Marc E. Salute

526 total citations
21 papers, 376 citations indexed

About

Marc E. Salute is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Small Animals. According to data from OpenAlex, Marc E. Salute has authored 21 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 7 papers in Genetics and 5 papers in Small Animals. Recurrent topics in Marc E. Salute's work include Veterinary Oncology Research (9 papers), Virus-based gene therapy research (7 papers) and Parasitic Diseases Research and Treatment (3 papers). Marc E. Salute is often cited by papers focused on Veterinary Oncology Research (9 papers), Virus-based gene therapy research (7 papers) and Parasitic Diseases Research and Treatment (3 papers). Marc E. Salute collaborates with scholars based in United States, Switzerland and Chile. Marc E. Salute's co-authors include Rowan J. Milner, Patti S. Snyder, Julie K. Levy, James P. Farese, Kelvin Kow, Nicholas J. Bacon, P J Smail, Dietmar W. Siemann, Paul Kubilis and C. Crawford and has published in prestigious journals such as Cancer Immunology Research, Journal of the American Veterinary Medical Association and Journal of Veterinary Internal Medicine.

In The Last Decade

Marc E. Salute

20 papers receiving 367 citations

Peers

Marc E. Salute
Astrid Voskamp Australia
Elena B. Lugli United Kingdom
Natalie Antinoff United States
James A. Perry United States
Daniel Cochrane United Kingdom
M. Julia B. Felippe United States
Graeme Cowan United Kingdom
Astrid Voskamp Australia
Marc E. Salute
Citations per year, relative to Marc E. Salute Marc E. Salute (= 1×) peers Astrid Voskamp

Countries citing papers authored by Marc E. Salute

Since Specialization
Citations

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

Fields of papers citing papers by Marc E. Salute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc E. Salute. 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 Marc E. Salute. The network helps show where Marc E. Salute may publish in the future.

Co-authorship network of co-authors of Marc E. Salute

This figure shows the co-authorship network connecting the top 25 collaborators of Marc E. Salute. A scholar is included among the top collaborators of Marc E. Salute 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 Marc E. Salute. Marc E. Salute 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.
Spicer, Timothy, et al.. (2025). Multimodal Treatment of a Peripheral Primitive Neuroectodermal Tumor Originating From the Thoracic Cavity in a Dog. Journal of Veterinary Internal Medicine. 39(2). e70050–e70050.
2.
O’Kell, Allison L., et al.. (2022). The effect of capromorelin on glycemic control in healthy dogs. Domestic Animal Endocrinology. 81. 106732–106732. 3 indexed citations
3.
Souza, Carlos Henrique de Mello, et al.. (2022). Identification of the interleukin-8 (CXCL-8) pathway in feline oral squamous cell carcinoma - A pilot study.. PubMed. 86(1). 13–19. 2 indexed citations
4.
Milner, Rowan J., Galaxia Cortés-Hinojosa, Alberto Riva, et al.. (2021). Novel application of single-cell next-generation sequencing for determination of intratumoral heterogeneity of canine osteosarcoma cell lines. Journal of Veterinary Diagnostic Investigation. 33(2). 261–278. 12 indexed citations
5.
Whitley, Elizabeth M., Bikash Sahay, Galaxia Cortés-Hinojosa, et al.. (2020). Canine osteosarcoma checkpoint expression correlates with metastasis and T-cell infiltrate. Veterinary Immunology and Immunopathology. 232. 110169–110169. 23 indexed citations
6.
Sahay, Bikash, et al.. (2019). Characterization of myeloid-derived suppressor cells and cytokines GM-CSF, IL-10 and MCP-1 in dogs with malignant melanoma receiving a GD3-based immunotherapy. Veterinary Immunology and Immunopathology. 216. 109912–109912. 18 indexed citations
7.
Whitley, R. David, et al.. (2017). Development and Assessment of a Novel CanineEx VivoCorneal Model. Current Eye Research. 42(6). 813–821. 13 indexed citations
8.
Milner, Rowan J., et al.. (2015). Abstract A29: Differential expression of the gangliosides GD3 and GD2 in canine and human osteosarcoma cell lines: An immunotherapy target. Cancer Immunology Research. 3(10_Supplement). A29–A29. 1 indexed citations
9.
Scharf, Valery F., James P. Farese, Rowan J. Milner, et al.. (2013). Effect of bevacizumab on angiogenesis and growth of canine osteosarcoma cells xenografted in athymic mice. American Journal of Veterinary Research. 74(5). 771–778. 20 indexed citations
10.
Scharf, Valery F., James P. Farese, Dietmar W. Siemann, et al.. (2013). Effects of aurothiomalate treatment on canine osteosarcoma in a murine xenograft model. Anti-Cancer Drugs. 25(3). 332–339. 3 indexed citations
11.
Milner, Rowan J., et al.. (2013). Apoptotic effects of the tyrosine kinase inhibitor, masitinib mesylate, on canine osteosarcoma cells. Anti-Cancer Drugs. 24(5). 519–526. 14 indexed citations
12.
Milner, Rowan J., et al.. (2012). In vitro effects of the tyrosine kinase inhibitor, masitinib mesylate, on canine hemangiosarcoma cell lines. Veterinary and Comparative Oncology. 10(3). 223–235. 23 indexed citations
13.
Milner, Rowan J., Marc E. Salute, David E. Hintenlang, et al.. (2011). Radiosensitivity and capacity for radiation‐induced sublethal damage repair of canine transitional cell carcinoma (TCC) cell lines. Veterinary and Comparative Oncology. 9(3). 232–240. 10 indexed citations
14.
Farese, James P., Rowan J. Milner, David P. Taylor, et al.. (2009). Development of an intramuscular xenograft model of canine osteosarcoma in mice for evaluation of the effects of radiation therapy. American Journal of Veterinary Research. 70(1). 127–133. 8 indexed citations
15.
Fitzpatrick, Courtney L., James P. Farese, Rowan J. Milner, et al.. (2008). Intrinsic radiosensitivity and repair of sublethal radiation-induced damage in canine osteosarcoma cell lines. American Journal of Veterinary Research. 69(9). 1197–1202. 27 indexed citations
16.
Milner, Rowan J., et al.. (2006). The immune response to disialoganglioside GD3 vaccination in normal dogs: A melanoma surface antigen vaccine. Veterinary Immunology and Immunopathology. 114(3-4). 273–284. 29 indexed citations
17.
Adin, Darcy B., et al.. (2005). Cardiac troponin I concentrations in normal dogs and cats using a bedside analyzer. Journal of Veterinary Cardiology. 7(1). 27–32. 24 indexed citations
18.
Levy, Julie K., et al.. (2004). Comparison of Serological Tests for the Detection of Natural Heartworm Infection in Cats. Journal of the American Animal Hospital Association. 40(5). 376–384. 45 indexed citations
19.
Levy, Julie K., et al.. (2003). Prevalence and Risk Factors for Heartworm Infection in Cats From Northern Florida. Journal of the American Animal Hospital Association. 39(6). 533–537. 35 indexed citations
20.
Snyder, Patti S., et al.. (2000). Performance of serologic tests used to detect heartworm infection in cats. Journal of the American Veterinary Medical Association. 216(5). 693–700. 48 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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