Timo M. Breit

4.3k citations
99 papers · 2.9k indexed · h-index 30

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • MicroRNA in disease regulation

Papers in

Timo M. Breit

98 papers receiving 2.9k citations

Peers

Timo M. Breit
Comparison fields: 5 of 147
  • Aging 145
  • Cancer Research 347
  • Immunology 445
  • Molecular Biology 1.4k
  • Immunology and Allergy 125
Replace Mathias Walzer with:
Mathias Walzer Germany
Jingwen Bai China
Chakradhar Bandla United Kingdom
Mario Albrecht Germany
Antoine H. C. van Kampen Netherlands
Noemí del‐Toro United Kingdom
Yan Su United States
Timo Lassmann Australia
Shuai Weng United States
Steffen Möller Germany
Timo M. Breit relative to Mathias Walzer Germany Mathias Walzer's profile →
Citations per field
00.5×8.8×
Mathias Walzer · 1×
Citations per year

Countries citing papers authored by Timo M. Breit

Since Specialization
Citations

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

Fields of papers citing papers by Timo M. Breit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timo M. Breit. 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 Timo M. Breit. The network helps show where Timo M. Breit may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20231
3 201779
4 201627
5 20161
6 20154
7 201427
8 201244
9 201146
10 201125
11 201113
12 20104
13
Smart Environments for Collaborative Design, Implementation, and Interpretation of Scientific Experiments
20074
14 20076
15 200762
16 200717
17 199858
18 19947
19 19946
20 1993111

About Timo M. Breit

Timo M. Breit is a scholar working on Aging, Information Systems and Management, Immunology and Allergy, Cancer Research and Endocrinology, having authored 99 papers that have together received 2.9k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (15 papers), Gene expression and cancer classification (12 papers), Scientific Computing and Data Management (8 papers), Distributed and Parallel Computing Systems (7 papers), MicroRNA in disease regulation (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Carcinogens and Genotoxicity Assessment (6 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Aging (145 citations), Cancer Research (347 citations), Immunology (445 citations), Molecular Biology (1.4k citations) and Immunology and Allergy (125 citations). Timo M. Breit has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Martijs J. Jonker, Han Rauwerda, Jacques J. M. van Dongen, I L Wolvers-Tettero, Eleonora Aronica, Wytse J. Wadman, Jan A. Gorter, Floyd Wittink, Oskar Bruning and Harry van Steeg. Their work appears in journals such as Molecular and Cellular Biology, PLoS ONE, Archives of Toxicology, The Journal of Immunology and Nucleic Acids Research.

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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