Kai Michelsen

816 citations
20 papers · 588 · h-index 9

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Physiology top 10%

Papers in

Kai Michelsen

18 papers receiving 572 citations

Peers

Kai Michelsen
Comparison fields: 5 of 94
  • Cell Biology 137
  • Physiology 25
  • Molecular Biology 323
  • Cellular and Molecular Neuroscience 79
  • General Health Professions 75
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Citations per field
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Citations per year

Countries citing papers authored by Kai Michelsen

Since Specialization
Citations

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

Fields of papers citing papers by Kai Michelsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2005196
2 2003168
3 200751
4 201441
5 201439
6 200622
7 201316
8 201211
9 20158
10 20127
11 20176
12 20176
13
Promoting Better Integration of Health Information Systems: Best Practices and Challenges
20156
14 20074
15 20172
16 20131
17 20131
18 20121
19
Leadership for public health in Europe: student module book
20131
20
Vaccination Policy: Ethical perspectives on a future vaccination program against COVID-19 in Germany.
20201

About Kai Michelsen

Kai Michelsen is a scholar working on General Health Professions, Molecular Biology, Economics and Econometrics, Health and Cell Biology, having authored 20 papers that have together received 588 indexed citations. Recurring topics across this work include 14-3-3 protein interactions (3 papers), Global Health Care Issues (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Public Health Policies and Education (2 papers), Healthcare Policy and Management (2 papers), Health disparities and outcomes (2 papers), Health and Medical Studies (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cell Biology (137 citations), Physiology (25 citations), Molecular Biology (323 citations), Cellular and Molecular Neuroscience (79 citations) and General Health Professions (75 citations). Kai Michelsen has collaborated with scholars based in Netherlands, Germany and Switzerland. Frequent co-authors include Blanche Schwappach, Hebao Yuan, Helmut Brand, Timo Clemens, Matt Commers, Caroline Costongs, Stephan Van den Broucke, Christoph Aluttis, Pascal Garel and Volker Schmid. Their work appears in journals such as Health Policy, European Journal of Public Health, Current Biology, Health Economics Policy and Law and International Journal of Technology Assessment in Health Care.

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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