Danielle A. Mzyk

439 citations
17 papers · 319 · h-index 7

Impact in

Papers in

    • Antibiotics Pharmacokinetics and Efficacy 7
    • Inflammatory mediators and NSAID effects 5
    • Animal health and immunology 5
    • Veterinary Pharmacology and Anesthesia 2

Danielle A. Mzyk

15 papers receiving 306 citations

Peers

Danielle A. Mzyk
Comparison fields: 5 of 69
  • Animal Science and Zoology 89
  • Pollution 81
  • Molecular Medicine 29
  • Microbiology 36
  • Food Science 102
Replace Lindsey W. Kissell with:
Lindsey W. Kissell United States
Tara Marmulak United States
Sijun Zhao China
Rongwei Han China
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Danielle A. Mzyk relative to Lindsey W. Kissell United States Lindsey W. Kissell's profile →
Citations per field
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Citations per year

Countries citing papers authored by Danielle A. Mzyk

Since Specialization
Citations

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

Fields of papers citing papers by Danielle A. Mzyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle A. Mzyk. 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 Danielle A. Mzyk. The network helps show where Danielle A. Mzyk may publish in the future.

Co-authors

The 22 scholars most cited alongside Danielle A. Mzyk, 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 Danielle A. Mzyk Line = papers co-authored together Danielle A. Mzyk links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2016232
2 201716
3 201914
4 201611
5 20199
6 20189
7 20188
8 20185
9 20185
10 20175
11 20171
12 20241
13 20241
14 20231
15 20211
16 20250
17 20190

About Danielle A. Mzyk

Danielle A. Mzyk is a scholar working on Pharmacology, Small Animals, Microbiology, Animal Science and Zoology and Agronomy and Crop Science, having authored 17 papers that have together received 319 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (7 papers), Inflammatory mediators and NSAID effects (5 papers), Animal health and immunology (5 papers), Microbial infections and disease research (5 papers), Coccidia and coccidiosis research (3 papers), Reproductive Physiology in Livestock (3 papers), Veterinary Pharmacology and Anesthesia (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Animal Science and Zoology (89 citations), Pollution (81 citations), Molecular Medicine (29 citations), Microbiology (36 citations) and Food Science (102 citations). Danielle A. Mzyk has collaborated with scholars based in United States. Frequent co-authors include Ronald E. Baynes, Geoffrey Smith, Jennifer L. Davis, Jim E. Riviere, Lisa A. Tell, Ronette Gehring, Tara Marmulak, Keith D. DeDonder, Lindsey W. Kissell and Marilyn N. Martinez. Their work appears in journals such as Journal of the American Veterinary Medical Association, Small Ruminant Research, Journal of Veterinary Pharmacology and Therapeutics, Frontiers in Veterinary Science and Food and Chemical Toxicology.

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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