Michael Gonda

654 citations
32 papers · 490 · h-index 11

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 9
    • Reproductive Physiology in Livestock 5
    • Ruminant Nutrition and Digestive Physiology 3
    • Animal Disease Management and Epidemiology 2

Michael Gonda

26 papers receiving 474 citations

Peers

Michael Gonda
Comparison fields: 5 of 79
  • Agronomy and Crop Science 138
  • Small Animals 73
  • Epidemiology 200
  • Animal Science and Zoology 37
  • Microbiology 21
Replace Jérôme Lecardonnel with:
Jérôme Lecardonnel France
Hiromu Katamoto Japan
Matthew L. Turner United Kingdom
Mounir Adnane Algeria
Bernd Hoffmann Germany
Elizabeth Moreira dos Santos Schmidt Brazil
Curtis R. Youngs United States
Jacopo Guccione Italy
Karina Keller Marques da Costa Flaiban Brazil
Bhuminand Devkota Nepal
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Citations per field
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Citations per year

Countries citing papers authored by Michael Gonda

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gonda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200694
2 200774
3 200756
4 201855
5 200430
6 199829
7 201620
8 200819
9 201518
10 201118
11 201215
12 201210
13
Molecular and Quantitative Animal Genetics
201510
14 20128
15 20198
16 20225
17 19945
18 20205
19 20214
20 20251

About Michael Gonda

Michael Gonda is a scholar working on Genetics, Agronomy and Crop Science, Animal Science and Zoology, Molecular Biology and Epidemiology, having authored 32 papers that have together received 490 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (9 papers), Effects of Environmental Stressors on Livestock (5 papers), Reproductive Physiology in Livestock (5 papers), Ruminant Nutrition and Digestive Physiology (3 papers), Meat and Animal Product Quality (3 papers), Mycobacterium research and diagnosis (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Agronomy and Crop Science (138 citations), Small Animals (73 citations), Epidemiology (200 citations), Animal Science and Zoology (37 citations) and Microbiology (21 citations). Michael Gonda has collaborated with scholars based in United States, South Africa and Japan. Frequent co-authors include Brian Kirkpatrick, G.E. Shook, Michael T. Collins, Yu‐Ming Chang, Benoit St‐Pierre, J. Arias, A.E. Wertz-Lutz, Peter L. Mente, M.S. Ashwell and A. D. Blair. Their work appears in journals such as Journal of Animal Science, Animal Genetics, Animals, BMC Microbiology and Theriogenology.

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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