Andrew S. Hess

523 total citations
20 papers, 289 citations indexed

About

Andrew S. Hess is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Andrew S. Hess has authored 20 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 10 papers in Animal Science and Zoology and 8 papers in Agronomy and Crop Science. Recurrent topics in Andrew S. Hess's work include Genetic and phenotypic traits in livestock (9 papers), Animal Virus Infections Studies (8 papers) and Animal Disease Management and Epidemiology (5 papers). Andrew S. Hess is often cited by papers focused on Genetic and phenotypic traits in livestock (9 papers), Animal Virus Infections Studies (8 papers) and Animal Disease Management and Epidemiology (5 papers). Andrew S. Hess collaborates with scholars based in United States, Canada and United Kingdom. Andrew S. Hess's co-authors include Dorian J. Garrick, Jack C. M. Dekkers, Joan K. Lunney, Raymond R. R. Rowland, Tom Druet, Graham Plastow, Andrea Doeschl‐Wilson, Christopher K. Tuggle, Emily H. Waide and I. Kyriazakis and has published in prestigious journals such as PLoS ONE, Journal of Animal Science and Journal of Zoology.

In The Last Decade

Andrew S. Hess

16 papers receiving 280 citations

Peers

Andrew S. Hess

GENET

ASZ

ACS

EEBS

Cindy K. Harper South Africa

Panoraia Alexandri Greece

E. Pieragostini Italy

Raúl Ullóa-Arvízu Mexico

Ruth Appeltant Belgium

C. L. Tawah Cameroon

Smaragda Tsairidou United Kingdom

B. Wickham Ireland

C. R. Marcondes Brazil

A Gregory United Kingdom

Cindy K. Harper South Africa

Andrew S. Hess

162 ×0.9

GENET

45 ×0.4

ASZ

45 ×0.5

ACS

55 ×0.8

38 ×1.0

EEBS

Citations per year, relative to Andrew S. Hess Andrew S. Hess (= 1×) peers Cindy K. Harper

Countries citing papers authored by Andrew S. Hess

Since Specialization

Citations

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

Fields of papers citing papers by Andrew S. Hess

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew S. Hess. 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 Andrew S. Hess. The network helps show where Andrew S. Hess may publish in the future.

Co-authorship network of co-authors of Andrew S. Hess

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew S. Hess. A scholar is included among the top collaborators of Andrew S. Hess based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew S. Hess. Andrew S. Hess is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Brito, Luiz F., et al.. (2024). 216 Using GPS collars and vaginal temperature sensors for characterizing rangeland usage and climatic stress in sheep. Journal of Animal Science. 102(Supplement_3). 402–403.

Murphy, Thomas W, et al.. (2024). Impacts of birth season and production system on gastrointestinal parasitism and growth in Katahdin lambs. Translational Animal Science. 8. txae174–txae174. 1 indexed citations

Karl, Jason W., et al.. (2023). 150 Repeatability of Rangeland Behavioral and Social Traits Derived from Gps Collars. Journal of Animal Science. 101(Supplement_3). 42–43.

Dong, Qian, Joan K. Lunney, Kyu‐Sang Lim, et al.. (2021). Gene expression in tonsils in swine following infection with porcine reproductive and respiratory syndrome virus. BMC Veterinary Research. 17(1). 88–88. 13 indexed citations

Dodds, K. G., Stephen Byrne, Marty J. Faville, et al.. (2021). snpGBS: A Simple and Flexible Bioinformatics Workflow to Identify SNPs from Genotyping-by-Sequencing Data. 67–70.

Rowe, Suzanne J., Tracey C. van Stijn, Hannah Henry, et al.. (2020). A restriction enzyme reduced representation sequencing approach for low-cost, high-throughput metagenome profiling. PLoS ONE. 15(4). e0219882–e0219882. 20 indexed citations

Rowe, Suzanne J., Tracey C. van Stijn, Rüdiger Bräuning, et al.. (2018). High-throughput rumen microbial profiling using genotyping-by-sequencing. Proceedings of the World Congress on Genetics Applied to Livestock Production. 331. 2 indexed citations

Waide, Emily H., Christopher K. Tuggle, Nick V. L. Serão, et al.. (2018). Genomic prediction of piglet response to infection with one of two porcine reproductive and respiratory syndrome virus isolates. Genetics Selection Evolution. 50(1). 3–3. 9 indexed citations

Hess, Andrew S., Rodney D. Roberts, Nick King, et al.. (2018). Genotyping-by-sequencing for the Greenshell mussel industry. Proceedings of the World Congress on Genetics Applied to Livestock Production. 463. 2 indexed citations

10.

Hess, Andrew S., Oswald Matika, Joan K. Lunney, et al.. (2018). Harnessing longitudinal information to identify genetic variation in tolerance of pigs to Porcine Reproductive and Respiratory Syndrome virus infection. Genetics Selection Evolution. 50(1). 50–50. 14 indexed citations

11.

Hess, Andrew S., Joan K. Lunney, Igseo Choi, et al.. (2018). Identification of factors associated with virus level in tonsils of pigs experimentally infected with porcine reproductive and respiratory syndrome virus1. Journal of Animal Science. 97(2). 536–547. 9 indexed citations

12.

Hess, Andrew S., et al.. (2018). Genetic relationships of antibody response, viremia level, and weight gain in pigs experimentally infected with porcine reproductive and respiratory syndrome virus1. Journal of Animal Science. 96(9). 3565–3581. 12 indexed citations

13.

Kyriazakis, I., Jack C. M. Dekkers, Andrew S. Hess, et al.. (2017). Use of multi-trait and random regression models to identify genetic variation in tolerance to porcine reproductive and respiratory syndrome virus. Genetics Selection Evolution. 49(1). 37–37. 34 indexed citations

14.

Druet, Tom, et al.. (2017). Fixed-length haplotypes can improve genomic prediction accuracy in an admixed dairy cattle population. Genetics Selection Evolution. 49(1). 54–54. 44 indexed citations

15.

Waide, Emily H., Christopher K. Tuggle, Nick V. L. Serão, et al.. (2017). Genomewide association of piglet responses to infection with one of two porcine reproductive and respiratory syndrome virus isolates1. Journal of Animal Science. 95(1). 16–38. 28 indexed citations

16.

Hess, Andrew S., Raymond R. R. Rowland, Joan K. Lunney, et al.. (2016). Comparison of host genetic factors influencing pig response to infection with two North American isolates of porcine reproductive and respiratory syndrome virus. Genetics Selection Evolution. 48(1). 43–43. 36 indexed citations

17.

Hess, Andrew S., et al.. (2016). The Effect of Calf Gender on Milk Production in Seasonal Calving Cows and Its Impact on Genetic Evaluations. PLoS ONE. 11(3). e0151236–e0151236. 25 indexed citations

18.

Hess, Andrew S., et al.. (2015). Salamanders increase their feeding activity when infected with the pathogenic chytrid fungus Batrachochytrium dendrobatidis. Diseases of Aquatic Organisms. 116(3). 205–212. 11 indexed citations

19.

Venesky, Matthew D., et al.. (2015). Morph‐specific differences in disease prevalence and pathogen‐induced mortality in a terrestrial polymorphic salamander. Journal of Zoology. 295(4). 279–285. 26 indexed citations

20.

Hess, Andrew S.. (1969). Two cases of milk fever in cows after oestrus.. PubMed. 10(12). 317–8. 3 indexed citations

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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