Anne Paoletti

3.1k citations
40 papers · 2.4k · h-index 25

Impact in

  • Cell Biology top 0.5%
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
    • Cellular transport and secretion
    • Fungal and yeast genetics research
    • Photosynthetic Processes and Mechanisms
    • Protist diversity and phylogeny
    • Genomics and Chromatin Dynamics
    • Plant Reproductive Biology

Papers in

    • Microtubule and mitosis dynamics 32
    • Cellular Mechanics and Interactions 4
    • Fungal and yeast genetics research 27
    • Photosynthetic Processes and Mechanisms 12
    • Genomics and Chromatin Dynamics 6

Anne Paoletti

39 papers receiving 2.4k citations

Peers

Anne Paoletti
Comparison fields: 5 of 84
  • Cell Biology 1.8k
  • Molecular Biology 2.0k
  • Aging 32
  • Biophysics 99
  • Structural Biology 12
Replace Brian K. Haarer with:
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Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by Anne Paoletti

Since Specialization
Citations

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

Fields of papers citing papers by Anne Paoletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996306
2 2009280
3 2000163
4 2005157
5 1997125
6 1995122
7 2003113
8 2005107
9 2000105
10 200484
11 200676
12 200874
13 200971
14 200365
15 201759
16 201156
17 199751
18 201341
19 201441
20 201236

About Anne Paoletti

Anne Paoletti is a scholar working on Cell Biology, Molecular Biology, Plant Science, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 2.4k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (32 papers), Fungal and yeast genetics research (27 papers), Photosynthetic Processes and Mechanisms (12 papers), Genomics and Chromatin Dynamics (6 papers), Cellular Mechanics and Interactions (4 papers), Plant nutrient uptake and metabolism (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Biofuel production and bioconversion (3 papers). The work is most often cited by research in Cell Biology (1.8k citations), Molecular Biology (2.0k citations), Aging (32 citations), Biophysics (99 citations) and Structural Biology (12 citations). Anne Paoletti has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Michel Bornens, Fred Chang, Phong T. Tran, Adeline Mayeux, James B. Moseley, Paul Nurse, Michel Paintrand, Mohammed Moudjou, Jeffrey L. Salisbury and Sergio A. Rincón. Their work appears in journals such as Journal of Cell Science, The Journal of Cell Biology, Current Biology, Molecular Biology of the Cell and Proceedings of the National Academy of Sciences.

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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