Udo Häcker

2.7k citations
22 papers · 2.0k · h-index 18

Impact in

    • Proteoglycans and glycosaminoglycans research
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics
    • Hippo pathway signaling and YAP/TAZ
  • Aging top 5%

Papers in

    • Hippo pathway signaling and YAP/TAZ 6
    • Cellular Mechanics and Interactions 5
    • Microtubule and mitosis dynamics 4
    • Developmental Biology and Gene Regulation 7
    • Wnt/β-catenin signaling in development and cancer 4

Udo Häcker

22 papers receiving 1.9k citations

Peers

Udo Häcker
Comparison fields: 5 of 100
  • Cell Biology 933
  • Aging 58
  • Molecular Biology 1.4k
  • Immunology and Allergy 70
  • Cellular and Molecular Neuroscience 217
Replace Esther M. Verheyen with:
Esther M. Verheyen Canada
Michael Zavortink United States
Bernard M. Mechler Germany
Cyrille Alexandre United Kingdom
Irina A. Kramerova United States
Acaimo González‐Reyes Spain
Laurel A. Raftery United States
Frieder Schöck Canada
Lídia Pérez Spain
Yi Sun Taiwan
Udo Häcker relative to Esther M. Verheyen Canada Esther M. Verheyen's profile →
Citations per field
00.5×1.5×
Esther M. Verheyen · 1×
Citations per year

Countries citing papers authored by Udo Häcker

Since Specialization
Citations

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

Fields of papers citing papers by Udo Häcker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005562
2 1997251
3 2004180
4 2003138
5 1992109
6 2001105
7 200379
8 199573
9 200573
10 200464
11 200549
12 200841
13 201137
14 201336
15 200631
16 200427
17 199226
18 199219
19 198818
20 201017

About Udo Häcker

Udo Häcker is a scholar working on Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience, Genetics and Immunology, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (7 papers), Hippo pathway signaling and YAP/TAZ (6 papers), Cellular Mechanics and Interactions (5 papers), Microtubule and mitosis dynamics (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Invertebrate Immune Response Mechanisms (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Cell Biology (933 citations), Aging (58 citations), Molecular Biology (1.4k citations), Immunology and Allergy (70 citations) and Cellular and Molecular Neuroscience (217 citations). Udo Häcker has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Norbert Perrimon, Kent E. Nybakken, Xinhua Lin, Stephen L. Rogers, Ernst A. Wimmer, Sverker Nystedt, Carsten Horn, Herbert Jäckle, Ursula Wiedemann and Chris W. Turck. Their work appears in journals such as Development, FEBS Letters, Gene, Proceedings of the National Academy of Sciences and Current 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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