Joan Walter

6.4k total citations · 1 hit paper
39 papers, 1.0k citations indexed

About

Joan Walter is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Joan Walter has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Pulmonary and Respiratory Medicine and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Joan Walter's work include Lung Cancer Diagnosis and Treatment (17 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Lung Cancer Treatments and Mutations (11 papers). Joan Walter is often cited by papers focused on Lung Cancer Diagnosis and Treatment (17 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Lung Cancer Treatments and Mutations (11 papers). Joan Walter collaborates with scholars based in Switzerland, Netherlands and United States. Joan Walter's co-authors include Matthijs Oudkerk, Marjolein A. Heuvelmans, Shiyuan Liu, John K. Field, Rozemarijn Vliegenthart, Harry J. de Koning, Harry J.M. Groen, Uraujh Yousaf-Khan, Carlijn M. van der Aalst and Peter M. A. van Ooijen and has published in prestigious journals such as Nature Communications, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Joan Walter

38 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Lung cancer LDCT screening and mortality reduction — evidence, pitfalls and future perspectives

2020 312 citations Matthijs Oudkerk, Shiyuan Liu et al. Nature Reviews Clinical Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joan Walter Switzerland	16	667	413	164	162	148	39	1.0k
Iván Vollmer Spain	16	434 0.7×	162 0.4×	178 1.1×	123 0.8×	79 0.5×	87	723
Dorota Gabryś Poland	12	410 0.6×	475 1.2×	186 1.1×	140 0.9×	52 0.4×	46	1.1k
Panwen Tian China	20	737 1.1×	186 0.5×	403 2.5×	265 1.6×	75 0.5×	96	1.2k
Girish S. Shroff United States	15	451 0.7×	198 0.5×	228 1.4×	207 1.3×	54 0.4×	97	1.0k
Bernard Duysinx Belgium	16	613 0.9×	274 0.7×	107 0.7×	93 0.6×	22 0.1×	81	884
Jeffrey Mueller United States	13	273 0.4×	137 0.3×	150 0.9×	142 0.9×	67 0.5×	39	832
Joep G.H. van Roermund Netherlands	20	573 0.9×	78 0.2×	182 1.1×	149 0.9×	52 0.4×	41	914
Xiaoyue Zhou China	18	152 0.2×	481 1.2×	104 0.6×	156 1.0×	445 3.0×	122	1.1k
Alexander N. Hanania United States	10	298 0.4×	323 0.8×	261 1.6×	94 0.6×	21 0.1×	24	732

Countries citing papers authored by Joan Walter

Since Specialization

Citations

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

Fields of papers citing papers by Joan Walter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Walter

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

All Works

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20 of 20 papers shown

Bock, Christian, Joan Walter, Bastian Rieck, et al.. (2024). Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning. Nature Communications. 15(1). 5034–5034. 9 indexed citations

Martini, Katharina, Bettina Baeßler, Thomas Sartoretti, et al.. (2022). Semi-automated volumetry of pulmonary nodules: Intra-individual comparison of standard dose and chest X-ray equivalent ultralow dose chest CT scans. European Journal of Radiology. 156. 110549–110549. 4 indexed citations

Li, Xinmin S., Joan Walter, Zeneng Wang, et al.. (2022). Gut microbiota-dependent metabolite trimethylamine N-oxide (TMAO) and cardiovascular risk in patients with suspected functionally relevant coronary artery disease (fCAD). Clinical Research in Cardiology. 111(6). 692–704. 19 indexed citations

Koechlin, Luca, Jasper Boeddinghaus, Thomas Nestelberger, et al.. (2022). Lower diagnostic accuracy of hs-cTnI in patients with prior coronary artery bypass grafting. International Journal of Cardiology. 354. 1–6. 1 indexed citations

Wildi, Karin, Jasper Boeddinghaus, Thomas Nestelberger, et al.. (2021). External validation of the clinical chemistry score. Clinical Biochemistry. 91. 16–25. 3 indexed citations

Zimmermann, Tobias, Joan Walter, Pedro López‐Ayala, et al.. (2021). Influence of Renin-Angiotensin-Aldosterone System Inhibitors on Plasma Levels of Angiotensin-Converting Enzyme 2. ESC Heart Failure. 8(2). 1717–1721. 6 indexed citations

