Marlin Hoogland

637 total citations
8 papers, 472 citations indexed

About

Marlin Hoogland is a scholar working on Infectious Diseases, Animal Science and Zoology and Genetics. According to data from OpenAlex, Marlin Hoogland has authored 8 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Animal Science and Zoology and 4 papers in Genetics. Recurrent topics in Marlin Hoogland's work include Viral gastroenteritis research and epidemiology (7 papers), Animal Virus Infections Studies (7 papers) and Virus-based gene therapy research (4 papers). Marlin Hoogland is often cited by papers focused on Viral gastroenteritis research and epidemiology (7 papers), Animal Virus Infections Studies (7 papers) and Virus-based gene therapy research (4 papers). Marlin Hoogland collaborates with scholars based in United States. Marlin Hoogland's co-authors include Rodger Main, Patrick G. Halbur, Jeffrey J. Zimmerman, Kyoung‐Jin Yoon, Chong Wang, Phillip C. Gauger, Karen M. Harmon, John Prickett, Chris Rademacher and Tanja Opriessnig and has published in prestigious journals such as Veterinary Microbiology, Preventive Veterinary Medicine and Veterinary Pathology.

In The Last Decade

Marlin Hoogland

7 papers receiving 458 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marlin Hoogland United States 7 385 329 216 94 81 8 472
Wayne Chittick United States 8 296 0.8× 249 0.8× 180 0.8× 56 0.6× 65 0.8× 11 351
G. G. Labarque Belgium 9 507 1.3× 424 1.3× 330 1.5× 56 0.6× 75 0.9× 13 570
Yaowalak Panyasing United States 12 238 0.6× 211 0.6× 100 0.5× 54 0.6× 137 1.7× 17 354
Chris Olsen United States 9 226 0.6× 202 0.6× 113 0.5× 40 0.4× 79 1.0× 12 337
Katarzyna Podgórska Poland 13 479 1.2× 429 1.3× 317 1.5× 102 1.1× 109 1.3× 38 574
Ikjae Kang South Korea 14 623 1.6× 532 1.6× 419 1.9× 114 1.2× 41 0.5× 47 680
Mireille Le Dimna France 15 512 1.3× 451 1.4× 275 1.3× 232 2.5× 225 2.8× 29 696
Rodney B. Baker United States 12 529 1.4× 428 1.3× 355 1.6× 149 1.6× 35 0.4× 23 645
Roongtham Kedkovid Thailand 15 536 1.4× 415 1.3× 390 1.8× 137 1.5× 123 1.5× 28 636
Josefina Quintana Spain 11 407 1.1× 373 1.1× 258 1.2× 130 1.4× 25 0.3× 11 600

Countries citing papers authored by Marlin Hoogland

Since Specialization
Citations

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

Fields of papers citing papers by Marlin Hoogland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marlin Hoogland

This figure shows the co-authorship network connecting the top 25 collaborators of Marlin Hoogland. A scholar is included among the top collaborators of Marlin Hoogland 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 Marlin Hoogland. Marlin Hoogland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Rotolo, Marisa, Yaxuan Sun, Chong Wang, et al.. (2017). Sampling guidelines for oral fluid-based surveys of group-housed animals. Veterinary Microbiology. 209. 20–29. 50 indexed citations
2.
Rotolo, Marisa, Chris Olsen, Chong Wang, et al.. (2014). Recommendations for pen-based oral-fluid collection in growing pigs. Journal of Swine Health and Production. 22(3). 138–141. 25 indexed citations
3.
Li, Ganwu, Qi Chen, Karen M. Harmon, et al.. (2014). Full-Length Genome Sequence of Porcine Deltacoronavirus Strain USA/IA/2014/8734. Genome Announcements. 2(2). 106 indexed citations
4.
Kittawornrat, Apisit, John Prickett, Chong Wang, et al.. (2012). Detection of Porcine reproductive and respiratory syndrome virus (PRRSV) antibodies in oral fluid specimens using a commercial PRRSV serum antibody enzyme-linked immunosorbent assay. Journal of Veterinary Diagnostic Investigation. 24(2). 262–269. 62 indexed citations
5.
Ramirez, Alejandro, Chong Wang, John Prickett, et al.. (2011). Efficient surveillance of pig populations using oral fluids. Preventive Veterinary Medicine. 104(3-4). 292–300. 103 indexed citations
6.
Wang, Chong, John Prickett, Marlin Hoogland, et al.. (2010). Probability of detecting a singleton PRRSV viremic pig using pen-based oral fluid samples. University of Minnesota Digital Conservancy (University of Minnesota).
7.
Hoogland, Marlin, et al.. (2006). Effects of adjuvants on porcine circovirus type 2-associated lesions. Journal of Swine Health and Production. 14(3). 133–139. 27 indexed citations
8.
Opriessnig, Tanja, Martijn Fenaux, P. John Thomas, et al.. (2006). Evidence of Breed-dependent Differences in Susceptibility to Porcine Circovirus Type-2-associated Disease and Lesions. Veterinary Pathology. 43(3). 281–293. 99 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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