Michael M. Kämpf

628 citations
15 papers · 501 · h-index 11

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 3
    • Bioinformatics and Genomic Networks 2
    • bioluminescence and chemiluminescence research 2
    • Gene Regulatory Network Analysis 2

Michael M. Kämpf

15 papers receiving 498 citations

Peers

Michael M. Kämpf
Comparison fields: 5 of 71
  • Endocrinology 27
  • Cellular and Molecular Neuroscience 94
  • Biomaterials 62
  • Molecular Biology 301
  • Plant Science 159
Replace Mark G. Teese with:
Mark G. Teese Germany
Ilja Westerlaken Netherlands
Kazuki Iwabata Japan
Roger R. Draheim United Kingdom
Bicheng He China
Yumiko Mishima Japan
Olaf Selchow Germany
Christopher S. Crowley United States
Irina Dementieva United States
Ariadna Martos Spain
Michael M. Kämpf relative to Mark G. Teese Germany Mark G. Teese's profile →
Citations per field
00.5×2.6×
Mark G. Teese · 1×
Citations per year

Countries citing papers authored by Michael M. Kämpf

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Kämpf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2013154
2 201362
3 201657
4 201549
5 201033
6 201133
7 200928
8 200927
9 201423
10 201211
11 200910
12 20148
13 20094
14 20111
15 20171

About Michael M. Kämpf

Michael M. Kämpf is a scholar working on Molecular Biology, Biomaterials, Plant Science, Biomedical Engineering and Organic Chemistry, having authored 15 papers that have together received 501 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Light effects on plants (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Bioinformatics and Genomic Networks (2 papers), bioluminescence and chemiluminescence research (2 papers), Gene Regulatory Network Analysis (2 papers), Polymer Surface Interaction Studies (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Endocrinology (27 citations), Cellular and Molecular Neuroscience (94 citations), Biomaterials (62 citations), Molecular Biology (301 citations) and Plant Science (159 citations). Michael M. Kämpf has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Wilfried Weber, Martin Ehrbar, Linda Thöny‐Meyer, Birgit Absmanner, Ludwig Lehle, Greta Faccio, Jens Timmer, Raphael Engesser, Stéphanie Metzger and Simon Schulz. Their work appears in journals such as Advanced Functional Materials, Scientific Reports, International Journal of Biological Macromolecules, Integrative Biology and Journal of Biological Chemistry.

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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