Heidi Schmidt

1.4k total citations
34 papers, 648 citations indexed

About

Heidi Schmidt is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Heidi Schmidt has authored 34 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 10 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Surgery. Recurrent topics in Heidi Schmidt's work include Lung Cancer Diagnosis and Treatment (16 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Lung Cancer Treatments and Mutations (6 papers). Heidi Schmidt is often cited by papers focused on Lung Cancer Diagnosis and Treatment (16 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Lung Cancer Treatments and Mutations (6 papers). Heidi Schmidt collaborates with scholars based in Canada, United States and Germany. Heidi Schmidt's co-authors include Klara Tenner‐Racz, Martin C. Tammemägi, Paul Rácz, Stephen Lam, Ming‐Sound Tsao, Sukhinder Atkar-Khattra, Rick Bhatia, Yvonne Leung, A Louie and Mikuláš Popovič and has published in prestigious journals such as Radiology, CHEST Journal and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Heidi Schmidt

32 papers receiving 635 citations

Peers

Heidi Schmidt
Stanley J. Geyer United States
Massimo Attanasio Italy
Roland Bassett United States
James Kitinya Tanzania
Siddharth Sheth United States
Randal K. Detwiler United States
Thomas W. McDonald United States
Laurent Roche France
Carmen Rubio Spain
Amy C. Dwyer United States
Stanley J. Geyer United States
Heidi Schmidt
Citations per year, relative to Heidi Schmidt Heidi Schmidt (= 1×) peers Stanley J. Geyer

Countries citing papers authored by Heidi Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Heidi Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heidi Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Heidi Schmidt. A scholar is included among the top collaborators of Heidi Schmidt 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 Heidi Schmidt. Heidi Schmidt 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.
Hanneman, Kate, Anish Kirpalani, Birgit Ertl‐Wagner, et al.. (2024). Increased Emergency Department Medical Imaging: Association with Short-Term Exposures to Ambient Heat and Particulate Air Pollution. Radiology. 313(2). e241624–e241624. 11 indexed citations
2.
Tammemägi, Martin C., Gail Darling, Heidi Schmidt, et al.. (2021). Selection of individuals for lung cancer screening based on risk prediction model performance and economic factors – The Ontario experience. Lung Cancer. 156. 31–40. 16 indexed citations
3.
Kerpel-Fronius, Anna, Martin C. Tammemägi, Milena Čavić, et al.. (2021). Screening for Lung Cancer in Individuals Who Never Smoked: An International Association for the Study of Lung Cancer Early Detection and Screening Committee Report. Journal of Thoracic Oncology. 17(1). 56–66. 68 indexed citations
4.
Goffin, John R., Gregory R. Pond, Serge Puksa, et al.. (2020). Chronic obstructive pulmonary disease prevalence and prediction in a high-risk lung cancer screening population. BMC Pulmonary Medicine. 20(1). 300–300. 13 indexed citations
5.
Darling, Gail, Martin C. Tammemägi, Heidi Schmidt, et al.. (2020). Organized Lung Cancer Screening Pilot: Informing a Province-Wide Program in Ontario, Canada. The Annals of Thoracic Surgery. 111(6). 1805–1811. 42 indexed citations
6.
Taghizadeh, Niloofar, Alain Tremblay, Sonya Cressman, et al.. (2019). Health-related quality of life and anxiety in the PAN-CAN lung cancer screening cohort. BMJ Open. 9(1). e024719–e024719. 38 indexed citations
7.
Thomas, Mary V., et al.. (2019). PCN289 READINESS OF HEALTH SYSTEMS FOR THE INTRODUCTION OF TUMOUR-AGNOSTIC TREATMENT. Value in Health. 22. S492–S492. 1 indexed citations
8.
Menezes, Ravi, Katrina Hueniken, Grainne M. O’Kane, et al.. (2019). Outcomes of Long-term Interval Rescreening With Low-Dose Computed Tomography for Lung Cancer in Different Risk Cohorts. Journal of Thoracic Oncology. 14(6). 1003–1011. 9 indexed citations
9.
Huang, Peng, Cheng Ting Lin, Yuliang Li, et al.. (2019). Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method. The Lancet Digital Health. 1(7). e353–e362. 88 indexed citations
10.
Darling, Gail, Heidi Schmidt, Mengxue Yu, et al.. (2018). MA20.06 Lung Cancer Screening Pilot for People at High Risk: Early Results on Cancer Detection and Staging. Journal of Thoracic Oncology. 13(10). S427–S427. 1 indexed citations
11.
McInnis, Micheal, Gordon L. Weisbrod, & Heidi Schmidt. (2018). Advanced Technologies for Imaging and Visualization of the Tracheobronchial Tree. Thoracic surgery clinics/Thorac. surg. clin.. 28(2). 127–137. 7 indexed citations
12.
Turner, J. Rick, Gregory R. Pond, Alain Tremblay, et al.. (2018). P2.11-23 Risk Perception Among a Lung Cancer Screening Population. Journal of Thoracic Oncology. 13(10). S788–S788.
13.
Nguyen, Timothy K., Suresh Senan, K. Franks, et al.. (2017). Optimal imaging surveillance after stereotactic ablative radiation therapy for early-stage non-small cell lung cancer: Findings of an International Delphi Consensus Study. Practical Radiation Oncology. 8(2). e71–e78. 26 indexed citations
14.
Taylor, Jana, Daria Manos, Heidi Schmidt, Marie‐Hélène Lévesque, & Micheal McInnis. (2017). Canadian Association of Radiologists: Guide on Computed Tomography Screening for Lung Cancer. Canadian Association of Radiologists Journal. 68(3). 334–341. 1 indexed citations
15.
Martin, Danielle, et al.. (2016). 1-800 Imaging: Building Partnerships Between Primary Care and Medical Imaging. Journal of the American College of Radiology. 14(2). 286–289. 1 indexed citations
16.
Jacobs, Colin, Wei Zhang, John R. Mayo, et al.. (2016). Computer Vision Tool and Technician as First Reader of Lung Cancer Screening CT Scans. Journal of Thoracic Oncology. 11(5). 709–717. 31 indexed citations
17.
Schmidt, Heidi, et al.. (2015). After the Fact. Journal of Correctional Health Care. 21(2). 140–151. 6 indexed citations
18.
Burger, Bruno, Heidi Schmidt, B. Bletterie, et al.. (2009). Are we Benchmarking Inverters on the Basis of Outdated Definitions of the European and CEC Efficiency?. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 3638–3643. 13 indexed citations
19.
Tenner‐Racz, Klara, Paul Rácz, Heidi Schmidt, et al.. (1988). Immunohistochemical, electron microscopic and in situ hybridization evidence for the involvement of lymphatics in the spread of HIV-1. AIDS. 2(4). 299–311. 60 indexed citations
20.
Wilde, Jonathan I., et al.. (1983). [Effectiveness of photofluorography screening studies in the early detection of bronchial carcinoma].. PubMed. 160(2). 128–41. 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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