Anna Kerpel-Fronius

644 total citations
22 papers, 243 citations indexed

About

Anna Kerpel-Fronius is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Anna Kerpel-Fronius has authored 22 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 14 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Oncology. Recurrent topics in Anna Kerpel-Fronius's work include Lung Cancer Diagnosis and Treatment (15 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Lung Cancer Treatments and Mutations (6 papers). Anna Kerpel-Fronius is often cited by papers focused on Lung Cancer Diagnosis and Treatment (15 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Lung Cancer Treatments and Mutations (6 papers). Anna Kerpel-Fronius collaborates with scholars based in Hungary, United States and Canada. Anna Kerpel-Fronius's co-authors include Stephen Lam, Martin C. Tammemägi, Anant Mohan, Dawei Yang, Milena Čavić, Rudolf M. Huber, Ella A. Kazerooni, Claudia I. Henschke, Andrea Borondy Kitts and Luigi Ventura and has published in prestigious journals such as Journal of Clinical Oncology, European Respiratory Journal and European Radiology.

In The Last Decade

Anna Kerpel-Fronius

18 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Kerpel-Fronius Hungary 8 144 63 60 31 30 22 243
Valentina Massa Italy 9 39 0.3× 79 1.3× 20 0.3× 7 0.2× 40 1.3× 30 188
Silvia Ministrini Italy 10 183 1.3× 40 0.6× 10 0.2× 11 0.4× 17 0.6× 20 305
İsmail Savaş Türkiye 8 95 0.7× 53 0.8× 16 0.3× 64 2.1× 93 3.1× 35 314
J. Ramón Quirós Spain 4 42 0.3× 89 1.4× 13 0.2× 18 0.6× 21 0.7× 4 187
Metoda Dodič-Fikfak Slovenia 12 190 1.3× 17 0.3× 14 0.2× 54 1.7× 63 2.1× 33 310
Ning Cheng China 9 40 0.3× 33 0.5× 20 0.3× 14 0.5× 92 3.1× 21 300
Yuko Sakakibara Japan 7 81 0.6× 85 1.3× 29 0.5× 27 0.9× 40 1.3× 34 258
Christine Chang United States 6 55 0.4× 26 0.4× 27 0.5× 51 1.6× 26 0.9× 7 165
Casey Connolly United States 2 83 0.6× 100 1.6× 18 0.3× 29 0.9× 29 1.0× 4 177

Countries citing papers authored by Anna Kerpel-Fronius

Since Specialization
Citations

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

Fields of papers citing papers by Anna Kerpel-Fronius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Kerpel-Fronius. 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 Anna Kerpel-Fronius. The network helps show where Anna Kerpel-Fronius may publish in the future.

Co-authorship network of co-authors of Anna Kerpel-Fronius

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Kerpel-Fronius. A scholar is included among the top collaborators of Anna Kerpel-Fronius 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 Anna Kerpel-Fronius. Anna Kerpel-Fronius 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.
Smeltzer, Matthew P., Jennifer C. King, Casey Connolly, et al.. (2025). The 2024 International Association for the Study of Lung Cancer Global Survey on Biomarker Testing. Journal of Thoracic Oncology. 20(12). 1801–1813.
2.
Fülöp, Andrea, Jeovanis Gil, Anita Rózsás, et al.. (2024). Machine Learning-enhanced X-ray-based Radiomics in the Identification of Post-COVID Patients. Archivos de Bronconeumología. 61(4). 232–234.
3.
4.
Smeltzer, Matthew P., Sylvie Lantuéjoul, Ross A. Soo, et al.. (2024). OA03.03 The 2024 International Association for the Study of Lung Cancer (IASLC) Global Survey on Biomarker Testing. Journal of Thoracic Oncology. 19(10). S12–S13. 1 indexed citations
5.
Kerpel-Fronius, Anna & Krisztina Bogos. (2024). HUNCHEST projects—advancing low-dose CT lung cancer screening in Hungary. Pathology & Oncology Research. 30. 1611635–1611635. 1 indexed citations
6.
7.
Dóra, Dávid, Glen J. Weiss, Zsolt Megyesfalvi, et al.. (2023). Computed Tomography-Based Quantitative Texture Analysis and Gut Microbial Community Signatures Predict Survival in Non-Small Cell Lung Cancer. Cancers. 15(20). 5091–5091. 8 indexed citations
8.
Berg, Christine D., Joan H. Schiller, Paolo Boffetta, et al.. (2023). Air Pollution and Lung Cancer: A Review by International Association for the Study of Lung Cancer Early Detection and Screening Committee. Journal of Thoracic Oncology. 18(10). 1277–1289. 71 indexed citations
9.
Baldwin, David, Emma O’Dowd, Anna Kerpel-Fronius, et al.. (2023). Developing a pan-European technical standard for a comprehensive high-quality lung cancer computed tomography screening programme: an ERS technical standard. European Respiratory Journal. 61(6). 2300128–2300128. 16 indexed citations
10.
11.
Nagy, Balàzs, et al.. (2022). Shall We Screen Lung Cancer With Low-Dose Computed Tomography? Cost-Effectiveness in Hungary. Value in Health Regional Issues. 34. 55–64. 4 indexed citations
12.
Kerpel-Fronius, Anna, Gábor G. Kovács, Gyula Ostoros, et al.. (2022). Nationwide lung cancer screening with low-dose computed tomography: implementation and first results of the HUNCHEST screening program. European Radiology. 32(7). 4457–4467. 16 indexed citations
13.
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
14.
Huber, Rudolf M., Milena Čavić, Anna Kerpel-Fronius, et al.. (2021). Lung Cancer Screening Considerations During Respiratory Infection Outbreaks, Epidemics or Pandemics: An International Association for the Study of Lung Cancer Early Detection and Screening Committee Report. Journal of Thoracic Oncology. 17(2). 228–238. 15 indexed citations
15.
Nagy, Balàzs, et al.. (2021). A kis dózisú komputertomográfiával történő tüdőrákszűrés költségvetési hatása. Orvosi Hetilap. 162(24). 952–959. 4 indexed citations
16.
Vokó, Zoltán, Mariann Moizs, Anna Kerpel-Fronius, et al.. (2019). Cost-effectiveness analysis of low-dose computed tomography screening for lung cancer in Hungary. European Journal of Public Health. 29(Supplement_4). 1 indexed citations
17.
Bikov, András, Imre Barta, Gabriella Gálffy, et al.. (2018). Assessment of the circulating klotho protein in lung cancer patients. Pathology & Oncology Research. 26(1). 233–238. 16 indexed citations
18.
Kerpel-Fronius, Anna, et al.. (2018). Kezdeti tapasztalatok a HUNCHEST – alacsony dózisú CT-tüdőrákszűrési pilotprogrammal. Orvosi Hetilap. 159(43). 1741–1746. 3 indexed citations
19.
Nagy, Balàzs, Anna Kerpel-Fronius, Gábor Bajzik, et al.. (2017). Modelling Patient Pathways Of Low-Dose Computed Tomography Screening For Lung Cancer In Hungary. Value in Health. 20(9). A750–A750. 2 indexed citations
20.
Vokó, Zoltán, Anna Kerpel-Fronius, Gábor Bajzik, et al.. (2017). Az alacsony dózisú CT-vel végzett tüdőrákszűrés magyarországi egészség-gazdaságtani elemzésének koncepcionális terve | Model concept of the health economic evaluation of low-dose CT lung cancer screening in Hungary. 3 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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