Michael Haugwitz
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Cellular transport and secretion
- Microtubule and mitosis dynamics
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Protein Degradation and Inhibitors 2
- Lipid Membrane Structure and Behavior 2
- Signaling Pathways in Disease 2
- Viral Infectious Diseases and Gene Expression in Insects 1
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- Cellular transport and secretion 3
- Cellular Mechanics and Interactions 3
- Co-authors
- Benjamin A. Eaton (3 shared papers)Hsiao‐Ping H. Moore (2 shared papers)Michael Schleicher (2 shared papers)Angelika A. Noegel (2 shared papers)C. Fernández (1 shared paper)D. Rieger (1 shared paper)Friedrich Lottspeich (1 shared paper)Hiroaki Sagawa (3 shared papers)
- Journals
- Molecular Therapy (2 papers)Nature Methods (1 paper)BioTechniques (1 paper)Journal of Cell Science (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Michael Haugwitz
12 papers receiving 480 citations
Peers
Comparison fields: 5 of 62
- Cell Biology 356
- Biophysics 60
- Aging 9
- Immunology and Allergy 28
- Physiology 20
Countries citing papers authored by Michael Haugwitz
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 197 | |
| 2 | 2000 | 94 | |
| 3 | 1991 | 62 | |
| 4 | 1997 | 54 | |
| 5 | 1995 | 25 | |
| 6 | 2002 | 22 | |
| 7 | 2008 | 18 | |
| 8 | 2008 | 6 | |
| 9 | 2008 | 4 | |
| 10 | AcGFP and mCherry Calibration Beads for Flow Cytometry | 2014 | 2 |
| 11 | 2016 | 1 | |
| 12 | 1987 | 1 | |
| 13 | 2006 | 0 |
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 486 indexed citations. Recurring topics across this work include Cellular transport and secretion (3 papers), Cellular Mechanics and Interactions (3 papers), Cell Image Analysis Techniques (3 papers), Protein Degradation and Inhibitors (2 papers), Lipid Membrane Structure and Behavior (2 papers), Signaling Pathways in Disease (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Cell Biology (356 citations), Biophysics (60 citations), Aging (9 citations), Immunology and Allergy (28 citations) and Physiology (20 citations). Michael Haugwitz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Benjamin A. Eaton, Hsiao‐Ping H. Moore, Michael Schleicher, Angelika A. Noegel, C. Fernández, D. Rieger, Friedrich Lottspeich, Hiroaki Sagawa, H P Moore and Christophe Andréoli. Their work appears in journals such as Molecular Therapy, Nature Methods, BioTechniques, Journal of Cell Science and Molecular Biology of the Cell.
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.