Stephan Dürr

823 total citations
11 papers, 644 citations indexed

About

Stephan Dürr is a scholar working on Biomaterials, Physiology and Artificial Intelligence. According to data from OpenAlex, Stephan Dürr has authored 11 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomaterials, 4 papers in Physiology and 3 papers in Artificial Intelligence. Recurrent topics in Stephan Dürr's work include Nanoparticle-Based Drug Delivery (5 papers), Voice and Speech Disorders (4 papers) and Speech Recognition and Synthesis (3 papers). Stephan Dürr is often cited by papers focused on Nanoparticle-Based Drug Delivery (5 papers), Voice and Speech Disorders (4 papers) and Speech Recognition and Synthesis (3 papers). Stephan Dürr collaborates with scholars based in Germany, United States and Austria. Stephan Dürr's co-authors include Christoph Alexiou, Rainer Tietze, Christina Janko, Stefan Lyer, Jan Zaloga, Marina Pöttler, Harald Unterweger, Ralf P. Friedrich, Philipp Tripal and Marc Schwarz and has published in prestigious journals such as Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences and Physics Letters B.

In The Last Decade

Stephan Dürr

10 papers receiving 632 citations

Peers

Stephan Dürr

BE

BIOMA

MC

MB

PHYSI

А. А. Никитин Russia

Ioana Slabu Germany

Alison Deatsch United States

Sa Huang China

François Gendron France

Samar Shah United States

Allen L. Chen United States

Saeed Sarkar Iran

Kirsten M. Pondman Netherlands

Sandhya Clement Australia

А. А. Никитин Russia

Stephan Dürr

256 ×0.8

BE

244 ×0.8

BIOMA

141 ×0.9

MC

104 ×1.1

MB

15 ×0.2

PHYSI

Citations per year, relative to Stephan Dürr Stephan Dürr (= 1×) peers А. А. Никитин

Countries citing papers authored by Stephan Dürr

Since Specialization

Citations

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

Fields of papers citing papers by Stephan Dürr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Dürr

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

All Works

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11 of 11 papers shown

1.

Doellinger, Michael, et al.. (2025). Machine Learning-Based Estimation of Hoarseness Severity Using Acoustic Signals Recorded During High-Speed Videoendoscopy. Journal of Voice. 3 indexed citations

2.

Schützenberger, Anne, Tomás Arias‐Vergara, Melda Kunduk, et al.. (2025). Machine learning based assessment of hoarseness severity: a multi-sensor approach centered on high-speed videoendoscopy. Frontiers in Artificial Intelligence. 8. 1601716–1601716.

3.

Kist, Andreas M., Pablo Gómez, Patrick Schlegel, et al.. (2021). A Deep Learning Enhanced Novel Software Tool for Laryngeal Dynamics Analysis. Journal of Speech Language and Hearing Research. 64(6). 1889–1903. 62 indexed citations

4.

Pöttler, Marina, Eveline Schreiber, Christina Janko, et al.. (2017). Impact of Superparamagnetic Iron Oxide Nanoparticles on Vocal Fold Fibroblasts: Cell Behavior and Cellular Iron Kinetics. Nanoscale Research Letters. 12(1). 284–284. 11 indexed citations

5.

Janko, Christina, Jan Zaloga, Marina Pöttler, et al.. (2016). Strategies to optimize the biocompatibility of iron oxide nanoparticles – “SPIONs safe by design”. Journal of Magnetism and Magnetic Materials. 431. 281–284. 48 indexed citations

6.

Tietze, Rainer, Harald Unterweger, Stephan Dürr, et al.. (2015). Boron containing magnetic nanoparticles for neutron capture therapy – an innovative approach for specifically targeting tumors. Applied Radiation and Isotopes. 106. 151–155. 14 indexed citations

7.

Tietze, Rainer, Jan Zaloga, Harald Unterweger, et al.. (2015). Magnetic nanoparticle-based drug delivery for cancer therapy. Biochemical and Biophysical Research Communications. 468(3). 463–470. 335 indexed citations

8.

Janko, Christina, Stephan Dürr, Luis E. Muñoz, et al.. (2013). Magnetic Drug Targeting Reduces the Chemotherapeutic Burden on Circulating Leukocytes. International Journal of Molecular Sciences. 14(4). 7341–7355. 53 indexed citations

9.

Dürr, Stephan, Christina Janko, Stefan Lyer, et al.. (2013). Magnetic nanoparticles for cancer therapy. Nanotechnology Reviews. 2(4). 395–409. 86 indexed citations

10.

Schwarz, Marc, Arnd Dörfler, Tobias Engelhorn, et al.. (2013). Imaging modalities using magnetic nanoparticles – overview of the developments in recent years. Nanotechnology Reviews. 2(4). 381–394. 6 indexed citations

11.

Borsányi, Szabolcs, Ydalia Delgado, Stephan Dürr, et al.. (2012). QCD thermodynamics with dynamical overlap fermions. Physics Letters B. 713(3). 342–346. 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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