Steven Latosinsky

640 total citations
10 papers, 173 citations indexed

About

Steven Latosinsky is a scholar working on Cancer Research, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Steven Latosinsky has authored 10 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Surgery and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Steven Latosinsky's work include Breast Cancer Treatment Studies (6 papers), Breast Implant and Reconstruction (4 papers) and Breast Lesions and Carcinomas (3 papers). Steven Latosinsky is often cited by papers focused on Breast Cancer Treatment Studies (6 papers), Breast Implant and Reconstruction (4 papers) and Breast Lesions and Carcinomas (3 papers). Steven Latosinsky collaborates with scholars based in Canada and United States. Steven Latosinsky's co-authors include Katherine Fradette, Lisa M. Lix, DP Turner, Craig C. Earle, Gunita Mitera, Andrea Bezjak, Christine Desbiens, Guila Delouya, Kara Laing and Geoff Porter and has published in prestigious journals such as Journal of Clinical Oncology, Canadian Medical Association Journal and Cancers.

In The Last Decade

Steven Latosinsky

10 papers receiving 169 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Latosinsky Canada 7 60 41 41 40 39 10 173
Vida Almario Passero United States 7 78 1.3× 26 0.6× 15 0.4× 41 1.0× 38 1.0× 24 228
Deirdre Fitzpatrick United Kingdom 8 88 1.5× 18 0.4× 17 0.4× 45 1.1× 23 0.6× 21 220
Joshua J. McFarlane United States 7 109 1.8× 23 0.6× 19 0.5× 43 1.1× 26 0.7× 8 240
Gabriela Sousa Portugal 8 71 1.2× 21 0.5× 10 0.2× 16 0.4× 32 0.8× 35 163
Yvonne van Riet Netherlands 4 153 2.5× 22 0.5× 28 0.7× 26 0.7× 16 0.4× 5 218
Zoey Chopra United States 8 37 0.6× 33 0.8× 30 0.7× 23 0.6× 32 0.8× 27 203
Shilpa S. Murthy United States 8 78 1.3× 55 1.3× 11 0.3× 13 0.3× 31 0.8× 26 181
Ingrid M. Lizarraga United States 10 156 2.6× 81 2.0× 24 0.6× 14 0.3× 33 0.8× 37 288
Erin M. Bange United States 7 115 1.9× 16 0.4× 12 0.3× 19 0.5× 29 0.7× 21 198
Joan Basiuk Canada 8 38 0.6× 35 0.9× 27 0.7× 68 1.7× 31 0.8× 11 232

Countries citing papers authored by Steven Latosinsky

Since Specialization
Citations

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

Fields of papers citing papers by Steven Latosinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Latosinsky

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

All Works

10 of 10 papers shown
1.
Latosinsky, Steven, Britney Allen, & Salimah Z. Shariff. (2019). Melanoma Nodal Management in Ontario the Year after the 2012 American Society of Clinical Oncology and Society of Surgical Oncology Guideline. Current Oncology. 26(5). 330–337. 3 indexed citations
2.
Latosinsky, Steven, et al.. (2019). Post-mastectomy radiation in node-positive breast cancer in Ontario. The Breast Journal. 25(2). 301–306. 1 indexed citations
3.
Sayedyahossein, Samar, Danielle Johnston, Kevin Barr, et al.. (2019). Inhibition of Pannexin 1 Reduces the Tumorigenic Properties of Human Melanoma Cells. Cancers. 11(1). 102–102. 42 indexed citations
5.
Mitera, Gunita, Craig C. Earle, Steven Latosinsky, et al.. (2015). Choosing Wisely Canada Cancer List: Ten Low-Value or Harmful Practices That Should Be Avoided In Cancer Care. Journal of Oncology Practice. 11(3). e296–e303. 48 indexed citations
6.
Racz, Jennifer M., Nicole Look Hong, & Steven Latosinsky. (2015). In Search of a Gold Standard Scoring System for the Subjective Evaluation of Cosmetic Outcomes Following Breast-Conserving Therapy. The Breast Journal. 21(4). 345–351. 10 indexed citations
7.
Mitera, Gunita, Andrea Bezjak, Christopher M. Booth, et al.. (2014). The Choosing Wisely Canada cancer initiative.. Journal of Clinical Oncology. 32(30_suppl). 5–5. 7 indexed citations
8.
Hardy, Krista, et al.. (2008). The impact of margin status on local recurrence following breast conserving therapy for invasive carcinoma in Manitoba. Journal of Surgical Oncology. 98(6). 399–402. 9 indexed citations
9.
Latosinsky, Steven, et al.. (2007). Canadian breast cancer guidelines: Have they made a difference?. Canadian Medical Association Journal. 176(6). 771–776. 43 indexed citations
10.
Latosinsky, Steven & Harry D. Bear. (2001). Do surgical oncologists achieve lower rates of local‐regional recurrence in node positive breast cancer treated with mastectomy alone?. Journal of Surgical Oncology. 78(1). 2–7. 4 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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