Zaigham Saghir

1.9k total citations
40 papers, 1.2k citations indexed

About

Zaigham Saghir is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Zaigham Saghir has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pulmonary and Respiratory Medicine, 16 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in Zaigham Saghir's work include Lung Cancer Diagnosis and Treatment (27 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Lung Cancer Treatments and Mutations (14 papers). Zaigham Saghir is often cited by papers focused on Lung Cancer Diagnosis and Treatment (27 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Lung Cancer Treatments and Mutations (14 papers). Zaigham Saghir collaborates with scholars based in Denmark, Netherlands and Norway. Zaigham Saghir's co-authors include Jesper Holst Pedersen, Haseem Ashraf, Asger Dirksen, Mathilde Marie Winkler Wille, Laura H. Thomsen, Birgit Guldhammer Skov, Philip Tønnesen, John Brodersen, Jakob Fraes Rasmussen and Paul Frost Clementsen and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Scientific Reports and Radiology.

In The Last Decade

Zaigham Saghir

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zaigham Saghir Denmark 15 1.0k 527 214 77 62 40 1.2k
Mathilde Marie Winkler Wille Denmark 16 735 0.7× 416 0.8× 85 0.4× 46 0.6× 59 1.0× 32 929
K. Eguchi Japan 16 1.1k 1.1× 756 1.4× 315 1.5× 84 1.1× 115 1.9× 81 1.5k
Yingli Yang United States 26 964 1.0× 1.4k 2.6× 142 0.7× 119 1.5× 226 3.6× 76 2.0k
Irene M. Lips Netherlands 20 757 0.8× 518 1.0× 211 1.0× 448 5.8× 212 3.4× 41 1.4k
C. Rowbottom United Kingdom 21 813 0.8× 746 1.4× 116 0.5× 178 2.3× 178 2.9× 69 1.5k
Eliana Vásquez Osorio United Kingdom 17 478 0.5× 672 1.3× 66 0.3× 91 1.2× 154 2.5× 88 1.1k
Giulia Picozzi Italy 16 975 1.0× 652 1.2× 197 0.9× 78 1.0× 68 1.1× 36 1.2k
Jan‐Martin Kuhnigk Germany 18 880 0.9× 943 1.8× 69 0.3× 54 0.7× 175 2.8× 44 1.4k
Éric Pichon France 16 356 0.4× 147 0.3× 261 1.2× 72 0.9× 45 0.7× 70 896
Karen Bach Denmark 11 741 0.7× 367 0.7× 139 0.6× 93 1.2× 43 0.7× 18 875

Countries citing papers authored by Zaigham Saghir

Since Specialization
Citations

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

Fields of papers citing papers by Zaigham Saghir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaigham Saghir

