Daniel Eberli

8.5k total citations · 1 hit paper
245 papers, 5.3k citations indexed

About

Daniel Eberli is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Urology. According to data from OpenAlex, Daniel Eberli has authored 245 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Pulmonary and Respiratory Medicine, 87 papers in Surgery and 51 papers in Urology. Recurrent topics in Daniel Eberli's work include Prostate Cancer Diagnosis and Treatment (78 papers), Prostate Cancer Treatment and Research (70 papers) and Tissue Engineering and Regenerative Medicine (45 papers). Daniel Eberli is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (78 papers), Prostate Cancer Treatment and Research (70 papers) and Tissue Engineering and Regenerative Medicine (45 papers). Daniel Eberli collaborates with scholars based in Switzerland, United States and Germany. Daniel Eberli's co-authors include Anthony Atala, Tullio Sulser, James J. Yoo, Olivio F. Donati, Niels J. Rupp, Thomas Hermanns, Irene A. Burger, Ashkan Mortezavi, Vincent Milleret and Souzan Salemi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel Eberli

226 papers receiving 5.2k 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.

Stretchable and suturable fibre sensors for wireless monitoring of connective tissue strain

2021 203 citations Daniel Eberli, Florian Schmid et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Eberli Switzerland	39	1.7k	1.7k	1.2k	1.2k	967	245	5.3k
K. Jane Grande‐Allen United States	43	1.2k 0.7×	1.8k 1.1×	1.4k 1.1×	1.3k 1.1×	286 0.3×	179	6.3k
Craig A. Simmons Canada	55	1.3k 0.7×	2.3k 1.3×	4.0k 3.2×	1.6k 1.4×	469 0.5×	196	9.8k
Tatsuo Nakamura Japan	46	2.4k 1.4×	3.7k 2.2×	1.4k 1.1×	2.1k 1.8×	315 0.3×	342	7.9k
Praveen Arany United States	34	734 0.4×	653 0.4×	1.8k 1.5×	809 0.7×	2.3k 2.4×	136	6.3k
Richard Tuli United States	37	719 0.4×	1.8k 1.1×	1.3k 1.0×	1.3k 1.1×	438 0.5×	136	6.3k
W. Mutschler Germany	50	1.0k 0.6×	4.6k 2.7×	1.5k 1.2×	484 0.4×	505 0.5×	349	8.9k
Robert A. Brown United Kingdom	50	853 0.5×	2.6k 1.5×	2.8k 2.2×	2.6k 2.2×	799 0.8×	196	11.3k
Lukas Prantl Germany	37	408 0.2×	2.9k 1.7×	692 0.6×	520 0.4×	497 0.5×	359	6.4k
Francisco M. Sánchez‐Margallo Spain	33	667 0.4×	2.0k 1.2×	1.2k 1.0×	428 0.4×	185 0.2×	351	4.4k
Nils‐Claudius Gellrich Germany	48	435 0.3×	3.8k 2.2×	1.4k 1.1×	483 0.4×	325 0.3×	306	7.7k

Countries citing papers authored by Daniel Eberli

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Eberli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Eberli

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Eberli. A scholar is included among the top collaborators of Daniel Eberli 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 Daniel Eberli. Daniel Eberli 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

Menges, Dominik, et al.. (2025). Impact of Prebiopsy Multiparametric Magnetic Resonance Imaging on Prostate Cancer Detection in Switzerland. European Urology Open Science. 73. 1–7.

Wettstein, Marian S., et al.. (2025). Development of a nomogram for prediction of postoperative bleeding after transurethral resection of bladder tumors. International Urology and Nephrology. 58(3). 921–929.

Rupp, Niels J., et al.. (2024). MRI-based monitoring of prostate cancer after HIFU: Inter-reader agreement and diagnostic performance of the PI-FAB score. European Journal of Radiology. 175. 111463–111463. 11 indexed citations

Laudicella, Riccardo, Albert Comelli, Moritz Schwyzer, et al.. (2024). PSMA-positive prostatic volume prediction with deep learning based on T2-weighted MRI. La radiologia medica. 129(6). 901–911. 4 indexed citations

Salemi, Souzan, et al.. (2024). Regulation of prostate-specific membrane antigen (PSMA) expression in prostate cancer cells after treatment with dutasteride and lovastatin. Neoplasia. 57. 101045–101045.

