Jan Lukas Robertus

1.3k total citations · 1 hit paper
31 papers, 562 citations indexed

About

Jan Lukas Robertus is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jan Lukas Robertus has authored 31 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 9 papers in Cardiology and Cardiovascular Medicine and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jan Lukas Robertus's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging and Pathology Studies (4 papers) and Cardiovascular Effects of Exercise (3 papers). Jan Lukas Robertus is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging and Pathology Studies (4 papers) and Cardiovascular Effects of Exercise (3 papers). Jan Lukas Robertus collaborates with scholars based in United Kingdom, Netherlands and United States. Jan Lukas Robertus's co-authors include Danny Jonigk, Sebastian Marussi, Alexandre Bellier, Maximilian Ackermann, Daniyal J. Jafree, Joseph Jacob, Natalie Holroyd, Mark Kühnel, Claire Walsh and Simon Walker‐Samuel and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Nature Methods.

In The Last Decade

Jan Lukas Robertus

31 papers receiving 547 citations

Hit Papers

Imaging intact human organs with local resolution of cell... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Lukas Robertus United Kingdom 13 148 140 138 116 102 31 562
Nick Byrne United Kingdom 15 136 0.9× 117 0.8× 234 1.7× 258 2.2× 109 1.1× 33 718
Harsh Agarwal United States 16 345 2.3× 395 2.8× 81 0.6× 94 0.8× 96 0.9× 46 795
Christian Jansen United Kingdom 18 333 2.3× 463 3.3× 204 1.5× 166 1.4× 271 2.7× 54 968
Shigeyuki Naka Japan 19 169 1.1× 196 1.4× 229 1.7× 239 2.1× 12 0.1× 76 802
Remy Klaassen Netherlands 16 133 0.9× 526 3.8× 108 0.8× 68 0.6× 16 0.2× 28 797
Lee Chin Canada 16 71 0.5× 304 2.2× 109 0.8× 300 2.6× 17 0.2× 50 618
Julien Bec United States 21 207 1.4× 602 4.3× 234 1.7× 574 4.9× 25 0.2× 69 1.1k
C. Rodríguez Argentina 10 329 2.2× 76 0.5× 59 0.4× 253 2.2× 49 0.5× 46 559
Sae‐Ryung Kang South Korea 14 114 0.8× 301 2.1× 74 0.5× 127 1.1× 59 0.6× 54 637

Countries citing papers authored by Jan Lukas Robertus

Since Specialization
Citations

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

Fields of papers citing papers by Jan Lukas Robertus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Lukas Robertus. 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 Jan Lukas Robertus. The network helps show where Jan Lukas Robertus may publish in the future.

