Sunitha Joseph

1.1k citations
52 papers · 754 · h-index 16

Impact in

Papers in

    • Viral Infections and Vectors 11
    • SARS-CoV-2 and COVID-19 Research 7
    • Influenza Virus Research Studies 6
    • Virology and Viral Diseases 5

Sunitha Joseph

47 papers receiving 737 citations

Peers

Sunitha Joseph
Comparison fields: 5 of 57
  • Infectious Diseases 302
  • Animal Science and Zoology 150
  • Agronomy and Crop Science 145
  • Parasitology 47
  • Epidemiology 205
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Ivan Toplak Slovenia
Daniel Oladimeji Oluwayelu Nigeria
Mariá Isabel Craig Argentina
Dan David Israel
Sophie Gryseels Belgium
Florian Pfaff Germany
Gian Luca Autorino Italy
Sílvia C. Barros Portugal
Eda Altan United States
Ariel Pereda Argentina
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Citations per field
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Citations per year

Countries citing papers authored by Sunitha Joseph

Since Specialization
Citations

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

Fields of papers citing papers by Sunitha Joseph

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201680
2 201575
3 201858
4 201851
5 201351
6 201348
7 201530
8 201928
9 201527
10 201826
11 201526
12 201623
13 201621
14 201619
15 200815
16 201215
17 201715
18 201313
19 202112
20 201611

About Sunitha Joseph

Sunitha Joseph is a scholar working on Infectious Diseases, Epidemiology, Animal Science and Zoology, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics, having authored 52 papers that have together received 754 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (14 papers), Animal Virus Infections Studies (14 papers), Viral Infections and Vectors (11 papers), Vector-Borne Animal Diseases (10 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Influenza Virus Research Studies (6 papers), Virology and Viral Diseases (5 papers) and Chromosomal and Genetic Variations (5 papers). The work is most often cited by research in Infectious Diseases (302 citations), Animal Science and Zoology (150 citations), Agronomy and Crop Science (145 citations), Parasitology (47 citations) and Epidemiology (205 citations). Sunitha Joseph has collaborated with scholars based in United Arab Emirates, Hong Kong and Germany. Frequent co-authors include U. Wernery, Darren K. Griffin, Denis M. Larkin, Rebecca E. O’Connor, Patrick C. Y. Woo, Renate Wernery, Susanna K. P. Lau, Joana Damas, Marta Farré and Rebecca Jennings. Their work appears in journals such as Journal of General Virology, Viruses, Journal of Equine Veterinary Science, Emerging Microbes & Infections and Medical Mycology.

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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