Dennis Eggert

957 citations
33 papers · 778 · h-index 14

Impact in

Papers in

Dennis Eggert

30 papers receiving 769 citations

Peers

Dennis Eggert
Comparison fields: 5 of 103
  • Materials Chemistry 360
  • Structural Biology 9
  • Electronic, Optical and Magnetic Materials 113
  • Biophysics 29
  • Archeology 4
Replace Masahiko Hara with:
Masahiko Hara Japan
Shubhasis Haldar India
Jaideep S. Dudani United States
Maozi Liu United States
Yunxi Cui China
Eleonora Muro France
Yaxin Jiang China
Rosanne Boudreau United States
Koichi Tamura Japan
Eva‐Kathrin Sinner Germany
Dennis Eggert relative to Masahiko Hara Japan Masahiko Hara's profile →
Citations per field
00.5×2×3×3.9×
Masahiko Hara · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dennis Eggert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dennis Eggert Line = papers co-authored together Dennis Eggert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018173
2 201895
3 201471
4 201766
5 201957
6 201549
7 201532
8 202131
9 201631
10 201524
11 201924
12 201421
13 201921
14 202015
15 201914
16 202210
17 20188
18 20227
19 20215
20 20194

About Dennis Eggert

Dennis Eggert is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging, Structural Biology, Biophysics and Cell Biology, having authored 33 papers that have together received 778 indexed citations. Recurring topics across this work include Sinusitis and nasal conditions (4 papers), Quantum Dots Synthesis And Properties (3 papers), Nanocluster Synthesis and Applications (3 papers), AI in cancer detection (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers), Brain Tumor Detection and Classification (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Materials Chemistry (360 citations), Structural Biology (9 citations), Electronic, Optical and Magnetic Materials (113 citations), Biophysics (29 citations) and Archeology (4 citations). Dennis Eggert has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Ou Chen, Yasutaka Nagaoka, Hua Bing Zhu, Rudolph Reimer, Rui Tan, Yuzi Liu, Zhongwu Wang, Marcel Naumann, Christian A. Voigt and Ruipeng Li. Their work appears in journals such as Scientific Reports, Lasers in Surgery and Medicine, The Laryngoscope, Nature and Journal of Biophotonics.

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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