This figure shows the co-authorship network connecting the top 25 collaborators of Zaigham Saghir. A scholar is included among the top collaborators of Zaigham Saghir 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 Zaigham Saghir. Zaigham Saghir 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.
Saghir, Zaigham, et al.. (2024). Identifying the population to be targeted in a lung cancer screening programme in Denmark. BMJ Open Respiratory Research. 11(1). e002499–e002499. 1 indexed citations
2.
Saghir, Zaigham, Ernst T. Scholten, Cornelia Schaefer‐Prokop, et al.. (2024). Enhancing a deep learning model for pulmonary nodule malignancy risk estimation in chest CT with uncertainty estimation. European Radiology. 34(10). 6639–6651.
3.
Saghir, Zaigham, et al.. (2024). Management of incidental pulmonary nodules in CT examination. Ugeskrift for Læger. 186(14). 1–9. 1 indexed citations
4.
Rasmussen, Torben Riis, Erik Jakobsen, Karin Hjorthaug, et al.. (2024). Impact of multidisciplinary team discrepancies on comparative lung cancer outcome analyses and treatment equality. BMC Cancer. 24(1). 1423–1423. 2 indexed citations
5.
6.
Jacobs, Colin, et al.. (2023). Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT. Radiology. 308(3). e230275–e230275. 8 indexed citations
7.
Scholten, Ernst T., Zaigham Saghir, Mario Silva, et al.. (2023). Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules. Radiology. 308(2). e223308–e223308. 14 indexed citations
8.
Christensen, Thomas Decker, Morten Bendixen, Søren Helbo Skaarup, et al.. (2022). Intrapleural fibrinolysis and DNase versus video-assisted thoracic surgery (VATS) for the treatment of pleural empyema (FIVERVATS): protocol for a randomised, controlled trial – surgery as first-line treatment. BMJ Open. 12(3). e054236–e054236. 8 indexed citations
9.
Saghir, Zaigham, et al.. (2021). Creating a training set for artificial intelligence from initial segmentations of airways. European Radiology Experimental. 5(1). 54–54. 7 indexed citations
10.
Setio, Arnaud A. A., Anton Schreuder, Ernst T. Scholten, et al.. (2021). Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT. Radiology. 300(2). 438–447. 98 indexed citations
11.
Hoyer, Nils, Laura H. Thomsen, Mathilde Marie Winkler Wille, et al.. (2020). Increased respiratory morbidity in individuals with interstitial lung abnormalities. BMC Pulmonary Medicine. 20(1). 67–67. 16 indexed citations
12.
Tennakoon, Ruwan, Gerda Bortsova, Amirali Khodadadian Gostar, et al.. (2019). Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem. IEEE Transactions on Medical Imaging. 39(4). 854–865. 15 indexed citations
13.
Østrup, Oľga, Boe Sandahl Sørensen, Peter Meldgaard, et al.. (2019). Surveillance With PET/CT and Liquid Biopsies of Stage I-III Lung Cancer Patients After Completion of Definitive Therapy: A Randomized Controlled Trial (SUPER). Clinical Lung Cancer. 21(2). e61–e64. 3 indexed citations
14.
Bons, Lidia R., Klaus F. Kofoed, Jesper Holst Pedersen, et al.. (2019). Growth of the thoracic aorta in the smoking population: The Danish Lung Cancer Screening Trial. International Journal of Cardiology. 299. 276–281. 7 indexed citations
15.
Wille, Mathilde Marie Winkler, Asger Dirksen, Haseem Ashraf, et al.. (2015). Results of the Randomized Danish Lung Cancer Screening Trial with Focus on High-Risk Profiling. American Journal of Respiratory and Critical Care Medicine. 193(5). 542–551. 235 indexed citations
16.
Ashraf, Haseem, Zaigham Saghir, Asger Dirksen, et al.. (2014). Smoking habits in the randomised Danish Lung Cancer Screening Trial with low-dose CT: final results after a 5-year screening programme. Thorax. 69(6). 574–579. 71 indexed citations
17.
Rasmussen, Jakob Fraes, Volkert Siersma, Jesper Holst Pedersen, et al.. (2014). Healthcare costs in the Danish randomised controlled lung cancer CT-screening trial: A registry study. Lung Cancer. 83(3). 347–355. 32 indexed citations
18.
Saghir, Zaigham, Asger Dirksen, Haseem Ashraf, et al.. (2012). CT screening for lung cancer brings forward early disease. The randomised Danish Lung Cancer Screening Trial: status after five annual screening rounds with low-dose CT. Thorax. 67(4). 296–301. 301 indexed citations
19.
Petersen, Jens, Mads Nielsen, Pechin Lo, et al.. (2011). Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation. Lecture notes in computer science. 22. 49–60. 25 indexed citations
20.
Saghir, Zaigham, Haseem Ashraf, Asger Dirksen, John Brodersen, & Jesper Holst Pedersen. (2010). Contamination during 4 years of annual CT screening in the Danish Lung Cancer Screening Trial (DLCST). Lung Cancer. 71(3). 323–327. 18 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mathilde Marie Winkler Wille Breakdown of academic impact, for papers by K. Eguchi Breakdown of academic impact, for papers by Yingli Yang Breakdown of academic impact, for papers by Irene M. Lips Breakdown of academic impact, for papers by C. Rowbottom Breakdown of academic impact, for papers by Eliana Vásquez Osorio Breakdown of academic impact, for papers by Giulia Picozzi Breakdown of academic impact, for papers by Jan‐Martin Kuhnigk Breakdown of academic impact, for papers by Éric Pichon Breakdown of academic impact, for papers by Karen Bach
Rankless by CCL
2026