Thomas Timm
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
Papers in
- Cell Biology 12
- Microtubule and mitosis dynamics 11
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- 14-3-3 protein interactions 4
- Co-authors
- Eva‐Maria Mandelkow (11 shared papers)Eckhard Mandelkow� (7 shared papers)Jacek Biernat (5 shared papers)Eva‐Maria Mandelkow (2 shared papers)Laurent Meijer (1 shared paper)Qingyi Zheng‐Fischhöfer (1 shared paper)Dorthe Matenia (3 shared papers)Xiaoyu Li (3 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Toxins (3 papers)Cells (2 papers)Molecular Biology of the Cell (2 papers)Neurobiology of Aging (2 papers)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Thomas Timm
39 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 108
- Developmental Neuroscience 107
- Cell Biology 432
- Aging 45
- Cellular and Molecular Neuroscience 330
- Physiology 401
Countries citing papers authored by Thomas Timm
This map shows the geographic impact of Thomas Timm'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 Timm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Timm more than expected).
Fields of papers citing papers by Thomas Timm
This network shows the impact of papers produced by Thomas Timm. 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 Timm. The network helps show where Thomas Timm may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Timm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 217 | |
| 2 | 2003 | 170 | |
| 3 | 2014 | 126 | |
| 4 | 2008 | 94 | |
| 5 | 2010 | 92 | |
| 6 | 2015 | 82 | |
| 7 | 2020 | 82 | |
| 8 | 2008 | 81 | |
| 9 | 2008 | 60 | |
| 10 | 2012 | 56 | |
| 11 | 2008 | 53 | |
| 12 | 2006 | 53 | |
| 13 | 2006 | 49 | |
| 14 | 2008 | 45 | |
| 15 | 2011 | 37 | |
| 16 | 2019 | 35 | |
| 17 | 2018 | 34 | |
| 18 | 2020 | 21 | |
| 19 | 2011 | 21 | |
| 20 | 2017 | 18 |
About Thomas Timm
Thomas Timm is a scholar working on Cell Biology, Molecular Biology, Developmental Neuroscience, Virology and Genetics, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (11 papers), Venomous Animal Envenomation and Studies (6 papers), Alzheimer's disease research and treatments (5 papers), 14-3-3 protein interactions (4 papers), Rabies epidemiology and control (3 papers), Insect and Pesticide Research (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Marine Invertebrate Physiology and Ecology (3 papers). The work is most often cited by research in Developmental Neuroscience (107 citations), Cell Biology (432 citations), Aging (45 citations), Cellular and Molecular Neuroscience (330 citations) and Physiology (401 citations). Thomas Timm has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Eva‐Maria Mandelkow, Eckhard Mandelkow�, Jacek Biernat, Eva‐Maria Mandelkow, Laurent Meijer, Qingyi Zheng‐Fischhöfer, Dorthe Matenia, Xiaoyu Li, Günter Lochnit and Orly Reiner. Their work appears in journals such as Journal of Biological Chemistry, Toxins, Cells, Molecular Biology of the Cell and Neurobiology of Aging.
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.