Dennis Eggert

914 total citations
30 papers, 714 citations indexed

About

Dennis Eggert is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Dennis Eggert has authored 30 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Molecular Biology and 5 papers in Materials Chemistry. Recurrent topics in Dennis Eggert's work include Nanocluster Synthesis and Applications (3 papers), Laser Applications in Dentistry and Medicine (3 papers) and Quantum Dots Synthesis And Properties (3 papers). Dennis Eggert is often cited by papers focused on Nanocluster Synthesis and Applications (3 papers), Laser Applications in Dentistry and Medicine (3 papers) and Quantum Dots Synthesis And Properties (3 papers). Dennis Eggert collaborates with scholars based in Germany, United States and Canada. Dennis Eggert's co-authors include Ou Chen, Yasutaka Nagaoka, Hua Zhu, Rudolph Reimer, Rui Tan, Yuzi Liu, Zhongwu Wang, Christian A. Voigt, Marcel Naumann and Ruipeng Li and has published in prestigious journals such as Nature, Science and Journal of the American Chemical Society.

In The Last Decade

Dennis Eggert

28 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dennis Eggert Germany 14 341 124 113 106 78 30 714
Qilong Cao China 14 245 0.7× 55 0.4× 83 0.7× 147 1.4× 92 1.2× 75 639
Marcin Krajewski Poland 19 272 0.8× 255 2.1× 263 2.3× 366 3.5× 122 1.6× 64 1.3k
Richard Inman United States 8 198 0.6× 167 1.3× 72 0.6× 183 1.7× 63 0.8× 11 548
Karl Levik United Kingdom 6 414 1.2× 61 0.5× 33 0.3× 291 2.7× 72 0.9× 10 780
Mi-Young Hong South Korea 10 301 0.9× 108 0.9× 129 1.1× 786 7.4× 192 2.5× 11 1.1k
Bingjie Liu China 18 516 1.5× 122 1.0× 353 3.1× 152 1.4× 62 0.8× 55 1.0k
Varun K. A. Sreenivasan Australia 16 306 0.9× 73 0.6× 55 0.5× 236 2.2× 289 3.7× 39 830
Maria Smedh Sweden 16 188 0.6× 46 0.4× 24 0.2× 249 2.3× 197 2.5× 30 780
Michal Wojcik United States 15 360 1.1× 113 0.9× 50 0.4× 252 2.4× 309 4.0× 17 959
Yuehui Li China 16 343 1.0× 136 1.1× 171 1.5× 143 1.3× 99 1.3× 45 752

Countries citing papers authored by Dennis Eggert

Since Specialization
Citations

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

Fields of papers citing papers by Dennis Eggert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis Eggert

