Michael Haugwitz

1.4k citations
13 papers · 483 · h-index 7

Impact in

    • Cellular Mechanics and Interactions
    • Cellular transport and secretion
    • Microtubule and mitosis dynamics
  • Biophysics top 5%
    • Advanced Fluorescence Microscopy Techniques

Papers in

    • Signaling Pathways in Disease 2
    • Protein Degradation and Inhibitors 2
    • Lipid Membrane Structure and Behavior 2
    • Single-cell and spatial transcriptomics 1
    • Cellular transport and secretion 3
    • Cellular Mechanics and Interactions 3

Michael Haugwitz

12 papers receiving 477 citations

Peers

Michael Haugwitz
Comparison fields: 5 of 63
  • Cell Biology 356
  • Biophysics 63
  • Aging 9
  • Immunology and Allergy 29
  • Physiology 20
Replace Dmitry S. Ushakov with:
Dmitry S. Ushakov United Kingdom
Harvey F. Chin United States
Y L Wang China
Thomas M. Huckaba United States
Jenna R. Christensen United States
Fatima K. Gyoeva Russia
Christina Schlatterer Germany
Kirsten Remmert United States
Sara Bisi Italy
Stephanie Levi United States
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Citations per field
00.5×1.5×1.9×
Dmitry S. Ushakov · 1×
Citations per year

Countries citing papers authored by Michael Haugwitz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Haugwitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1994196
2 200094
3 199162
4 199754
5 199525
6 200222
7 200817
8 20085
9 20084
10
AcGFP and mCherry Calibration Beads for Flow Cytometry
20142
11 19871
12 20161
13 20060

About Michael Haugwitz

Michael Haugwitz is a scholar working on Molecular Biology, Cell Biology, Biophysics, Biomedical Engineering and Surgery, having authored 13 papers that have together received 483 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (3 papers), Cellular transport and secretion (3 papers), Cellular Mechanics and Interactions (3 papers), Signaling Pathways in Disease (2 papers), Protein Degradation and Inhibitors (2 papers), Lipid Membrane Structure and Behavior (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cell Biology (356 citations), Biophysics (63 citations), Aging (9 citations), Immunology and Allergy (29 citations) and Physiology (20 citations). Michael Haugwitz has collaborated with scholars based in Germany and United States. Frequent co-authors include Benjamin A. Eaton, Hsiao‐Ping H. Moore, Angelika A. Noegel, Michael Schleicher, C. Fernández, D. Rieger, Friedrich Lottspeich, Hiroaki Sagawa, Andreas Hofmann and Ludwig Eichinger. Their work appears in journals such as Molecular Therapy, Molecular Biology of the Cell, Nature Methods, FEBS Letters and Journal of Neuroscience.

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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