Shannon Frank

586 total citations
8 papers, 20 citations indexed

About

Shannon Frank is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Shannon Frank has authored 8 papers receiving a total of 20 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Shannon Frank's work include Lung Cancer Treatments and Mutations (4 papers), Cancer Genomics and Diagnostics (3 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Shannon Frank is often cited by papers focused on Lung Cancer Treatments and Mutations (4 papers), Cancer Genomics and Diagnostics (3 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Shannon Frank collaborates with scholars based in United States, United Kingdom and Egypt. Shannon Frank's co-authors include Vineeta Agarwala, Thomas Caron, Anala Gossai, Ameet Guria, Peter G. Miller, Gaurav Singal, David Bourque, F. Ross, Adam S. Garden and Dana Feuchtbaum and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Shannon Frank

6 papers receiving 20 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shannon Frank United States 2 11 10 9 3 3 8 20
Zhanyu Pan China 4 20 1.8× 14 1.4× 9 1.0× 4 1.3× 2 0.7× 6 34
Ameet Guria United States 2 9 0.8× 8 0.8× 9 1.0× 3 1.0× 1 0.3× 3 16
David Bourque United States 3 9 0.8× 8 0.8× 9 1.0× 3 1.0× 1 0.3× 5 18
Evelyne Guay Canada 2 5 0.5× 8 0.8× 6 0.7× 3 1.0× 3 1.0× 4 21
T. Koike Japan 3 11 1.0× 12 1.2× 8 0.9× 4 1.3× 2 0.7× 4 20
A Forberger Germany 2 14 1.3× 7 0.7× 7 0.8× 5 1.7× 5 1.7× 5 25
Heidi Dowst United States 4 10 0.9× 6 0.6× 10 1.1× 9 3.0× 2 0.7× 9 27
Janet Files United States 4 15 1.4× 10 1.0× 6 0.7× 7 2.3× 2 0.7× 8 24
Julia Teply‐Szymanski Germany 4 11 1.0× 6 0.6× 9 1.0× 6 2.0× 2 0.7× 9 24
Katherine Hyde United Kingdom 3 8 0.7× 12 1.2× 6 0.7× 2 0.7× 5 1.7× 4 24

Countries citing papers authored by Shannon Frank

Since Specialization
Citations

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

Fields of papers citing papers by Shannon Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shannon Frank

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

All Works

8 of 8 papers shown
1.
Betensky, Marisol, Vera Ignjatović, Jamie L. Fierstein, et al.. (2024). Frequency, characteristics, antithrombotic therapies, and outcomes of thromboembolism in paediatric patients with CHD undergoing cardiac surgery: a single centre retrospective study. Cardiology in the Young. 34(12). 2645–2649. 1 indexed citations
2.
Cheng, Angela, Shannon Frank, K. H. Baines, et al.. (2023). 231P Trastuzumab deruxtecan for the treatment of metastatic breast cancer in the UK: Real-world data. ESMO Open. 8(1). 101419–101419. 1 indexed citations
3.
Bagley, Alexander F., Mitchell S. Anscher, Shannon Frank, et al.. (2019). Factors Affecting Receipt of Non-Definitive Therapy for High-Risk Prostate Cancer: A National Cancer Database Analysis. International Journal of Radiation Oncology*Biology*Physics. 105(1). E452–E452.
4.
Elgohari, Baher, Abdallah Mohamed, Hesham Elhalawani, et al.. (2018). Diffusion-Weighted MRI As an Early Biomarker of Xerostomia in Oropharyngeal Cancer Patients Treated with Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 102(3). e214–e215. 1 indexed citations
5.
Singal, Gaurav, Gerald Li, Vineeta Agarwala, et al.. (2018). Abstract 1833: Identification of resistance mechanisms to EGFR treatment in the real world using a clinicogenomic database. Cancer Research. 78(13_Supplement). 1833–1833.
6.
Singal, Gaurav, Peter G. Miller, Vineeta Agarwala, et al.. (2017). Analyzing biomarkers of cancer immunotherapy (CIT) response using a real-world clinico-genomic database. Annals of Oncology. 28. v404–v405. 9 indexed citations
7.
Singal, Gaurav, Peter G. Miller, Vineeta Agarwala, et al.. (2017). Development and validation of a real-world clinicogenomic database.. Journal of Clinical Oncology. 35(15_suppl). 2514–2514. 7 indexed citations
8.
Keizman, Daniel, Luke T. Nordquist, Neil Mariados, et al.. (2016). 764 Radium-223 (Ra-223) re-treatment (re-tx): Experience from an international, multicenter, prospective study in patients (pts) with castration-resistant prostate cancer and bone metastases (mCRPC). European Urology Supplements. 15(3). e764–e764a. 1 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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