U.S. Sorge

731 total citations
42 papers, 525 citations indexed

About

U.S. Sorge is a scholar working on Small Animals, Epidemiology and Agronomy and Crop Science. According to data from OpenAlex, U.S. Sorge has authored 42 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Small Animals, 14 papers in Epidemiology and 14 papers in Agronomy and Crop Science. Recurrent topics in U.S. Sorge's work include Mycobacterium research and diagnosis (14 papers), Milk Quality and Mastitis in Dairy Cows (11 papers) and Animal Behavior and Welfare Studies (11 papers). U.S. Sorge is often cited by papers focused on Mycobacterium research and diagnosis (14 papers), Milk Quality and Mastitis in Dairy Cows (11 papers) and Animal Behavior and Welfare Studies (11 papers). U.S. Sorge collaborates with scholars based in United States, Canada and Germany. U.S. Sorge's co-authors include D.F. Kelton, K. Lissemore, A. Godkin, S. Wells, S. Hendrick, Brad Heins, Laura Pieper, Roger D. Moon, R. Staufenbiel and T.J. DeVries and has published in prestigious journals such as Journal of Dairy Science, Sustainability and Veterinary Microbiology.

In The Last Decade

U.S. Sorge

41 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
U.S. Sorge United States 15 210 175 172 65 62 42 525
Robério Gomes Olinda Brazil 13 111 0.5× 198 1.1× 67 0.4× 77 1.2× 51 0.8× 67 580
Khaled M. Al‐Qudah Jordan 14 131 0.6× 59 0.3× 141 0.8× 40 0.6× 82 1.3× 29 487
Anne Braad Kudahl Denmark 12 188 0.9× 276 1.6× 103 0.6× 17 0.3× 68 1.1× 22 479
Willard C Losinger United States 13 204 1.0× 97 0.6× 138 0.8× 23 0.4× 107 1.7× 26 462
Liesel G. Schneider United States 11 56 0.3× 117 0.7× 209 1.2× 75 1.2× 67 1.1× 55 525
Antônio Carlos Lopes Câmara Brazil 10 85 0.4× 105 0.6× 98 0.6× 85 1.3× 56 0.9× 73 522
Animal Usa 5 224 1.1× 131 0.7× 244 1.4× 22 0.3× 110 1.8× 9 546
Steven van Winden United Kingdom 13 132 0.6× 180 1.0× 166 1.0× 18 0.3× 32 0.5× 40 501
Vladimir Polaček Serbia 11 49 0.2× 125 0.7× 103 0.6× 62 1.0× 44 0.7× 54 400
Karsten Donat Germany 14 144 0.7× 280 1.6× 198 1.2× 14 0.2× 72 1.2× 69 562

Countries citing papers authored by U.S. Sorge

Since Specialization
Citations

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

Fields of papers citing papers by U.S. Sorge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of U.S. Sorge

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

All Works

20 of 20 papers shown
1.
Sorge, U.S., et al.. (2023). Selektives Trockenstellen auf bayerischen Betrieben – eine Fallserie. Tierärztliche Praxis Ausgabe G Großtiere / Nutztiere. 51(3). 160–167.
2.
Petzl, Wolfram, et al.. (2023). Changes in antimicrobial resistance of Staphylococcus aureus in bovine quarter milk samples from southern Germany between 2012 and 2022. Journal of Dairy Science. 107(6). 3802–3812. 7 indexed citations
3.
Sorge, U.S., et al.. (2022). Apparent prevalence and risk factors for udder skin diseases and udder edema in Bavarian dairy herds. Journal of Dairy Science. 105(12). 9934–9943. 5 indexed citations
4.
Doherr, Marcus G., et al.. (2022). Sensitivity and Specificity for the Detection of Clinical Mastitis by Automatic Milking Systems in Bavarian Dairy Herds. Animals. 12(16). 2131–2131. 12 indexed citations
5.
6.
Heins, Brad, et al.. (2019). Short communication: Effects of mesh leggings on fly pressure and fly avoidance behaviors of pastured dairy cows. Journal of Dairy Science. 103(1). 846–851. 11 indexed citations
7.
Sorge, U.S., et al.. (2019). Short communication: Metagenomic evaluation of skin biopsies of udder sores in dairy cows. Journal of Dairy Science. 102(12). 11470–11475. 14 indexed citations
8.
Heins, Brad, et al.. (2018). Effects of winter housing systems on production, economics, body weight, body condition score, and bedding cultures for organic dairy cows. Journal of Dairy Science. 102(1). 706–714. 10 indexed citations
9.
Koenig, Judith, et al.. (2016). Clinical indications, complications, and long-term outcome of esophageal surgeries in 27 horses.. Europe PMC (PubMed Central). 57(12). 1257–1262. 5 indexed citations
10.
Sorge, U.S., et al.. (2016). Short communication: Iodine concentrations in serum, milk, and tears after feeding Ascophyllum nodosum to dairy cows—A pilot study. Journal of Dairy Science. 99(10). 8472–8476. 9 indexed citations
11.
Sorge, U.S., et al.. (2016). Management practices on organic and conventional dairy herds in Minnesota. Journal of Dairy Science. 99(4). 3183–3192. 33 indexed citations
12.
Koenig, Judith, et al.. (2015). Comparison of laparoscopic versus conventional open cryptorchidectomies on intraoperative and postoperative complications and duration of surgery, anesthesia, and hospital stay in horses. Journal of the American Veterinary Medical Association. 246(8). 885–892. 17 indexed citations
13.
Sorge, U.S., et al.. (2015). Parasites and parasite management practices of organic and conventional dairy herds in Minnesota. Journal of Dairy Science. 98(5). 3143–3151. 21 indexed citations
14.
Pieper, Laura, T.J. DeVries, U.S. Sorge, et al.. (2015). Variability in Risk Assessment and Management Plan (RAMP) scores completed as part of the Ontario Johne’s Education and Management Assistance Program(2010–2013). Journal of Dairy Science. 98(4). 2419–2426. 14 indexed citations
15.
Sorge, U.S., et al.. (2013). Detection of Mycobacterium avium subspecies paratuberculosis in the saliva of dairy cows: A pilot study. Veterinary Microbiology. 164(3-4). 383–386. 14 indexed citations
16.
17.
Sorge, U.S., K. Lissemore, A. Godkin, et al.. (2011). Changes in management practices and apparent prevalence on Canadian dairy farms participating in a voluntary risk assessment-based Johne's disease control program. Journal of Dairy Science. 94(10). 5227–5237. 23 indexed citations
18.
Sorge, U.S., D.F. Kelton, & R. Staufenbiel. (2008). Short Communication: Prepartal Concentration of Estradiol-17β in Heifers with Stillborn Calves. Journal of Dairy Science. 91(4). 1433–1437. 13 indexed citations
19.
Sorge, U.S., D.F. Kelton, K. Lissemore, William Sears, & John Fetrow. (2007). Evaluation of the Dairy Comp 305 Module “Cow Value” in Two Ontario Dairy Herds. Journal of Dairy Science. 90(12). 5784–5797. 11 indexed citations
20.
Sorge, U.S., D.F. Kelton, Jocelyn Jansen, A. Godkin, & Réjean Cantin. (2007). Association Between Paratuberculosis Milk ELISA Test Result and Milk Production and Breed in Dairy Cows. American Association of Bovine Practitioners Conference Proceedings. 228–228. 1 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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