Thomas Dickmeis
Impact in
-
- Circadian rhythm and melatonin
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Developmental Biology and Gene Regulation 14
- Congenital heart defects research 7
- Genomics and Chromatin Dynamics 4
- Cell Biology 18
- Zebrafish Biomedical Research Applications 17
- Co-authors
- Uwe Strähle (22 shared papers)Nicholas S. Foulkes (6 shared papers)Benjamin D. Weger (12 shared papers)Meltem Weger (9 shared papers)Kajori Lahiri (5 shared papers)Daniela Vallone (5 shared papers)Frédéric Rosa (7 shared papers)Cristina Santoriello (2 shared papers)
- Journals
- Developmental Biology (3 papers)PLoS ONE (3 papers)Journal of Visualized Experiments (3 papers)Zebrafish (3 papers)Mechanisms of Development (2 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Thomas Dickmeis
46 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 122
- Endocrine and Autonomic Systems 660
- Aging 114
- Behavioral Neuroscience 190
- Cell Biology 406
- Physiology 74
Countries citing papers authored by Thomas Dickmeis
This map shows the geographic impact of Thomas Dickmeis'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 Dickmeis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Dickmeis more than expected).
Fields of papers citing papers by Thomas Dickmeis
This network shows the impact of papers produced by Thomas Dickmeis. 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 Dickmeis. The network helps show where Thomas Dickmeis may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Dickmeis, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 377 | |
| 2 | 2001 | 160 | |
| 3 | 2005 | 146 | |
| 4 | 2013 | 106 | |
| 5 | 2007 | 99 | |
| 6 | 2011 | 89 | |
| 7 | 2002 | 86 | |
| 8 | 2013 | 71 | |
| 9 | 2004 | 70 | |
| 10 | 2017 | 69 | |
| 11 | 2013 | 64 | |
| 12 | 2006 | 62 | |
| 13 | 2012 | 55 | |
| 14 | 2005 | 51 | |
| 15 | 2008 | 45 | |
| 16 | 2016 | 45 | |
| 17 | 2010 | 42 | |
| 18 | 2013 | 40 | |
| 19 | 2015 | 32 | |
| 20 | 2004 | 30 |
About Thomas Dickmeis
Thomas Dickmeis is a scholar working on Molecular Biology, Cell Biology, Endocrine and Autonomic Systems, Physiology and Ecology, having authored 46 papers that have together received 2.1k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (17 papers), Developmental Biology and Gene Regulation (14 papers), Circadian rhythm and melatonin (11 papers), Physiological and biochemical adaptations (8 papers), Congenital heart defects research (7 papers), Spaceflight effects on biology (6 papers), Genomics and Chromatin Dynamics (4 papers) and Stress Responses and Cortisol (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (660 citations), Aging (114 citations), Behavioral Neuroscience (190 citations), Cell Biology (406 citations) and Physiology (74 citations). Thomas Dickmeis has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Uwe Strähle, Nicholas S. Foulkes, Benjamin D. Weger, Meltem Weger, Kajori Lahiri, Daniela Vallone, Frédéric Rosa, Cristina Santoriello, Philippe Mourrain and Nadine Fischer. Their work appears in journals such as Developmental Biology, PLoS ONE, Journal of Visualized Experiments, Zebrafish and Mechanisms of Development.
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.