Andreas Prokop

5.6k citations
80 papers · 4.3k · h-index 38

Impact in

  • Aging top 0.5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Cell Biology top 0.5%
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics
    • Cellular transport and secretion

Papers in

Andreas Prokop

80 papers receiving 4.2k citations

Peers

Andreas Prokop
Comparison fields: 5 of 113
  • Aging 303
  • Cell Biology 2.1k
  • Cellular and Molecular Neuroscience 2.3k
  • Developmental Neuroscience 211
  • Molecular Biology 2.5k
Replace David Van Vactor with:
David Van Vactor United States
Alain Ghysen Belgium
Haig Keshishian United States
Krystyna Keleman Austria
Yoshiki Hotta Japan
Stefan Thor Sweden
Frank Schnorrer Germany
Vivian Budnik United States
Yasushi Hiromi Japan
François Schweisguth France
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Citations per field
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Citations per year

Countries citing papers authored by Andreas Prokop

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Prokop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996368
2 1995318
3 1991216
4 2004191
5 1998133
6 1993129
7 2003127
8 1996117
9 2005112
10 1998107
11 1998105
12 2009104
13 200397
14 199997
15 199496
16 199887
17 201686
18 201286
19 199985
20 200884

About Andreas Prokop

Andreas Prokop is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Molecular Biology, Biomaterials and Aging, having authored 80 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (34 papers), Cellular Mechanics and Interactions (23 papers), Microtubule and mitosis dynamics (21 papers), Cellular transport and secretion (18 papers), Developmental Biology and Gene Regulation (11 papers), Ubiquitin and proteasome pathways (8 papers), Silk-based biomaterials and applications (8 papers) and Genetics, Aging, and Longevity in Model Organisms (8 papers). The work is most often cited by research in Aging (303 citations), Cell Biology (2.1k citations), Cellular and Molecular Neuroscience (2.3k citations), Developmental Neuroscience (211 citations) and Molecular Biology (2.5k citations). Andreas Prokop has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Gerhard M. Technau, Natalia Sánchez‐Soriano, Kendal Broadie, Hugo J. Bellen, Michael Bate, Matthias Landgraf, Stefan Baumgartner, Ines Hahn, John Roote and Cahir J. O’Kane. Their work appears in journals such as Developmental Biology, Journal of Neuroscience, Development, Seminars in Cell and Developmental Biology and Journal of Cell Science.

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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