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis Eggert. A scholar is included among the top collaborators of Dennis Eggert 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 Dennis Eggert. Dennis Eggert 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.
Häußler, Sophia Marie, et al.. (2025). Automatic Segmentation of Vestibular Schwannoma From MRI Using Two Cascaded Deep Learning Networks. The Laryngoscope. 135(4). 1301–1308.
2.
Eggert, Dennis, Adrian Rühm, Ronald Sroka, et al.. (2024). Differentiation of Tumors of the Upper Respiratory Tract Using Optical Metabolic Imaging. Lasers in Surgery and Medicine. 57(2). 147–153. 1 indexed citations
3.
Beyersdorff, Dirk, Elina Petersen, Marvin Petersen, et al.. (2024). Computer‐Aided Diagnosis of Maxillary Sinus Anomalies: Validation and Clinical Correlation. The Laryngoscope. 134(9). 3927–3934.
4.
Heeren, Jöerg, Till S. Clauditz, Hartmut Schlüter, et al.. (2023). Lipidome Analysis of Oropharyngeal Tumor Tissues Using Nanosecond Infrared Laser (NIRL) Tissue Sampling and Subsequent Mass Spectrometry. International Journal of Molecular Sciences. 24(9). 7820–7820. 2 indexed citations
5.
Beyersdorff, Dirk, Elina Petersen, Marvin Petersen, et al.. (2023). Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus. 1 indexed citations
6.
Beyersdorff, Dirk, Elina Petersen, Marvin Petersen, et al.. (2023). Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus. International Journal of Computer Assisted Radiology and Surgery. 19(2). 223–231. 3 indexed citations
7.
Zhu, Hua, Zhaochuan Fan, Siyuan Song, et al.. (2022). Dual Atomic Coherence in the Self-Assembly of Patchy Heterostructural Nanocrystals. ACS Nano. 16(9). 15053–15062. 10 indexed citations
8.
Gessert, Nils, Dennis Eggert, Andreas O. H. Gerstner, et al.. (2020). Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection. 53–53. 12 indexed citations
9.
Meka, Durga Praveen, Bing Zhao, Oliver Kobler, et al.. (2019). Radial somatic F‐actin organization affects growth cone dynamics during early neuronal development. EMBO Reports. 20(12). e47743–e47743. 20 indexed citations
10.
Zhu, Hua, Zhaochuan Fan, Long Yu, et al.. (2019). Controlling Nanoparticle Orientations in the Self-Assembly of Patchy Quantum Dot-Gold Heterostructural Nanocrystals. Journal of the American Chemical Society. 141(14). 6013–6021. 51 indexed citations
11.
Iglesias, Pablo, Julia Strauß, Ann‐Christin Puller, et al.. (2019). Lineage-specific control of TFIIH by MITF determines transcriptional homeostasis and DNA repair. Oncogene. 38(19). 3616–3635. 14 indexed citations
12.
Nagaoka, Yasutaka, Hua Zhu, Dennis Eggert, & Ou Chen. (2018). Single-component quasicrystalline nanocrystal superlattices through flexible polygon tiling rule. Science. 362(6421). 1396–1400. 85 indexed citations
13.
Hansen, Nils‐Owe, et al.. (2018). Pikosekundenlaser-Faser-assistierte Sklerostomie (PIRL-FAST). Der Ophthalmologe. 116(4). 346–350. 3 indexed citations
14.
Nagaoka, Yasutaka, Rui Tan, Ruipeng Li, et al.. (2018). Superstructures generated from truncated tetrahedral quantum dots. Nature. 561(7723). 378–382. 160 indexed citations
15.
Tan, Rui, Yucheng Yuan, Yasutaka Nagaoka, et al.. (2017). Monodisperse Hexagonal Pyramidal and Bipyramidal Wurtzite CdSe-CdS Core–Shell Nanocrystals. Chemistry of Materials. 29(9). 4097–4108. 64 indexed citations
16.
Eggert, Dennis, et al.. (2017). Picosecond infrared laser - fibre-assisted-sclerostomy (PIRL-FAST): A first proof of principle analysis. Investigative Ophthalmology & Visual Science. 58(8). 4990–4990. 2 indexed citations
17.
Falter, Christian, Dennis Eggert, Marcel Naumann, et al.. (2015). Glucanocellulosic ethanol: the undiscovered biofuel potential in energy crops and marine biomass. Scientific Reports. 5(1). 13722–13722. 27 indexed citations
18.
Ren, Lu, Wesley D. Robertson, Raylene A. Reimer, et al.. (2015). Towards instantaneous cellular level bio diagnosis: laser extraction and imaging of biological entities with conserved integrity and activity. Nanotechnology. 26(28). 284001–284001. 24 indexed citations
19.
Eggert, Dennis, Marcel Naumann, Rudolph Reimer, & Christian A. Voigt. (2014). Nanoscale glucan polymer network causes pathogen resistance. Scientific Reports. 4(1). 4159–4159. 65 indexed citations
20.
Eggert, Dennis, et al.. (2014). Visualization and Analysis of Hepatitis C Virus Structural Proteins at Lipid Droplets by Super-Resolution Microscopy. PLoS ONE. 9(7). e102511–e102511. 21 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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