Thomas Kaindl

22 papers receiving 434 citations

Peers

Thomas Kaindl
Comparison fields: 5 of 78
  • Molecular Medicine 42
  • Cell Biology 100
  • Cognitive Neuroscience 90
  • Surfaces, Coatings and Films 28
  • Biomaterials 39
Replace L.M. Bjursten with:
L.M. Bjursten Sweden
Hasan Onur Keleş United States
Yifan Xia United States
Samuel C. Yiu United States
HyeongJun Kim United States
Martha E. Grady United States
André Schulz Germany
Thomas L. Li United States
Carmel O’Brien Australia
Yajie Lu China
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Citations per field
00.5×8.5×
L.M. Bjursten · 1×
Citations per year

Countries citing papers authored by Thomas Kaindl

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Kaindl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011157
2 200095
3 201859
4 201232
5 201923
6 202114
7 201012
8 199910
9 20108
10 20196
11 20195
12 20223
13
Fuzzy clustering as a model-free analysis method in single-event fMRI
19992
14 20212
15 20202
16 20132
17 20231
18
Single-event functional MRI of supplementary and primary motor cortical areas
19991
19 20241
20 20231

About Thomas Kaindl

Thomas Kaindl is a scholar working on Genetics, Biomedical Engineering, Cognitive Neuroscience, Oncology and Cell Biology, having authored 24 papers that have together received 438 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Cancer Treatment and Pharmacology (5 papers), Cancer Genomics and Diagnostics (3 papers), Microtubule and mitosis dynamics (3 papers), Acoustic Wave Phenomena Research (3 papers), EEG and Brain-Computer Interfaces (3 papers), Ultrasonics and Acoustic Wave Propagation (3 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Molecular Medicine (42 citations), Cell Biology (100 citations), Cognitive Neuroscience (90 citations), Surfaces, Coatings and Films (28 citations) and Biomaterials (39 citations). Thomas Kaindl has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Motomu Tanaka, Ulrike Engel, Stefan Kaufmann, Fernanda F. Rossetti, Jeppe Madsen, Andrew L. Lewis, Hiroshi Yoshikawa, Steven P. Armes, G. Lindinger and Marcus Erdler. Their work appears in journals such as Journal of Clinical Oncology, NeuroImage, Investigational New Drugs, Cell Reports and The Journal of the Acoustical Society of America.

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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