Ventimiglia, Eugenio, Vincent De Coninck, Alba Sierra, et al.. (2024). Illumination matters Part III: Impact of light obstruction on illuminance from flexible ureteroscopes — a comparative PEARLS analysis. World Journal of Urology. 42(1). 188–188. 4 indexed citations

Montani, Matteo, Carsten Stephan, Klaus Jung, et al.. (2024). Clinical implications of AGR2 in primary prostate cancer: Results from a large‐scale study. Apmis. 132(4). 256–266. 1 indexed citations

Morsy, Yasser, Michael Scharl, Jan H. Rüschoff, et al.. (2024). Towards Reliable Methodology: Microbiome Analysis of Fresh Frozen vs. Formalin-Fixed Paraffin-Embedded Bladder Tissue Samples: A Feasibility Study. Microorganisms. 12(12). 2594–2594. 1 indexed citations

Ventimiglia, Eugenio, Vincent De Coninck, Mariela Corrales, et al.. (2023). Pulsed thulium:YAG laser—ready to dust all urinary stone composition types? Results from a PEARLS analysis. World Journal of Urology. 41(10). 2823–2831. 17 indexed citations

10.

Schaer, Dominik J., et al.. (2023). Targeting Metabolic Vulnerabilities to Overcome Prostate Cancer Resistance: Dual Therapy with Apalutamide and Complex I Inhibition. Cancers. 15(23). 5612–5612. 2 indexed citations

11.

Schmid, Florian, et al.. (2023). Evaluation of Proclarix in the diagnostic work‐up of prostate cancer. SHILAP Revista de lepidopterología. 5(2). 297–303. 3 indexed citations

12.

Laudicella, Riccardo, Matteo Bauckneht, Alexander Maurer, et al.. (2023). Can We Predict Skeletal Lesion on Bone Scan Based on Quantitative PSMA PET/CT Features?. Cancers. 15(22). 5471–5471. 2 indexed citations

13.

Schmid, Florian, Olivio F. Donati, Niels J. Rupp, et al.. (2023). Focal therapy with high‐intensity focused ultrasound for prostate cancer: 3‐year outcomes from a prospective trial. British Journal of Urology. 133(4). 413–424. 13 indexed citations

14.

Laudicella, Riccardo, Stephan Skawran, Daniela A. Ferraro, et al.. (2022). Quantitative imaging parameters to predict the local staging of prostate cancer in intermediate- to high-risk patients. Insights into Imaging. 13(1). 75–75. 12 indexed citations

15.

Laudicella, Riccardo, Jan H. Rüschoff, Daniela A. Ferraro, et al.. (2022). Infiltrative growth pattern of prostate cancer is associated with lower uptake on PSMA PET and reduced diffusion restriction on mpMRI. European Journal of Nuclear Medicine and Molecular Imaging. 49(11). 3917–3928. 23 indexed citations

16.

Rakauskas, Arnas, Valérie Cesson, Karim Saba, et al.. (2022). Identification of Urine Biomarkers to Improve Eligibility for Prostate Biopsy and Detect High-Grade Prostate Cancer. Cancers. 14(5). 1135–1135. 8 indexed citations

17.

Saba, Karim, Tullio Sulser, Daniel Eberli, et al.. (2021). Prostate cancer detection rate in men undergoing transperineal template‐guided saturation and targeted prostate biopsy. The Prostate. 82(3). 388–396. 18 indexed citations

18.

Lorch, Anja, J. Beyer, Daniel Eberli, et al.. (2020). Clinicopathological characteristics and outcomes in men with mesothelioma of the tunica vaginalis testis: Analysis of published case series data. European Urology Open Science. 21. S243–S243. 2 indexed citations

19.

Stocker, Daniel, Andreas M. Hötker, Daniel Eberli, et al.. (2019). Comparison of PSA-density of the transition zone and whole gland for risk stratification of men with suspected prostate cancer: A retrospective MRI-cohort study. European Journal of Radiology. 120. 108660–108660. 18 indexed citations

20.

Atala, Anthony & Daniel Eberli. (2009). Basic science research in urology training. Indian Journal of Urology. 25(2). 217–217. 4 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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