Anna Kaufmann

709 citations
8 papers · 561 · h-index 6

Impact in

  • Biophysics top 5%
    • Advanced Fluorescence Microscopy Techniques
    • Cell Image Analysis Techniques
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease
    • Zebrafish Biomedical Research Applications
    • Cellular transport and secretion

Papers in

    • Cellular transport and secretion 2
    • Endoplasmic Reticulum Stress and Disease 2
    • Autophagy in Disease and Therapy 3

Anna Kaufmann

8 papers receiving 556 citations

Peers

Anna Kaufmann
Comparison fields: 5 of 92
  • Biophysics 120
  • Cell Biology 181
  • Physiology 40
  • Structural Biology 11
  • Epidemiology 216
Replace Daniel Rönnlund with:
Daniel Rönnlund Sweden
Annamma Spudich United States
Brittany J. Belin United States
Christian Rouvière France
Eric Stephen Cole United States
Laura A. Fox United States
Irina A. Mueller United States
Ewa Joachimiak Poland
Alexander James Anderson Australia
Barbara S. Pauly United States
Anna Kaufmann relative to Daniel Rönnlund Sweden Daniel Rönnlund's profile →
Citations per field
00.5×2×4×6×8×10×
Daniel Rönnlund · 1×
Citations per year

Countries citing papers authored by Anna Kaufmann

Since Specialization
Citations

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

Fields of papers citing papers by Anna Kaufmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2012212
2 2014196
3 201063
4 202045
5 201127
6 201411
7 20225
8 20212

About Anna Kaufmann

Anna Kaufmann is a scholar working on Cell Biology, Epidemiology, Biophysics, Physiology and Surfaces, Coatings and Films, having authored 8 papers that have together received 561 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (3 papers), Virus-based gene therapy research (2 papers), Cellular transport and secretion (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Lysosomal Storage Disorders Research (2 papers), vaccines and immunoinformatics approaches (1 paper), RNA regulation and disease (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Biophysics (120 citations), Cell Biology (181 citations), Physiology (40 citations), Structural Biology (11 citations) and Epidemiology (216 citations). Anna Kaufmann has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Thomas Wollert, Viola Beier, Michaela Mickoleit, Michael Weber, Jan Huisken, Henri G. Franquelim, Dieter A. Wolf-Gladrow, Helle Ploug, Uta Passow and Anja Terbrüggen. Their work appears in journals such as Cell, International Journal of Molecular Sciences, Development, Nature Communications and Nucleus.

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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