Michael Daube

480 citations
10 papers · 321 · h-index 7

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Paleontology top 10%
    • Marine Invertebrate Physiology and Ecology

Papers in

    • Developmental Biology and Gene Regulation 3
    • Mitochondrial Function and Pathology 2
    • Genetics, Aging, and Longevity in Model Organisms 6

Michael Daube

10 papers receiving 318 citations

Peers

Michael Daube
Comparison fields: 5 of 64
  • Aging 47
  • Paleontology 42
  • Cellular and Molecular Neuroscience 77
  • Molecular Biology 225
  • Cell Biology 47
Replace William R. Eckberg with:
William R. Eckberg United States
Dingding Fan China
Thomas Loop Switzerland
Florian Razy‐Krajka United States
Corinna Lehmann Germany
Isao Hori Japan
Akiko Hozumi Japan
Martine Le Gouar France
Miho Asaoka Japan
Yosuke Ogura Japan
Michael Daube relative to William R. Eckberg United States William R. Eckberg's profile →
Citations per field
00.5×10.5×
William R. Eckberg · 1×
Citations per year

Countries citing papers authored by Michael Daube

Since Specialization
Citations

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

Fields of papers citing papers by Michael Daube

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Daube. 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 Michael Daube. The network helps show where Michael Daube may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2003119
2 200274
3 200138
4 200730
5 201619
6 201714
7 202013
8 20206
9 20226
10 20232

About Michael Daube

Michael Daube is a scholar working on Molecular Biology, Aging, Cell Biology, Endocrine and Autonomic Systems and Physiology, having authored 10 papers that have together received 321 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Developmental Biology and Gene Regulation (3 papers), Spaceflight effects on biology (2 papers), Mitochondrial Function and Pathology (2 papers), Circadian rhythm and melatonin (2 papers), Invertebrate Immune Response Mechanisms (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Aging (47 citations), Paleontology (42 citations), Cellular and Molecular Neuroscience (77 citations), Molecular Biology (225 citations) and Cell Biology (47 citations). Michael Daube has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Markus Noll, Erich Frei, Renjie Jiao, Lidia Kos, Barbara Norman, Zbyněk Kozmík, Larry J. Dishaw, Joram Piatigorsky, Jesper Kronhamn and Åsa Rasmuson-Lestander. Their work appears in journals such as Development, Developmental Cell, Nature Communications, PLoS Biology and Developmental Biology.

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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