Sonia L. Sugg

3.8k total citations
88 papers, 2.7k citations indexed

About

Sonia L. Sugg is a scholar working on Oncology, Cancer Research and Surgery. According to data from OpenAlex, Sonia L. Sugg has authored 88 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Oncology, 27 papers in Cancer Research and 22 papers in Surgery. Recurrent topics in Sonia L. Sugg's work include Breast Cancer Treatment Studies (17 papers), Thyroid Cancer Diagnosis and Treatment (14 papers) and Parathyroid Disorders and Treatments (10 papers). Sonia L. Sugg is often cited by papers focused on Breast Cancer Treatment Studies (17 papers), Thyroid Cancer Diagnosis and Treatment (14 papers) and Parathyroid Disorders and Treatments (10 papers). Sonia L. Sugg collaborates with scholars based in United States, Canada and China. Sonia L. Sugg's co-authors include Ronald J. Weigel, L. Sylvia, Irving B. Rosen, Shereen Ezzat, Jeremy L. Freeman, Geeta Lal, Carol E. H. Scott‐Conner, James R. Howe, Philip M. Spanheimer and Joel Shilyansky and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Sonia L. Sugg

85 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonia L. Sugg United States 29 863 833 816 654 607 88 2.7k
Diana Learoyd Australia 30 620 0.7× 682 0.8× 1.9k 2.3× 180 0.3× 812 1.3× 77 2.7k
Guy Andry Belgium 29 755 0.9× 729 0.9× 700 0.9× 374 0.6× 861 1.4× 113 2.6k
J R Farndon United Kingdom 24 790 0.9× 474 0.6× 481 0.6× 302 0.5× 707 1.2× 58 2.2k
Nora Jaskowiak United States 20 608 0.7× 647 0.8× 83 0.1× 878 1.3× 545 0.9× 43 2.7k
W. David J. Ryder United Kingdom 30 1.3k 1.5× 623 0.7× 538 0.7× 357 0.5× 731 1.2× 64 3.1k
William G. Dilley United States 21 636 0.7× 461 0.6× 1.1k 1.3× 151 0.2× 544 0.9× 40 2.1k
Claudio Di Cristofano Italy 30 275 0.3× 778 0.9× 162 0.2× 251 0.4× 480 0.8× 98 2.1k
Luís Teixeira France 28 1.1k 1.2× 604 0.7× 83 0.1× 451 0.7× 362 0.6× 93 3.3k
Emma R. Woodward United Kingdom 30 819 0.9× 1.0k 1.2× 298 0.4× 1.1k 1.7× 699 1.2× 104 3.2k
Yoko Miyoshi Japan 19 555 0.6× 794 1.0× 146 0.2× 241 0.4× 296 0.5× 71 2.0k

Countries citing papers authored by Sonia L. Sugg

Since Specialization
Citations

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

Fields of papers citing papers by Sonia L. Sugg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sonia L. Sugg. 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 Sonia L. Sugg. The network helps show where Sonia L. Sugg may publish in the future.

