Anne Straube

3.2k citations
42 papers · 2.2k indexed · h-index 27

Impact in

  • Cell Biology top 0.5%
    • Microtubule and mitosis dynamics
    • Cellular transport and secretion
    • Cellular Mechanics and Interactions
    • Fungal and yeast genetics research
    • Photosynthetic Processes and Mechanisms
    • Protist diversity and phylogeny
    • Ubiquitin and proteasome pathways
    • RNA Research and Splicing

Papers in

    • Microtubule and mitosis dynamics 29
    • Cellular Mechanics and Interactions 11
    • Cellular transport and secretion 7

Anne Straube

42 papers receiving 2.2k citations

Peers

Anne Straube
Comparison fields: 5 of 122
  • Cell Biology 1.3k
  • Molecular Biology 1.4k
  • Aging 20
  • Structural Biology 13
  • Infectious Diseases 165
Replace Dae In Kim with:
Dae In Kim United States
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Mary Munson United States
Alexander F. Palazzo Canada
Ivan E. Ivanov United States
Jeremy G. Carlton United Kingdom
David Teis Austria
Evelyne Coudrier France
Sebastiano Pasqualato Italy
Martin Stöter Germany
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Citations per field
00.5×1.5×2.3×
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Citations per year

Countries citing papers authored by Anne Straube

Since Specialization
Citations

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

Fields of papers citing papers by Anne Straube

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20226
3 202110
4 201934
5 201936
6 201947
7 201745
8 20156
9 201427
10 201361
11 20115
12 2011202
13 20119
14 201192
15 200782
16 2006178
17 200563
18 200573
19 200289
20 20012

About Anne Straube

Anne Straube is a scholar working on Cell Biology, Aging, Molecular Biology, Infectious Diseases and Statistics, Probability and Uncertainty, having authored 42 papers that have together received 2.2k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (29 papers), Cellular Mechanics and Interactions (11 papers), Cellular transport and secretion (7 papers), Photosynthetic Processes and Mechanisms (7 papers), Ubiquitin and proteasome pathways (6 papers), Fungal and yeast genetics research (6 papers), Protist diversity and phylogeny (4 papers) and SARS-CoV-2 detection and testing (3 papers). The work is most often cited by research in Cell Biology (1.3k citations), Molecular Biology (1.4k citations), Aging (20 citations), Structural Biology (13 citations) and Infectious Diseases (165 citations). Anne Straube has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Gero Steinberg, Irina Kaverina, Daniel Röth, Anna Akhmanova, Andreas Merdes, Babet van der Vaart, Alexander J. Zwetsloot, Ulrike Theisen, Binyam Mogessie and Irene Schulz. Their work appears in journals such as Molecular Biology of the Cell, The EMBO Journal, Journal of Cell Science, The Journal of Cell Biology 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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