Chris Siepker

958 citations
13 papers · 508 · 2 hit papers · h-index 8

Impact in

Papers in

Chris Siepker

12 papers receiving 487 citations

Chris Siepker's Hit Papers

Highly Pathogenic Avian Influenza A(H5N1) Clade 2.3.4.4b Virus Infection in Domestic Dairy Cattle and Cats, United States, 2024 2024 · 269 citations
2690+1Years since publication50100150200250

Peers

Chris Siepker
Comparison fields: 5 of 49
  • Agronomy and Crop Science 179
  • Infectious Diseases 241
  • Epidemiology 301
  • Endocrinology 34
  • Animal Science and Zoology 49
Replace Binu T. Velayudhan with:
Binu T. Velayudhan United States
Ilias Bouzalas Greece
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Citations per field
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Citations per year

Countries citing papers authored by Chris Siepker

Since Specialization
Citations

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

Fields of papers citing papers by Chris Siepker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Highly Pathogenic Avian Influenza A(H5N1) Clade 2.3.4.4b Virus Infection in Domestic Dairy Cattle and Cats, United States, 2024
Hit paper breakdown →
2024269
2
Sialic Acid Receptor Specificity in Mammary Gland of Dairy Cattle Infected with Highly Pathogenic Avian Influenza A(H5N1) Virus
Hit paper breakdown →
202447
3 201645
4 201643
5 201735
6 202435
7 202016
8 20199
9 20215
10 20242
11 20211
12 20201
13 20250

About Chris Siepker

Chris Siepker is a scholar working on Infectious Diseases, Epidemiology, Agronomy and Crop Science, Molecular Biology and Animal Science and Zoology, having authored 13 papers that have together received 508 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (6 papers), Influenza Virus Research Studies (4 papers), Animal Disease Management and Epidemiology (3 papers), Prion Diseases and Protein Misfolding (2 papers), Microbial infections and disease research (2 papers), Neurological diseases and metabolism (2 papers), Animal Virus Infections Studies (2 papers) and Toxoplasma gondii Research Studies (1 paper). The work is most often cited by research in Agronomy and Crop Science (179 citations), Infectious Diseases (241 citations), Epidemiology (301 citations), Endocrinology (34 citations) and Animal Science and Zoology (49 citations). Chris Siepker has collaborated with scholars based in United States and Canada. Frequent co-authors include Drew R. Magstadt, Eric Burrough, Marta Mainenti, Paul J. Plummer, Jianqiang Zhang, Patrick J. Gorden, Phillip C. Gauger, Ganwu Li, Alexis C. Thompson and Rodger Main. Their work appears in journals such as Journal of Clinical Microbiology, Viruses, Journal of the American Veterinary Medical Association, Emerging infectious diseases and Veterinary Pathology.

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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