F. Märki

1.8k citations
46 papers · 1.5k · h-index 24

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 19
    • Metabolism, Diabetes, and Cancer 4
    • Glycosylation and Glycoproteins Research 2
    • Nitric Oxide and Endothelin Effects 5

F. Märki

45 papers receiving 1.5k citations

Peers

F. Märki
Comparison fields: 5 of 106
  • Molecular Biology 872
  • Physiology 53
  • Pharmacology 165
  • Immunology 209
  • Microbiology 57
Replace Michel Fay with:
Michel Fay France
M A Clark United States
Pramod M. Lad United States
Hitoshi Yagisawa Japan
Márta Szamel Germany
B Thiele Germany
Madhavi J. Rane United States
Gennaro Illiano Italy
I Kudo Japan
Kamen Koumanov Bulgaria
F. Märki relative to Michel Fay France Michel Fay's profile →
Citations per field
00.5×1.5×2.4×
Michel Fay · 1×
Citations per year

Countries citing papers authored by F. Märki

Since Specialization
Citations

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

Fields of papers citing papers by F. Märki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989171
2 199197
3 199196
4 198692
5 199285
6 199072
7 199070
8 199265
9 196363
10 198755
11 199148
12 199146
13
Synovial type (group II) phospholipase A2 in cartilage.
199345
14 197939
15 198938
16 199236
17 199134
18 199334
19 199031
20 199030

About F. Märki

F. Märki is a scholar working on Molecular Biology, Physiology, Surgery, Pharmacology and Pathology and Forensic Medicine, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (19 papers), Nitric Oxide and Endothelin Effects (5 papers), Pancreatic function and diabetes (5 papers), Biomedical Research and Pathophysiology (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Venomous Animal Envenomation and Studies (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Molecular Biology (872 citations), Physiology (53 citations), Pharmacology (165 citations), Immunology (209 citations) and Microbiology (57 citations). F. Märki has collaborated with scholars based in Switzerland, United States and Finland. Frequent co-authors include Josef Pfeilschifter, H. van den Bosch, W. Pignat, Casper G. Schalkwijk, Klaus Vosbeck, Richard Franson, Josef Pfeilschifter, Bernhard Witkop, Andreas Fredenhagen and Jan van Oostrum. Their work appears in journals such as FEBS Letters, Biochemical and Biophysical Research Communications, Regulatory Peptides, The Journal of Biochemistry and Hormone and Metabolic Research.

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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