Thomas Raabe
Impact in
- Aging top 2%
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- Circadian rhythm and melatonin
Papers in
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- Protein Kinase Regulation and GTPase Signaling 12
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- Neurobiology and Insect Physiology Research 20
- Co-authors
- Martin Heisenberg (6 shared papers)Stuart G. Siddell (8 shared papers)Jean‐René Martin (1 shared paper)Ulf R. Rapp (5 shared papers)Edward C. Jauch (5 shared papers)Nao Ohta (1 shared paper)Kanako Hisata (1 shared paper)Fumio Matsuzaki (1 shared paper)
- Journals
- Gene (4 papers)Current Biology (4 papers)Development (4 papers)Mechanisms of Development (3 papers)Disease Models & Mechanisms (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Thomas Raabe
62 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 101
- Aging 155
- Endocrine and Autonomic Systems 332
- Cellular and Molecular Neuroscience 710
- Cell Biology 566
- Molecular Biology 1.4k
Countries citing papers authored by Thomas Raabe
This map shows the geographic impact of Thomas Raabe'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 Raabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Raabe more than expected).
Fields of papers citing papers by Thomas Raabe
This network shows the impact of papers produced by Thomas Raabe. 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 Raabe. The network helps show where Thomas Raabe may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Raabe, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 227 | |
| 2 | 2006 | 204 | |
| 3 | 1996 | 190 | |
| 4 | 1996 | 171 | |
| 5 | 1999 | 156 | |
| 6 | 1993 | 108 | |
| 7 | 2000 | 83 | |
| 8 | 2001 | 73 | |
| 9 | 2002 | 72 | |
| 10 | 2010 | 72 | |
| 11 | 1998 | 68 | |
| 12 | 1995 | 61 | |
| 13 | 2004 | 59 | |
| 14 | 2003 | 47 | |
| 15 | 2015 | 44 | |
| 16 | 2000 | 41 | |
| 17 | 2005 | 39 | |
| 18 | 1990 | 35 | |
| 19 | 2000 | 33 | |
| 20 | 2008 | 33 |
About Thomas Raabe
Thomas Raabe is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Immunology and Endocrine and Autonomic Systems, having authored 62 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (20 papers), Protein Kinase Regulation and GTPase Signaling (12 papers), Circadian rhythm and melatonin (10 papers), Invertebrate Immune Response Mechanisms (9 papers), Plant Molecular Biology Research (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Hippo pathway signaling and YAP/TAZ (7 papers) and Animal Virus Infections Studies (6 papers). The work is most often cited by research in Aging (155 citations), Endocrine and Autonomic Systems (332 citations), Cellular and Molecular Neuroscience (710 citations), Cell Biology (566 citations) and Molecular Biology (1.4k citations). Thomas Raabe has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Martin Heisenberg, Stuart G. Siddell, Jean‐René Martin, Ulf R. Rapp, Edward C. Jauch, Nao Ohta, Kanako Hisata, Fumio Matsuzaki, Yasushi Izumi and Ernst Hafen. Their work appears in journals such as Gene, Current Biology, Development, Mechanisms of Development and Disease Models & Mechanisms.
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.