Gail Darling

17.4k total citations · 3 hit papers
299 papers, 9.1k citations indexed

About

Gail Darling is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Gail Darling has authored 299 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 200 papers in Pulmonary and Respiratory Medicine, 144 papers in Surgery and 80 papers in Oncology. Recurrent topics in Gail Darling's work include Lung Cancer Diagnosis and Treatment (111 papers), Esophageal Cancer Research and Treatment (94 papers) and Lung Cancer Treatments and Mutations (67 papers). Gail Darling is often cited by papers focused on Lung Cancer Diagnosis and Treatment (111 papers), Esophageal Cancer Research and Treatment (94 papers) and Lung Cancer Treatments and Mutations (67 papers). Gail Darling collaborates with scholars based in Canada, United States and China. Gail Darling's co-authors include Shaf Keshavjee, Thomas K. Waddell, Frances A. Shepherd, Valerie W. Rusch, Andrew Pierre, Mark S. Allen, Richard Inculet, Marc de Perrot, Joe B. Putnam and David R. Jones and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Gail Darling

284 papers receiving 8.9k citations

Hit Papers

Radiotherapy plus chemoth... 2009 2026 2014 2020 2009 2011 2011 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gail Darling 6.5k 2.8k 2.0k 1.2k 682 299 9.1k
Weiji Shi 4.0k 0.6× 2.3k 0.8× 3.5k 1.7× 982 0.8× 870 1.3× 98 8.0k
Garrett L. Walsh 6.8k 1.0× 5.4k 1.9× 1.9k 0.9× 1000 0.8× 1.0k 1.5× 238 10.4k
Thomas A. D’Amico 8.7k 1.3× 3.7k 1.3× 2.5k 1.2× 1.2k 1.0× 579 0.8× 299 11.1k
Claude Deschamps 8.5k 1.3× 6.4k 2.3× 2.7k 1.3× 886 0.7× 477 0.7× 249 13.4k
Ara A. Vaporciyan 7.5k 1.2× 4.9k 1.8× 2.5k 1.2× 1.4k 1.1× 778 1.1× 322 11.4k
Mark K. Ferguson 5.3k 0.8× 3.5k 1.3× 1.4k 0.7× 672 0.5× 341 0.5× 218 7.6k
Young Mog Shim 8.2k 1.3× 3.3k 1.2× 3.0k 1.4× 3.5k 2.8× 1.5k 2.2× 410 12.7k
Wayne L. Hofstetter 8.2k 1.3× 7.7k 2.8× 2.7k 1.3× 1.1k 0.9× 1.5k 2.2× 380 12.2k
Irene Floriani 2.3k 0.4× 1.8k 0.6× 3.3k 1.6× 1.1k 0.9× 1.2k 1.7× 159 8.3k
Manjit S. Bains 12.0k 1.9× 8.0k 2.9× 3.6k 1.8× 1.8k 1.4× 650 1.0× 307 16.6k

Countries citing papers authored by Gail Darling

Since Specialization
Citations

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

Fields of papers citing papers by Gail Darling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gail Darling

This figure shows the co-authorship network connecting the top 25 collaborators of Gail Darling. A scholar is included among the top collaborators of Gail Darling 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 Gail Darling. Gail Darling 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
2.
Bolger, Jarlath, Nikolina Radulovich, Christine Ng, et al.. (2024). Patient-derived organoids for prediction of treatment response in oesophageal adenocarcinoma. British journal of surgery. 111(1).
3.
Pathak, Gopal P., Rashmi R. Shah, Mathieu Castonguay, et al.. (2024). Temporal Effect on PDL1 Detection and Novel Insights Into Its Clinical Implications in Non–Small Cell Lung Cancer. Cancer Medicine. 13(19). e70262–e70262. 1 indexed citations
4.
Goss, Geraldine, Gail Darling, Virginie Westeel, et al.. (2024). LBA48 CCTG BR.31: A global, double-blind placebo-controlled, randomized phase III study of adjuvant durvalumab in completely resected non-small cell lung cancer (NSCLC). Annals of Oncology. 35. S1238–S1238. 17 indexed citations
5.
Randall, Ian, Darren Au, Andrew Matthew, et al.. (2024). Starting a surgical prehabilitation program: results from a pragmatic nonrandomized feasibility study. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 72(1). 162–172. 2 indexed citations
6.
Wright, Frances C., et al.. (2023). Refining the thoracic surgical oncology regionalization standards for esophageal surgery in Ontario, Canada: Moving from good to better. Journal of Thoracic and Cardiovascular Surgery. 166(6). 1502–1509. 1 indexed citations
7.
Bolger, Jarlath, et al.. (2023). Nodal Yield <15 Is Associated With Reduced Survival in Esophagectomy and Is a Quality Metric. The Annals of Thoracic Surgery. 116(1). 130–136. 3 indexed citations
8.
Tan, Vivian, Michael C. Tjong, Wing C. Chan, et al.. (2023). Pain and Interventions in Stage IV Non-Small Cell Lung Cancer: A Province-Wide Analysis. Current Oncology. 30(3). 3461–3472. 4 indexed citations
9.
Hallet, Julie, Angela Jerath, Antoine Eskander, et al.. (2023). The association between hospital high-volume anesthesiology care and patient outcomes for complex gastrointestinal cancer surgery: A population-based study. HPB. 25. S62–S62. 2 indexed citations
11.
Bolger, Jarlath, et al.. (2022). Radical Resection in an Era of Immune Therapy for Primary Esophageal Melanoma. The Annals of Thoracic Surgery. 114(6). e423–e425. 2 indexed citations
12.
Turner, Simon R., J.D. Artz, Gail Darling, et al.. (2022). Diversity in National Society Leadership and Podium Speakers in Cardiothoracic Surgery. The Annals of Thoracic Surgery. 114(2). 561–566. 4 indexed citations
13.
Dai, Wei Fang, Maureen Trudeau, Rebecca E. Mercer, et al.. (2020). Impact of rarity on Canadian oncology health technology assessment and funding. International Journal of Technology Assessment in Health Care. 36(4). 404–409. 4 indexed citations
15.
Khan, Amir, R. Zamel, Gail Darling, et al.. (2014). EBUS-TBNA and Choice of Sedation: A Comparison Between General and Conscious Sedation Performed in OR and OPD Settings Respectively and Cost Implications. CHEST Journal. 146(4). 749A–749A. 2 indexed citations
16.
Booth, Christopher M., Frances A. Shepherd, Yingwei Peng, et al.. (2010). Adoption of Adjuvant Chemotherapy for Non–Small-Cell Lung Cancer: A Population-Based Outcomes Study. Journal of Clinical Oncology. 28(21). 3472–3478. 54 indexed citations
17.
Falkson, Conrad, Andrea Bezjak, Gail Darling, et al.. (2009). The Management of Thymoma: A Systematic Review and Practice Guideline. Journal of Thoracic Oncology. 4(7). 911–919. 192 indexed citations
18.
Lau, Suzanne K., Paul C. Boutros, Melania Pintilie, et al.. (2007). Three-Gene Prognostic Classifier for Early-Stage Non–Small-Cell Lung Cancer. Journal of Clinical Oncology. 25(35). 5562–5569. 189 indexed citations
19.
Roberts, Heidi, Demetris Patsios, Narinder Paul, et al.. (2007). Lung cancer screening with low-dose computed tomography: Canadian experience.. PubMed. 58(4). 225–35. 40 indexed citations
20.
Darling, Gail. (1997). STAGING OF THE PATIENT WITH SMALL CELL LUNG CANCER. Chest Surgery Clinics of North America. 7(1). 81–94. 2 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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