Wussler, Desirée, Danielle Menosi Gualandro, Samyut Shrestha, et al.. (2021). Effect of a Strategy of Comprehensive Vasodilation Versus Usual Care on Health-Related Quality of Life Among Patients with Acute Heart Failure. ESC Heart Failure. 8(5). 4218–4227. 5 indexed citations

Kozhuharov, Nikola, Desirée Wussler, Thomas E Kaier, et al.. (2021). Cardiac myosin‐binding protein C in the diagnosis and risk stratification of acute heart failure. European Journal of Heart Failure. 23(5). 716–725. 7 indexed citations

Suthahar, Navin, Laura M G Meems, Dirk J. van Veldhuisen, et al.. (2020). High-Sensitivity Troponin-T and Cardiovascular Outcomes in the Community: Differences Between Women and Men. Mayo Clinic Proceedings. 95(6). 1158–1168. 11 indexed citations

10.

Martini, Katharina, Christian Blüthgen, Joan Walter, et al.. (2020). Patterns of organizing pneumonia and microinfarcts as surrogate for endothelial disruption and microangiopathic thromboembolic events in patients with coronavirus disease 2019. PLoS ONE. 15(10). e0240078–e0240078. 6 indexed citations

11.

Oudkerk, Matthijs, Shiyuan Liu, Marjolein A. Heuvelmans, Joan Walter, & John K. Field. (2020). Lung cancer LDCT screening and mortality reduction — evidence, pitfalls and future perspectives. Nature Reviews Clinical Oncology. 18(3). 135–151. 312 indexed citations breakdown →

12.

Walter, Joan, Marjolein A. Heuvelmans, Uraujh Yousaf-Khan, et al.. (2018). New Subsolid Pulmonary Nodules in Lung Cancer Screening: The NELSON Trial. Journal of Thoracic Oncology. 13(9). 1410–1414. 46 indexed citations

13.

Walter, Joan, Marjolein A. Heuvelmans, R. Vliegenthart, et al.. (2018). P2.11-24 Impact of Screening Interval Length on New Nodules Detected in Incidence Rounds of CT Lung Cancer Screening: the NELSON Trial. Journal of Thoracic Oncology. 13(10). S788–S788. 1 indexed citations

14.

Walter, Joan, Marjolein A. Heuvelmans, R. Vliegenthart, et al.. (2018). P2.11-02 Direct Comparison of New Solid Nodules Detected in Women and Men During Incidence Screening Rounds of the NELSON Trial. Journal of Thoracic Oncology. 13(10). S779–S780. 2 indexed citations

15.

Walter, Joan, Marjolein A. Heuvelmans, Geertruida H. de Bock, et al.. (2018). Relationship between the number of new nodules and lung cancer probability in incidence screening rounds of CT lung cancer screening: The NELSON study. Lung Cancer. 125. 103–108. 37 indexed citations

16.

Walter, Joan, Marjolein A. Heuvelmans, Geertruida H. de Bock, et al.. (2018). Characteristics of new solid nodules detected in incidence screening rounds of low-dose CT lung cancer screening: the NELSON study. Thorax. 73(8). 741–747. 38 indexed citations

17.

Walter, Joan, Jeanne du Fay de Lavallaz, Ivo Strebel, et al.. (2018). Clinical utility of circulating interleukin-6 concentrations in the detection of functionally relevant coronary artery disease. International Journal of Cardiology. 275. 20–25. 12 indexed citations

18.

Heuvelmans, Marjolein A., Joan Walter, Robin Peters, et al.. (2017). Relationship between nodule count and lung cancer probability in baseline CT lung cancer screening: The NELSON study. Lung Cancer. 113. 45–50. 63 indexed citations

19.

Yousaf-Khan, Uraujh, Carlijn van der Aalst, Pim A. de Jong, et al.. (2017). Risk stratification based on screening history: the NELSON lung cancer screening study. Thorax. 72(9). 819–824. 48 indexed citations

20.

Walter, Joan, Marjolein A. Heuvelmans, & Matthijs Oudkerk. (2017). Small pulmonary nodules in baseline and incidence screening rounds of low-dose CT lung cancer screening. Translational Lung Cancer Research. 6(1). 42–51. 26 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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