Michael C. Abundo

416 citations
9 papers · 298 · h-index 8

Impact in

Papers in

    • Influenza Virus Research Studies 5
    • Respiratory viral infections research 4
    • Viral gastroenteritis research and epidemiology 4

Michael C. Abundo

9 papers receiving 294 citations

Peers

Michael C. Abundo
Comparison fields: 5 of 39
  • Animal Science and Zoology 152
  • Microbiology 40
  • Infectious Diseases 93
  • Food Science 65
  • Small Animals 25
Replace Tadele G. Kiros with:
Tadele G. Kiros Canada
Mahesh KC United States
Brian McComb United States
Nathalie Chanteloup France
Bingzhou Zhang China
Keith Ameiss United States
Karolína Varmužová Czechia
Paul Bogere South Korea
Emili Barba-Vidal Spain
Paola Papa Italy
Michael C. Abundo relative to Tadele G. Kiros Canada Tadele G. Kiros's profile →
Citations per field
00.5×1.7×
Tadele G. Kiros · 1×
Citations per year

Countries citing papers authored by Michael C. Abundo

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Abundo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Abundo. 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 Michael C. Abundo. The network helps show where Michael C. Abundo may publish in the future.

Co-authors

The 21 scholars most cited alongside Michael C. Abundo, 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 Michael C. Abundo Line = papers co-authored together Michael C. Abundo links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2018114
2 201981
3 201832
4 202022
5 201916
6 201910
7 202010
8 20197
9 20216

About Michael C. Abundo

Michael C. Abundo is a scholar working on Epidemiology, Infectious Diseases, Animal Science and Zoology, Molecular Biology and Small Animals, having authored 9 papers that have together received 298 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Respiratory viral infections research (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Animal Nutrition and Physiology (3 papers), Gut microbiota and health (2 papers), Animal Behavior and Welfare Studies (1 paper), Effects of Environmental Stressors on Livestock (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Animal Science and Zoology (152 citations), Microbiology (40 citations), Infectious Diseases (93 citations), Food Science (65 citations) and Small Animals (25 citations). Michael C. Abundo has collaborated with scholars based in United States and Egypt. Frequent co-authors include John M. Ngunjiri, Chang Won Lee, Timothy J. Johnson, Amir Ghorbani, Mohamed Elaish, Mahesh KC, Hyesun Jang, Sally Noll, Carol J. Cardona and Kara Taylor. Their work appears in journals such as Applied and Environmental Microbiology, Vaccine, PeerJ, Journal of Virology and Veterinary Microbiology.

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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