Thomas Raabe

2.9k citations
63 papers · 2.4k · h-index 25

Impact in

Papers in

Thomas Raabe

62 papers receiving 2.3k citations

Peers

Thomas Raabe
Comparison fields: 5 of 100
  • Aging 153
  • Endocrine and Autonomic Systems 333
  • Cellular and Molecular Neuroscience 691
  • Cell Biology 556
  • Molecular Biology 1.3k
Replace Molly Craxton with:
Molly Craxton United Kingdom
Melissa M. Rolls United States
Chunghun Lim South Korea
Patrick J. Dolph United States
Ignasi Forné Germany
Richard Binari United States
Noelle D. Dwyer United States
Zhaolin Hua United States
Michael R. Lerner United States
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Thomas Raabe relative to Molly Craxton United Kingdom Molly Craxton's profile →
Citations per field
00.5×6.5×
Molly Craxton · 1×
Citations per year

Countries citing papers authored by Thomas Raabe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Thomas Raabe Line = papers co-authored together Thomas Raabe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003228
2 2006206
3 1996190
4 1996171
5 1999156
6 1993108
7 200083
8 200173
9 201073
10 200272
11 199869
12 199561
13 200459
14 200348
15 201545
16 200042
17 200538
18 199035
19 200834
20 200034

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 63 papers that have together received 2.4k 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 (11 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 Developmental Biology and Gene Regulation (6 papers). The work is most often cited by research in Aging (153 citations), Endocrine and Autonomic Systems (333 citations), Cellular and Molecular Neuroscience (691 citations), Cell Biology (556 citations) and Molecular Biology (1.3k 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, Yasushi Izumi, Kanako Hisata, Nao Ohta, Fumio Matsuzaki, Ernst Hafen and F. Rob Jackson. Their work appears in journals such as Gene, Development, Current Biology, Mechanisms of Development and Journal of Neuroscience.

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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