Michael Tamilia

1.4k total citations
70 papers, 1.1k citations indexed

About

Michael Tamilia is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Michael Tamilia has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Endocrinology, Diabetes and Metabolism, 40 papers in Surgery and 11 papers in Genetics. Recurrent topics in Michael Tamilia's work include Thyroid Cancer Diagnosis and Treatment (54 papers), Thyroid and Parathyroid Surgery (30 papers) and Thyroid Disorders and Treatments (11 papers). Michael Tamilia is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (54 papers), Thyroid and Parathyroid Surgery (30 papers) and Thyroid Disorders and Treatments (11 papers). Michael Tamilia collaborates with scholars based in Canada, Saudi Arabia and Israel. Michael Tamilia's co-authors include Richard J. Payne, Michael P. Hier, Martin J. Black, Jonathan Young, Louise Rochon, Véronique‐Isabelle Forest, Valérie Côté, Elizabeth MacNamara, Marc Pusztaszeri and Alex Mlynarek and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Obstetrics and Gynecology and Canadian Medical Association Journal.

In The Last Decade

Michael Tamilia

66 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Tamilia Canada 20 881 656 211 109 100 70 1.1k
Cumhur Arıcı Türkiye 15 323 0.4× 583 0.9× 328 1.6× 94 0.9× 69 0.7× 36 880
Goswin Y. Meyer‐Rochow Australia 16 544 0.6× 653 1.0× 48 0.2× 40 0.4× 131 1.3× 40 974
Gloria Tsvetov Israel 16 492 0.6× 270 0.4× 121 0.6× 78 0.7× 83 0.8× 44 837
Luca Revelli Italy 13 447 0.5× 544 0.8× 43 0.2× 54 0.5× 43 0.4× 48 706
Jennifer L. Marti United States 15 497 0.6× 347 0.5× 18 0.1× 180 1.7× 97 1.0× 48 865
Salvatore Napolitano Italy 17 414 0.5× 551 0.8× 24 0.1× 22 0.2× 66 0.7× 33 671
Véronique‐Isabelle Forest Canada 19 552 0.6× 402 0.6× 12 0.1× 178 1.6× 165 1.6× 71 986
Gaurav Malhotra India 15 195 0.2× 196 0.3× 112 0.5× 13 0.1× 114 1.1× 65 602
Tomomi Ushiyama Japan 19 432 0.5× 674 1.0× 42 0.2× 26 0.2× 48 0.5× 83 1.1k
Giulia Ferrarazzo Italy 12 151 0.2× 145 0.2× 72 0.3× 28 0.3× 33 0.3× 25 525

Countries citing papers authored by Michael Tamilia

Since Specialization
Citations

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

Fields of papers citing papers by Michael Tamilia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Tamilia

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Tamilia. A scholar is included among the top collaborators of Michael Tamilia 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 Michael Tamilia. Michael Tamilia 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.
Franco, Miguel, et al.. (2025). Characteristics and Prognostic Markers of Aggressive Subtypes of Thyroid Cancer: A Retrospective Study. Cancer Reports. 8(3). e70131–e70131.
2.
Tamilia, Michael, et al.. (2024). Case Report: IgG4-Related Disease Presenting With Isolated Hypophysitis. AACE Clinical Case Reports. 10(5). 202–205.
3.
4.
Mascarella, Marco A., Véronique‐Isabelle Forest, Marc Pusztaszeri, et al.. (2021). Association of Bethesda category and molecular mutation in patients undergoing thyroidectomy. Clinical Otolaryngology. 47(1). 75–80. 10 indexed citations
5.
Richardson, Keith, Véronique‐Isabelle Forest, Alex Mlynarek, et al.. (2021). Thyroidectomy for Graves’ Disease Predicts Postoperative Neck Hematoma and Hypocalcemia: A North American cohort study. Annals of Otology Rhinology & Laryngology. 131(4). 341–351. 6 indexed citations
6.
Henry, Mélissa, Saul Frenkiel, Gabrielle Chartier, et al.. (2018). Feelings of Disenfranchisement and Support Needs Among Patients With Thyroid Cancer. Oncology nursing forum. 45(5). 639–652. 8 indexed citations
7.
Probst, Stephan, et al.. (2018). I-131 Radiation-Induced Myelosuppression in Differentiated Thyroid Cancer Therapy. Molecular Imaging and Radionuclide Therapy. 27(2). 84–87. 4 indexed citations
8.
Tamilia, Michael, et al.. (2017). Cytomegalovirus-mononucleosis-induced thyroiditis in an immunocompetent patient. Endocrinology Diabetes and Metabolism Case Reports. 2017. 2 indexed citations
9.
Abikhzer, Gad, et al.. (2017). Interrupted 131I Procedures for Patients With Differentiated Thyroid Cancer. Clinical Nuclear Medicine. 42(4). 247–249. 1 indexed citations
10.
Hosseini, Seyed Mohammad Hassan, et al.. (2016). Can preoperative thyroglobulin antibody levels be used as a marker for well differentiated thyroid cancer?. Journal of Otolaryngology - Head and Neck Surgery. 45(1). 31–31. 16 indexed citations
11.
Forest, Véronique‐Isabelle, et al.. (2014). Pathological Features Frequently Found in Recurrent Papillary Thyroid Cancer. Otolaryngology. 151(S1). 1 indexed citations
12.
Payne, Richard J., et al.. (2014). Is Age Associated with Risk of Malignancy in Thyroid Cancer?. Otolaryngology. 151(5). 746–750. 9 indexed citations
13.
Maniakas, Anastasios, Véronique‐Isabelle Forest, Yelda Jozaghi, et al.. (2013). Tumor Classification in Well-Differentiated Thyroid Carcinoma and Sentinel Lymph Node Biopsy Outcomes: A Direct Correlation. Thyroid. 24(4). 671–674. 7 indexed citations
14.
Tamilia, Michael, et al.. (2011). McGill Thyroid Nodule Score (MTNS): "rating the risk," a novel predictive scheme for cancer risk determination.. PubMed. 40 Suppl 1. S1–13. 26 indexed citations
15.
Marzouki, Hani, Mallory Chavannes, Michael Tamilia, et al.. (2010). Location of parathyroid adenomas: 7-year experience.. PubMed. 39(5). 551–4. 18 indexed citations
16.
Mijović, Tamara, Louise Rochon, Michael P. Hier, et al.. (2009). Fine-needle aspiration biopsy of the thyroid: review of cytopathologic features predictive of malignancy.. PubMed. 38(3). 348–54. 4 indexed citations
17.
Mendelson, Asher A., Michael Tamilia, Juan Rivera, et al.. (2009). Predictors of malignancy in preoperative nondiagnostic biopsies of the thyroid.. PubMed. 38(3). 395–400. 20 indexed citations
18.
Côté, Valérie, Michael P. Hier, Martin J. Black, et al.. (2008). Cost savings associated with post‐thyroidectomy parathyroid hormone levels. Otolaryngology. 138(2). 204–208. 31 indexed citations
19.
Pakdaman, Michael N., Louise Rochon, Michael Tamilia, et al.. (2008). Incidence and Histopathological Behavior of Papillary Microcarcinomas: Study of 429 cases. Otolaryngology. 139(5). 718–722. 24 indexed citations
20.
Alfadda, Assim A. & Michael Tamilia. (2004). Preeclampsia-like syndrome that is associated with severe hypothyroidism in a 20-week pregnant woman. American Journal of Obstetrics and Gynecology. 191(5). 1723–1724. 7 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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