Co-authorship network of co-authors of Jan Lukas Robertus

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Lukas Robertus. A scholar is included among the top collaborators of Jan Lukas Robertus 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 Jan Lukas Robertus. Jan Lukas Robertus 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.
Robertus, Jan Lukas, et al.. (2025). Systematic scoping review of external validation studies of AI pathology models for lung cancer diagnosis. npj Precision Oncology. 9(1). 166–166. 5 indexed citations
2.
Şahin, Mehmet, Anh Pham, Eunyoung Kim, et al.. (2024). How can quantum computing be applied in clinical trial design and optimization?. Trends in Pharmacological Sciences. 45(10). 880–891. 13 indexed citations
3.
Şahin, Mehmet, Benjamin C. B. Symons, Pushpak Pati, et al.. (2024). Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training. Quantum. 8. 1502–1502. 4 indexed citations
4.
Eastwood, Mark, Heba Sailem, Xiaohong Gao, et al.. (2023). MesoGraph: Automatic profiling of mesothelioma subtypes from histological images. Cell Reports Medicine. 4(10). 101226–101226. 7 indexed citations
5.
Randeva, Harpal, Danny Jonigk, Christopher Werlein, et al.. (2022). Protein expression of transmembrane protease serine 4 in the gastrointestinal tract and in healthy, cancer, and SARS‑CoV‑2 infected lungs. Molecular Medicine Reports. 25(4). 3 indexed citations
6.
Born, Jannis, David Beymer, Deepta Rajan, et al.. (2021). On the role of artificial intelligence in medical imaging of COVID-19. Patterns. 2(6). 100269–100269. 38 indexed citations
7.
Walsh, Claire, Paul Tafforeau, Willi L. Wagner, et al.. (2021). Imaging intact human organs with local resolution of cellular structures using hierarchical phase-contrast tomography. Nature Methods. 18(12). 1532–1541. 162 indexed citations breakdown →
8.
Katopodis, Periklis, Julie Davies, Harpal Randeva, et al.. (2021). COVID‑19 and SARS‑CoV‑2 host cell entry mediators: Expression profiling of TMRSS4 in health and disease. International Journal of Molecular Medicine. 47(4). 23 indexed citations
9.
Zhang, Yu Zhi, Cecilia Brambilla, Philip L. Molyneaux, et al.. (2020). Presence of pleomorphic features but not growth patterns improves prognostic stratification of epithelioid malignant pleural mesothelioma by 2‐tier nuclear grade. Histopathology. 77(3). 423–436. 9 indexed citations
10.
Robertus, Jan Lukas, et al.. (2020). ATGL Deficiency-Induced Triglyceride Deposit Cardiomyovasculopathy Requiring Heart Transplant. SHILAP Revista de lepidopterología. 2(5). 760–763. 4 indexed citations
11.
Aržanauskaitė, Monika, Vassilios S. Vassiliou, Jan Lukas Robertus, & Raad Mohiaddin. (2019). Primary Tumors of the Aorta and Pulmonary Arteries. JACC. Cardiovascular imaging. 12(10). 2065–2070. 1 indexed citations
12.
Sarikouch, Samir, Karolina Theodoridis, Andres Hilfiker, et al.. (2019). Early Insight Into In Vivo Recellularization of Cell-Free Allogenic Heart Valves. The Annals of Thoracic Surgery. 108(2). 581–589. 29 indexed citations
13.
Margaritis, Marios, Mary N. Sheppard, Sarah Parsons, et al.. (2018). Abstract 15829: Periadvential Inflammation in Spontaneous Coronary Artery Dissection: Causal Role or Response to Injury?. Circulation. 1 indexed citations
14.
Wechalekar, Kshama, Rajdeep Khattar, Stuart D. Rosen, et al.. (2017). Histologically Proven Myocardial Carcinoid Metastases: The Value of Multimodality Imaging. Canadian Journal of Cardiology. 33(10). 1336.e9–1336.e12. 2 indexed citations
15.
Baltabaeva, Aigul, Mohammed Kamal, Joyce Wong, et al.. (2017). Acute Fulminant Necrotizing Eosinophilic Myocarditis: Early Diagnosis and Treatment. ESC Heart Failure. 4(4). 660–664. 11 indexed citations
16.
Kuehnel, Mark, Lavinia Maegel, Jens Vogel‐Claussen, Jan Lukas Robertus, & Danny Jonigk. (2016). Airway remodelling in the transplanted lung. Cell and Tissue Research. 367(3). 663–675. 9 indexed citations
17.
Riet, Luuk te, Elza D. van Deel, Bibi S. van Thiel, et al.. (2016). AT1-receptor blockade, but not renin inhibition, reduces aneurysm growth and cardiac failure in fibulin-4 mice. Journal of Hypertension. 34(4). 654–665. 13 indexed citations
18.
Pluijm, Ingrid van der, Nicole van Vliet, Jan H. von der Thüsen, et al.. (2016). Defective Connective Tissue Remodeling in Smad3 Mice Leads to Accelerated Aneurysmal Growth Through Disturbed Downstream TGF-β Signaling. EBioMedicine. 12. 280–294. 32 indexed citations
20.
Battes, Linda C., Kadir Çalişkan, Dimitris Rizopoulos, et al.. (2014). Repeated Measurements of NT-pro-B-Type Natriuretic Peptide, Troponin T or C-Reactive Protein Do Not Predict Future Allograft Rejection in Heart Transplant Recipients. Transplantation. 99(3). 580–585. 23 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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