Marc‐André d’Anjou

2.0k total citations
49 papers, 1.3k citations indexed

About

Marc‐André d’Anjou is a scholar working on Surgery, Rheumatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Marc‐André d’Anjou has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Surgery, 15 papers in Rheumatology and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Marc‐André d’Anjou's work include Osteoarthritis Treatment and Mechanisms (14 papers), Veterinary Oncology Research (10 papers) and Veterinary Orthopedics and Neurology (9 papers). Marc‐André d’Anjou is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (14 papers), Veterinary Oncology Research (10 papers) and Veterinary Orthopedics and Neurology (9 papers). Marc‐André d’Anjou collaborates with scholars based in Canada, United States and France. Marc‐André d’Anjou's co-authors include Dominique G. Penninck, Kate Alexander, Guy Beauchamp, Maxim Moreau, Julien Olive, Sheila Laverty, Éric Troncy, Christine L. Theoret, Marilyn E. Dunn and Philippe Pîbarot and has published in prestigious journals such as Annals of the Rheumatic Diseases, BioMed Research International and Osteoarthritis and Cartilage.

In The Last Decade

Marc‐André d’Anjou

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc‐André d’Anjou Canada 23 542 406 351 291 257 49 1.3k
Richard D. Park United States 22 573 1.1× 607 1.5× 304 0.9× 260 0.9× 444 1.7× 62 1.5k
Wm Tod Drost United States 22 370 0.7× 473 1.2× 300 0.9× 92 0.3× 152 0.6× 58 1.1k
Daniel A. Feeney United States 26 627 1.2× 740 1.8× 813 2.3× 101 0.3× 188 0.7× 124 2.1k
Gabriela S. Seiler United States 23 498 0.9× 396 1.0× 412 1.2× 49 0.2× 157 0.6× 73 1.2k
Nathan L. Dykes United States 20 394 0.7× 462 1.1× 143 0.4× 93 0.3× 244 0.9× 48 968
Gary R. Johnston United States 23 484 0.9× 990 2.4× 455 1.3× 117 0.4× 396 1.5× 96 1.9k
Carl R. Jessen United States 19 517 1.0× 579 1.4× 522 1.5× 50 0.2× 80 0.3× 77 1.5k
Robert Wrigley United States 18 218 0.4× 170 0.4× 230 0.7× 60 0.2× 93 0.4× 35 633
Junghee Yoon South Korea 19 493 0.9× 304 0.7× 296 0.8× 48 0.2× 104 0.4× 145 1.3k
R. Dennis United Kingdom 20 450 0.8× 466 1.1× 236 0.7× 54 0.2× 190 0.7× 45 1.1k

Countries citing papers authored by Marc‐André d’Anjou

Since Specialization
Citations

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

Fields of papers citing papers by Marc‐André d’Anjou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc‐André d’Anjou. 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‐André d’Anjou. The network helps show where Marc‐André d’Anjou may publish in the future.