Co-authorship network of co-authors of Sonia L. Sugg

This figure shows the co-authorship network connecting the top 25 collaborators of Sonia L. Sugg. A scholar is included among the top collaborators of Sonia L. Sugg 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 Sonia L. Sugg. Sonia L. Sugg 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.
Avellino, Anthony M., Xingshan Jiang, Michael Lee, et al.. (2025). An Olive Oil–Based High-Fat Diet Promotes Obesity-Driven Metastasis of Triple-Negative Breast Cancer. Cancer Research. 85(24). 5015–5032. 1 indexed citations
2.
Jiang, Xingshan, Yiqin Xiong, Jianyu Yu, et al.. (2025). Expression profiles of FABP4 and FABP5 in breast cancer: clinical implications and perspectives. Discover Oncology. 16(1). 357–357. 3 indexed citations
3.
Yorek, Matthew S., Xingshan Jiang, Jiaqing Hao, et al.. (2024). FABP4-mediated lipid accumulation and lipolysis in tumor-associated macrophages promote breast cancer metastasis. eLife. 13. 7 indexed citations
4.
5.
Wessels, Deborah, Claude Pujol, Daniel F. Lusche, et al.. (2021). Directed movement toward, translocation along, penetration into and exit from vascular networks by breast cancer cells in 3D. Cell Adhesion & Migration. 15(1). 224–248. 1 indexed citations
6.
7.
Chrischilles, Elizabeth A., Danielle Riley, Elena M. Letuchy, et al.. (2019). Upper extremity disability and quality of life after breast cancer treatment in the Greater Plains Collaborative clinical research network. Breast Cancer Research and Treatment. 175(3). 675–689. 37 indexed citations
8.
Schroeder, Mary C., et al.. (2018). Nipple-Sparing Mastectomy is Not Associated with a Delay of Adjuvant Treatment. Annals of Surgical Oncology. 25(7). 1928–1935. 9 indexed citations
9.
Beck, Anna C., Paolo Goffredo, Imran Hassan, et al.. (2018). Risk factors for 30-day readmission after adrenalectomy. Surgery. 164(4). 766–773. 12 indexed citations
10.
Wu, Tong, Anthony R. Cyr, George W. Woodfield, et al.. (2015). The role of Tcfap2c in tumorigenesis and cancer growth in an activated Neu model of mammary carcinogenesis. Oncogene. 34(50). 6105–6114. 22 indexed citations
11.
Spanheimer, Philip M., Jung Min Park, Ryan W. Askeland, et al.. (2014). Inhibition of RET Increases the Efficacy of Antiestrogen and Is a Novel Treatment Strategy for Luminal Breast Cancer. Clinical Cancer Research. 20(8). 2115–2125. 33 indexed citations
12.
Lizarraga, Ingrid M., Sonia L. Sugg, Ronald J. Weigel, & Carol E. H. Scott‐Conner. (2013). Review of risk factors for the development of contralateral breast cancer. The American Journal of Surgery. 206(5). 704–708. 50 indexed citations
13.
Lizarraga, Ingrid M., et al.. (2013). Management of Contralateral Axillary Sentinel Lymph Nodes Detected on Lymphoscintigraphy for Breast Cancer. Annals of Surgical Oncology. 20(10). 3317–3322. 20 indexed citations
14.
Spanheimer, Philip M., Sonia L. Sugg, Geeta Lal, James R. Howe, & Ronald J. Weigel. (2011). Surveillance and Intervention After Thyroid Lobectomy. Annals of Surgical Oncology. 18(6). 1729–1733. 20 indexed citations
15.
Lal, Geeta, et al.. (2009). Determinants of survival in patients with calciphylaxis: A multivariate analysis. Surgery. 146(6). 1028–1034. 49 indexed citations
16.
Wilson, Stuart D., Elizabeth A. Krzywda, Yong-ran Zhu, et al.. (2008). The influence of surgery in MEN-1 syndrome: Observations over 150 years. Surgery. 144(4). 695–702. 12 indexed citations
17.
Sugg, Sonia L., Shereen Ezzat, Irving B. Rosen, Jeremy L. Freeman, & L. Sylvia. (1998). Distinct MultipleRET/PTC Gene Rearrangements in Multifocal Papillary Thyroid Neoplasia1. The Journal of Clinical Endocrinology & Metabolism. 83(11). 4116–4122. 231 indexed citations
18.
Sugg, Sonia L.. (1996). ret/PTC-1, -2, and -3 oncogene rearrangements in human thyroid carcinomas: implications for metastatic potential?. The Journal of Clinical Endocrinology & Metabolism. 81(9). 3360–3365. 27 indexed citations
19.
Sugg, Sonia L., Lishu Zheng, Irving B. Rosen, et al.. (1996). ret/PTC-1, -2, and -3 oncogene rearrangements in human thyroid carcinomas: implications for metastatic potential?. The Journal of Clinical Endocrinology & Metabolism. 81(9). 3360–3365. 119 indexed citations
20.
Sugg, Sonia L., et al.. (1995). Pseudoaneurysms of the Intraparenchymal Splenic Artery after Blunt Abdominal Trauma. PubMed. 39(3). 593–595. 31 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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