Thomas Kaindl

557 total citations
24 papers, 429 citations indexed

About

Thomas Kaindl is a scholar working on Genetics, Cell Biology and Biomedical Engineering. According to data from OpenAlex, Thomas Kaindl has authored 24 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 6 papers in Cell Biology and 6 papers in Biomedical Engineering. Recurrent topics in Thomas Kaindl's work include Glioma Diagnosis and Treatment (8 papers), Cancer Treatment and Pharmacology (5 papers) and Microtubule and mitosis dynamics (4 papers). Thomas Kaindl is often cited by papers focused on Glioma Diagnosis and Treatment (8 papers), Cancer Treatment and Pharmacology (5 papers) and Microtubule and mitosis dynamics (4 papers). Thomas Kaindl collaborates with scholars based in Germany, Switzerland and United Kingdom. Thomas Kaindl's co-authors include Motomu Tanaka, Ulrike Engel, Stefan Kaufmann, Andrew L. Lewis, Fernanda F. Rossetti, Jeppe Madsen, Hiroshi Yoshikawa, Steven P. Armes, Roland Beisteiner and Marcus Erdler and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Thomas Kaindl

22 papers receiving 425 citations

Peers

Thomas Kaindl
Comparison fields: 5 of 79
  • Biomedical Engineering 127
  • Cell Biology 101
  • Cognitive Neuroscience 98
  • Molecular Biology 66
  • Infectious Diseases 52
Yifan Xia United States
Ji Sun Choi United States
Hasan Onur Keleş United States
Raquel J. Brown United States
Onur Aydin United States
André Schulz Germany
Hiroe Ohnishi Japan
HyeongJun Kim United States
Francesco Piraino Italy
Xuanhao Sun United States
Yifan Xia United States View profile →
Citations per field, relative to Thomas Kaindl
Thomas Kaindl · 1×
Citations per year, relative to Thomas Kaindl
Thomas Kaindl · 1×

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-authorship network of co-authors of Thomas Kaindl

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Kaindl. A scholar is included among the top collaborators of Thomas Kaindl 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 Thomas Kaindl. Thomas Kaindl 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
# Work Indexed citations
1 1
2 1
3 1
4 3
5 1
6 2
7 14
8 2
9 21
10 6
11 5
12 2
13 32
14 153
15 8
16 95
17
Fuzzy clustering as a model-free analysis method in single-event fMRI
2
18
Homuncular organization of finger representation in the human motor cortex as studied by whole head magnetoencephalography
0
19
Single-event functional MRI of supplementary and primary motor cortical areas
1
20 10

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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