dieter Klenk Germany
John W. McCauley United Kingdom
Terrence M. Tumpey United States
Rubén O. Donis relative to Hiroshi Kida Japan Hiroshi Kida's profile →
Citations per field
00.5×1.5×
Hiroshi Kida · 1×
Citations per year

Countries citing papers authored by Rubén O. Donis

Since Specialization
Citations

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

Fields of papers citing papers by Rubén O. Donis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rubén O. Donis. 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 Rubén O. Donis. The network helps show where Rubén O. Donis may publish in the future.

Co-authorship network of co-authors of Rubén O. Donis

This figure shows the co-authorship network connecting the top 25 collaborators of Rubén O. Donis. A scholar is included among the top collaborators of Rubén O. Donis 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 Rubén O. Donis. Rubén O. Donis 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 6
2 15
3 59
4 144
5 6
6 37
7 38
8 104
9 51
10 128
11 80
12 21
13 24
14 12
15 50
16
RNA secondary structure prediction with simple pseudoknots
10
17 7
18 116
19 82
20 4

About Rubén O. Donis

Rubén O. Donis is a scholar working on Agronomy and Crop Science, Infectious Diseases and Epidemiology, having authored 190 papers that have together received 12.9k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (125 papers), Animal Disease Management and Epidemiology (100 papers) and Viral gastroenteritis research and epidemiology (57 papers). The work is most often cited by research in Agronomy and Crop Science (5.0k citations), Infectious Diseases (4.6k citations) and Epidemiology (8.6k citations). Rubén O. Donis has collaborated with scholars based in United States, Vietnam and United Kingdom. Frequent co-authors include Edward J. Dubovi, Daniel R. Pérez, Nancy J. Cox, Jacqueline M. Katz, Li-Mei Chen, Wayne V. Corapi, C. Todd Davis, Yoshihiro Kawaoka, James Stevens and Gavin J. D. Smith. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

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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