Thomas Fellner

1.4k citations
22 papers · 999 · h-index 13

Impact in

    • Advanced Sensor and Energy Harvesting Materials
    • 3D Printing in Biomedical Research
    • Microfluidic and Capillary Electrophoresis Applications

Papers in

    • Pluripotent Stem Cells Research 7
    • CRISPR and Genetic Engineering 6
    • Protein Tyrosine Phosphatases 2
    • Fungal and yeast genetics research 2
    • 3D Printing in Biomedical Research 5

Thomas Fellner

22 papers receiving 948 citations

Peers

Thomas Fellner
Comparison fields: 5 of 103
  • Biomedical Engineering 452
  • Aging 16
  • Molecular Biology 464
  • Bioengineering 31
  • Cell Biology 89
Replace Nicholas Ferrell with:
Nicholas Ferrell United States
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Joydeep Basu United States
Hiroaki Yamazaki Japan
Mohamed Abdelgawad Egypt
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Citations per field
00.5×5.3×
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Citations per year

Countries citing papers authored by Thomas Fellner

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Fellner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Fellner, 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 Thomas Fellner Line = papers co-authored together Thomas Fellner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008363
2 2015135
3 200387
4 200773
5 200962
6 201652
7 201436
8 201434
9 201329
10 200328
11 201824
12 201321
13 201612
14 20069
15 20038
16
Thermochemical Energy Storage as a Way to Increase the Sustainability of Energy Generation
20157
17 20126
18 20065
19 20094
20 20122

About Thomas Fellner

Thomas Fellner is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering and Automotive Engineering, having authored 22 papers that have together received 999 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (6 papers), 3D Printing in Biomedical Research (5 papers), Advanced MEMS and NEMS Technologies (4 papers), Protein Tyrosine Phosphatases (2 papers), Fungal and yeast genetics research (2 papers), Laser Material Processing Techniques (2 papers) and Semiconductor Lasers and Optical Devices (2 papers). The work is most often cited by research in Biomedical Engineering (452 citations), Aging (16 citations), Molecular Biology (464 citations), Bioengineering (31 citations) and Cell Biology (89 citations). Thomas Fellner has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Jürgen Wilde, Ulrike Wallrabe, Florian Schneider, Behnam Ahmadian Baghbaderani, Egon Ogris, Mahendra S. Rao, Ingrid Mudrak, Daniel H. Lackner, Hans Hombauer and Xianmin Zeng. Their work appears in journals such as PLoS ONE, Stem Cell Reports, Stem Cells and Development, Journal of Electronic Packaging and Journal of Micromechanics and Microengineering.

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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