Co-authorship network of co-authors of Marc‐André d’Anjou

This figure shows the co-authorship network connecting the top 25 collaborators of Marc‐André d’Anjou. A scholar is included among the top collaborators of Marc‐André d’Anjou 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‐André d’Anjou. Marc‐André d’Anjou 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.
Penninck, Dominique G. & Marc‐André d’Anjou. (2015). Atlas of small animal ultrasonography. Wiley-Blackwell eBooks. 136 indexed citations
2.
d’Anjou, Marc‐André, et al.. (2013). Interobserver agreement and diagnostic accuracy of brain magnetic resonance imaging in dogs. Journal of the American Veterinary Medical Association. 242(12). 1688–1695. 12 indexed citations
3.
d’Anjou, Marc‐André, et al.. (2011). VALUE OF FAT SUPPRESSION IN GADOLINIUM‐ENHANCED MAGNETIC RESONANCE NEUROIMAGING. Veterinary Radiology & Ultrasound. 52(s1). S85–90. 17 indexed citations
4.
Alexander, Kate, et al.. (2011). COMPARISON OF SONOGRAPHIC FEATURES OF BENIGN AND NEOPLASTIC DEEP LYMPH NODES IN DOGS. Veterinary Radiology & Ultrasound. 52(4). 451–456. 48 indexed citations
5.
6.
Olive, Julien, Marc‐André d’Anjou, Kate Alexander, Sheila Laverty, & Christine L. Theoret. (2010). COMPARISON OF MAGNETIC RESONANCE IMAGING, COMPUTED TOMOGRAPHY, AND RADIOGRAPHY FOR ASSESSMENT OF NONCARTILAGINOUS CHANGES IN EQUINE METACARPOPHALANGEAL OSTEOARTHRITIS. Veterinary Radiology & Ultrasound. 51(3). 267–279. 56 indexed citations
7.
Li, Wei, F. Abram, Jean‐Pierre Pelletier, et al.. (2010). Fully automated system for the quantification of human osteoarthritic knee joint effusion volume using magnetic resonance imaging. Arthritis Research & Therapy. 12(5). R173–R173. 37 indexed citations
8.
d’Anjou, Marc‐André, et al.. (2009). COMPARISON OF SINGLE‐SLICE COMPUTED TOMOGRAPHY PROTOCOLS FOR DETECTION OF PULMONARY NODULES IN DOGS. Veterinary Radiology & Ultrasound. 50(3). 279–284. 14 indexed citations
9.
Alexander, Kate, Marc‐André d’Anjou, Christiane Girard, et al.. (2008). Use of routine clinical multimodality imaging in a rabbit model of osteoarthritis – part I. Osteoarthritis and Cartilage. 17(2). 188–196. 24 indexed citations
10.
11.
Alexander, Kate, et al.. (2008). Magnetic resonance imaging and marsupialization of a hemorrhagic intramedullary vascular anomaly in the cervical portion of the spinal cord of a dog. Journal of the American Veterinary Medical Association. 232(3). 399–404. 11 indexed citations
12.
13.
Alexander, Kate, et al.. (2008). Use of routine clinical multimodality imaging in a rabbit model of osteoarthritis – part II: bone mineral density assessment. Osteoarthritis and Cartilage. 17(2). 197–204. 23 indexed citations
14.
d’Anjou, Marc‐André, Éric Troncy, Maxim Moreau, et al.. (2008). Temporal assessment of bone marrow lesions on magnetic resonance imaging in a canine model of knee osteoarthritis: impact of sequence selection. Osteoarthritis and Cartilage. 16(11). 1307–1311. 26 indexed citations
15.
d’Anjou, Marc‐André, et al.. (2008). IMAGING DIAGNOSIS—CT ANGIOGRAPHY OF A RARE VASCULAR RING ANOMALY IN A DOG. Veterinary Radiology & Ultrasound. 49(1). 42–46. 20 indexed citations
16.
d’Anjou, Marc‐André. (2007). The Sonographic Search for Portosystemic Shunts. Clinical Techniques in Small Animal Practice. 22(3). 104–114. 24 indexed citations
17.
Beauregard, Guy, et al.. (2007). Detection of rib trauma in newborn foals in an equine critical care unit: a comparison of ultrasonography, radiography and physical examination. Equine Veterinary Journal. 39(2). 158–163. 26 indexed citations
18.
Boileau, Cathérine, Johanne Martel‐Pelletier, F. Abram, et al.. (2007). Magnetic resonance imaging can accurately assess the long-term progression of knee structural changes in experimental dog osteoarthritis. Annals of the Rheumatic Diseases. 67(7). 926–932. 38 indexed citations
19.
d’Anjou, Marc‐André, Amy S. Tidwell, & Silke Hecht. (2005). RADIOGRAPHIC DIAGNOSIS OF LUNG LOBE TORSION. Veterinary Radiology & Ultrasound. 46(6). 478–484. 33 indexed citations
20.
d’Anjou, Marc‐André, et al.. (2004). ULTRASONOGRAPHIC DIAGNOSIS OF PORTOSYSTEMIC SHUNTING IN DOGS AND CATS. Veterinary Radiology & Ultrasound. 45(5). 424–437. 105 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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