Michael Haugwitz

1.4k citations
13 papers · 483 indexed · h-index 7
Topics
Cellular transport and secretion (3 papers)Cellular Mechanics and Interactions (3 papers)Cell Image Analysis Techniques (3 papers)
Partner nations
GermanyUnited States

In The Last Decade

Michael Haugwitz

12 papers receiving 477 citations

Peers

Michael Haugwitz
Comparison fields: 5 of 63
  • Cell Biology 356
  • Molecular Biology 264
  • Biophysics 63
  • Cardiology and Cardiovascular Medicine 47
  • Surgery 44
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
Michael Haugwitz relative to Dmitry S. Ushakov United Kingdom Dmitry S. Ushakov's profile →
Citations per field
00.5×3.7×
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-authorship network of co-authors of Michael Haugwitz

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Haugwitz. A scholar is included among the top collaborators of Michael Haugwitz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Haugwitz. Michael Haugwitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2
AcGFP and mCherry Calibration Beads for Flow Cytometry
2
3 17
4 5
5 4
6 0
7 22
8 94
9 54
10 25
11 196
12 62
13 1

About Michael Haugwitz

Michael Haugwitz is a scholar working on Biophysics, Cell Biology and Immunology and Allergy, having authored 13 papers that have together received 483 indexed citations. Recurring topics across this work include Cellular transport and secretion (3 papers), Cellular Mechanics and Interactions (3 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Cell Biology (356 citations), Biophysics (63 citations) and Aging (9 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, Friedrich Lottspeich, D. Rieger, Hiroaki Sagawa, Ludwig Eichinger and H P Moore. Their work appears in journals such as Cell, Journal of Neuroscience and Nature Methods.

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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