Eric Leung

3.0k total citations · 1 hit paper
92 papers, 2.0k citations indexed

About

Eric Leung is a scholar working on Obstetrics and Gynecology, Surgery and Reproductive Medicine. According to data from OpenAlex, Eric Leung has authored 92 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Obstetrics and Gynecology, 31 papers in Surgery and 20 papers in Reproductive Medicine. Recurrent topics in Eric Leung's work include Endometrial and Cervical Cancer Treatments (45 papers), Advanced Radiotherapy Techniques (19 papers) and Management of metastatic bone disease (17 papers). Eric Leung is often cited by papers focused on Endometrial and Cervical Cancer Treatments (45 papers), Advanced Radiotherapy Techniques (19 papers) and Management of metastatic bone disease (17 papers). Eric Leung collaborates with scholars based in Canada, United States and Saudi Arabia. Eric Leung's co-authors include Neerja Bhatla, Adriana Bermúdez, David D’Souza, James N. Fryer, Edward Chow, Lucas C. Mendez, Caitlin Yee, Leah Drost, Danny Vesprini and Henry Lam and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Clinical Cancer Research.

In The Last Decade

Eric Leung

86 papers receiving 2.0k citations

Hit Papers

Cancer of the cervix uteri 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Leung Canada 22 951 536 469 438 393 92 2.0k
Hayeon Kim United States 23 911 1.0× 582 1.1× 314 0.7× 176 0.4× 184 0.5× 104 1.6k
Jennifer F. De Los Santos United States 17 742 0.8× 485 0.9× 156 0.3× 348 0.8× 249 0.6× 57 1.5k
Alexandre Escande France 23 428 0.5× 423 0.8× 173 0.4× 382 0.9× 440 1.1× 97 1.6k
Cinzia Crivellaro Italy 26 587 0.6× 228 0.4× 724 1.5× 569 1.3× 178 0.5× 88 1.8k
Marrije R. Buist Netherlands 28 810 0.9× 592 1.1× 318 0.7× 252 0.6× 365 0.9× 48 2.0k
Tomoyasu Kato Japan 27 973 1.0× 543 1.0× 349 0.7× 132 0.3× 611 1.6× 194 2.9k
Marcelo Mamede Brazil 26 178 0.2× 445 0.8× 186 0.4× 930 2.1× 265 0.7× 88 2.1k
Sébastien Gouy France 35 2.3k 2.4× 1.8k 3.3× 705 1.5× 378 0.9× 963 2.5× 219 4.8k
Robert S. Malyapa United States 35 197 0.2× 900 1.7× 245 0.5× 576 1.3× 669 1.7× 78 3.1k
Fernanda Herrera Switzerland 19 210 0.2× 243 0.5× 108 0.2× 283 0.6× 625 1.6× 65 1.6k

Countries citing papers authored by Eric Leung

Since Specialization
Citations

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

Fields of papers citing papers by Eric Leung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Leung

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Leung. A scholar is included among the top collaborators of Eric Leung 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 Eric Leung. Eric Leung 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.
Leung, Eric, et al.. (2024). Machine Learning Models to Predict Bone Metastasis Risk in Patients With Lung Cancer. Cancer Medicine. 13(22). e70383–e70383. 1 indexed citations
3.
Raziee, Hamid, et al.. (2024). Hypofractionated Radiotherapy in Gynecologic Malignancies—A Peek into the Upcoming Evidence. Cancers. 16(2). 362–362. 6 indexed citations
4.
Moore-Palhares, Daniel, Ling Ho, Lin Lü, et al.. (2023). Clinical implementation of magnetic resonance imaging simulation for radiation oncology planning: 5 year experience. Radiation Oncology. 18(1). 27–27. 19 indexed citations
5.
6.
Leung, Eric, Tassy Parker, Allyson Kelley, & James C. Blankenship. (2022). Social determinants of incidence, outcomes, and interventions of cardiovascular disease risk factors in American Indians and Alaska Natives. World Medical & Health Policy. 15(4). 414–434. 8 indexed citations
7.
Bauman, Glenn, Zahra Kassam, Eric Leung, et al.. (2022). Can We Identify Predictors of Success in Contouring Education for Radiation Oncology Trainees? An Analysis of the Anatomy and Radiology Contouring Bootcamp. Practical Radiation Oncology. 12(6). e486–e492.
8.
Barnes, Elizabeth, Kevin Martell, Carlos Parra‐Herran, et al.. (2021). Substantial lymphovascular space invasion predicts worse outcomes in early-stage endometrioid endometrial cancer. Brachytherapy. 20(3). 527–535. 24 indexed citations
9.
Bauman, Glenn, Zahra Kassam, Eric Leung, et al.. (2021). Implementation and evaluation of an online anatomy, radiology and contouring bootcamp for radiation therapists. Journal of medical imaging and radiation sciences. 52(4). 567–575. 1 indexed citations
10.
Wan, Bo, Liying Zhang, Caitlin Yee, et al.. (2021). Patient-Reported Pain in Patients with Breast Cancer Who Receive Radiotherapy. Pain Management Nursing. 22(3). 402–407. 2 indexed citations
11.
Kamrava, Mitchell, et al.. (2021). Interstitial brachytherapy for gynecologic malignancies: Complications, toxicities, and management. Brachytherapy. 20(5). 995–1004. 12 indexed citations
12.
Soliman, Hany, Arjun Sahgal, Benjamin Geraghty, et al.. (2021). Predicting response to radiotherapy of intracranial metastases with hyperpolarized $$^{13}$$C MRI. Journal of Neuro-Oncology. 152(3). 551–557. 18 indexed citations
13.
Han, Kathy, Lucas C. Mendez, David D’Souza, et al.. (2020). Management of gynecologic cancer: Choosing radiotherapy wisely by 3 Southern Ontario academic centers during the COVID-19 pandemic. Radiotherapy and Oncology. 151. 15–16. 4 indexed citations
14.
Chino, Junzo, Christina M. Annunziata, Sushil Beriwal, et al.. (2020). The ASTRO clinical practice guidelines in cervical cancer: Optimizing radiation therapy for improved outcomes. Gynecologic Oncology. 159(3). 607–610. 26 indexed citations
15.
Chow, Selina, Bo Wan, Liying Zhang, et al.. (2019). Symptom clusters in patients with breast cancer receiving radiation therapy. European Journal of Oncology Nursing. 42. 14–20. 34 indexed citations
16.
Mendez, Lucas C., Alexander V. Louie, Matt Wronski, et al.. (2018). Evaluation of a new predictor of heart and left anterior descending artery dose in patients treated with adjuvant radiotherapy to the left breast. Radiation Oncology. 13(1). 124–124. 8 indexed citations
18.
Johnson, Marjorie, Kevin Fung, Anthony C. Nichols, et al.. (2015). Evaluating the Impact of a Canadian National Anatomy and Radiology Contouring Boot Camp for Radiation Oncology Residents. International Journal of Radiation Oncology*Biology*Physics. 91(4). 701–707. 29 indexed citations
19.
Milosevic, Michael, Sarah Jane Lunt, Eric Leung, et al.. (2007). Interstitial permeability and elasticity in human cervix cancer. Microvascular Research. 75(3). 381–390. 27 indexed citations
20.
Chen, Hueih Min, et al.. (1999). The effect of Glu75 of staphylococcal nuclease on enzyme activity, protein stability and protein unfolding. European Journal of Biochemistry. 261(3). 599–609. 9 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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