Karen M. Young

2.5k total citations
77 papers, 1.8k citations indexed

About

Karen M. Young is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Karen M. Young has authored 77 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 11 papers in Surgery and 11 papers in Molecular Biology. Recurrent topics in Karen M. Young's work include Veterinary Oncology Research (8 papers), Microbial infections and disease research (7 papers) and Immune Response and Inflammation (5 papers). Karen M. Young is often cited by papers focused on Veterinary Oncology Research (8 papers), Microbial infections and disease research (7 papers) and Immune Response and Inflammation (5 papers). Karen M. Young collaborates with scholars based in United States, United Kingdom and Australia. Karen M. Young's co-authors include Peggy M. Foegeding, Charles J. Czuprynski, Corey Rosen, Robert T. O’Brien, Kristen R. Friedrichs, Anthony T. Blikslager, R S Kurtz, Mary Ellen Perry, Kathleen A. O’Leary and Matthew K. McElwee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Academy of Management Review and The Journal of Immunology.

In The Last Decade

Karen M. Young

74 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen M. Young United States 25 379 326 267 225 202 77 1.8k
Paul J. Edelson United States 31 551 1.5× 235 0.7× 131 0.5× 744 3.3× 142 0.7× 104 3.1k
David Gould United Kingdom 23 494 1.3× 160 0.5× 139 0.5× 166 0.7× 133 0.7× 86 2.1k
Juan Zhang China 19 454 1.2× 458 1.4× 107 0.4× 190 0.8× 81 0.4× 96 1.7k
Roderick A. McDonald United States 29 341 0.9× 227 0.7× 189 0.7× 685 3.0× 108 0.5× 90 3.2k
Carrie Arnold United States 21 643 1.7× 257 0.8× 102 0.4× 1.1k 4.7× 270 1.3× 102 2.3k
Douglas Millar Australia 18 839 2.2× 228 0.7× 133 0.5× 59 0.3× 147 0.7× 24 1.5k
Yu‐Ching Su Sweden 20 321 0.8× 116 0.4× 133 0.5× 210 0.9× 79 0.4× 49 1.3k
Jung‐Wook Kim South Korea 23 836 2.2× 174 0.5× 262 1.0× 149 0.7× 506 2.5× 120 2.3k
Christian Moser Germany 37 1.5k 3.9× 488 1.5× 217 0.8× 975 4.3× 167 0.8× 109 4.0k
Michael W. Graham Australia 29 2.6k 6.8× 178 0.5× 148 0.6× 209 0.9× 224 1.1× 71 4.0k

Countries citing papers authored by Karen M. Young

Since Specialization
Citations

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

Fields of papers citing papers by Karen M. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen M. Young. 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 Karen M. Young. The network helps show where Karen M. Young may publish in the future.

Co-authorship network of co-authors of Karen M. Young

This figure shows the co-authorship network connecting the top 25 collaborators of Karen M. Young. A scholar is included among the top collaborators of Karen M. Young 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 Karen M. Young. Karen M. Young 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.
Young, Karen M., Yuval A. Patel, Benson M. Hoffman, et al.. (2024). Alcohol Relapse After Liver Transplantation: Risk Factors, Outcomes, and a Comparison of Risk Stratification Models. SHILAP Revista de lepidopterología. 4(1). 100550–100550. 1 indexed citations
2.
Hartmann, Faye A., et al.. (2019). Mucoid Pseudomonas aeruginosa infection in a cat with severe chronic rhinosinusitis. Veterinary Clinical Pathology. 48(2). 300–304. 8 indexed citations
3.
Smith, Paul, et al.. (2013). “PhacoTracking”. JAMA Ophthalmology. 131(5). 659–659. 29 indexed citations
4.
Nighot, Prashant K., Karen M. Young, Meghali Nighot, et al.. (2013). Chloride Channel ClC-2 is a Key Factor in the Development of DSS-induced Murine Colitis. Inflammatory Bowel Diseases. 19(13). 2867–2877. 26 indexed citations
5.
Kidd, Linda, et al.. (2010). Clinical Presentation of 26 Anaplasma phagocytophilum-Seropositive Dogs Residing in an Endemic Area. Journal of the American Animal Hospital Association. 46(6). 405–412. 26 indexed citations
6.
Eley, Karen A., Helen Witherow, Richard Hayward, et al.. (2009). The Evaluation of Bony Union After Frontofacial Distraction. Journal of Craniofacial Surgery. 20(2). 275–278. 5 indexed citations
7.
Mendrysa, Susan M., et al.. (2002). mdm2 Is Critical for Inhibition of p53 during Lymphopoiesis and the Response to Ionizing Irradiation. Molecular and Cellular Biology. 23(2). 462–472. 197 indexed citations
8.
Young, Karen M., et al.. (2002). An Analysis of Reading and Content Area Skills Improvement through Music Instruction.. Reading improvement. 39(3). 114. 8 indexed citations
9.
Young, Karen M., et al.. (2001). Immunophenotypic Classification of Leukemia in 3 Horses. Journal of Veterinary Internal Medicine. 15(2). 144–144. 2 indexed citations
10.
McClure, J. Trenton, et al.. (2001). Immunophenotypic Classification of Leukemia in 3 Horses. Journal of Veterinary Internal Medicine. 15(2). 144–152. 18 indexed citations
11.
Murphy, Christopher J., et al.. (1999). Usefulness of aerobic microbial culture and cytologic evaluation of corneal specimens in the diagnosis of infectious ulcerative keratitis in animals. Journal of the American Veterinary Medical Association. 215(11). 1671–1674. 32 indexed citations
12.
O’Brien, Robert T., et al.. (1999). Pancreatic Pseudocysts in 4 Dogs and 2 Cats: Ultrasonographic and Clinicopathologic Findings. Journal of Veterinary Internal Medicine. 13(4). 309–313. 40 indexed citations
13.
Young, Karen M., et al.. (1999). Equine Granulocytic Ehrlichiosis: A Case Report with DNA Analysis and Species Comparison. Veterinary Clinical Pathology. 28(4). 127–130. 4 indexed citations
14.
O’Brien, Robert T., et al.. (1999). Pancreatic Pseudocysts in 4 Dogs and 2 Cats: Ultrasonographic and Clinicopathologic Findings. Journal of Veterinary Internal Medicine. 13(4). 309–309. 4 indexed citations
15.
O’Brien, Robert T., et al.. (1998). Ultrasound-Guided Fine-Needle Aspiration of Focal Parenchymal Lesions of the Lung in Dogs and Cats. Journal of Veterinary Internal Medicine. 12(5). 338–342. 36 indexed citations
16.
Rosen, Corey & Karen M. Young. (1991). Understanding Employee Ownership. Cornell University Press eBooks. 14 indexed citations
17.
Czuprynski, Charles J., J F Brown, Karen M. Young, A. James Cooley, & R S Kurtz. (1988). Effects of murine recombinant interleukin 1 alpha on the host response to bacterial infection.. The Journal of Immunology. 140(3). 962–968. 89 indexed citations
18.
Rosen, Corey, et al.. (1988). Employee Ownership in America: The Equity Solution.. Industrial and Labor Relations Review. 41(2). 325–325. 62 indexed citations
19.
Rosen, Corey, et al.. (1987). Employee Ownership in America: The Equity Solution. Academy of Management Review. 12(2). 389–389. 56 indexed citations
20.
Young, Karen M., et al.. (1980). Medicare episodes of illnesses: a study of hospital, skilled nursing facility, and home health agency care.. PubMed. 2(2). 1–23. 6 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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