Michael Mäder

2.8k citations
57 papers · 2.4k · h-index 23

Impact in

Papers in

Michael Mäder

57 papers receiving 2.3k citations

Peers

Michael Mäder
Comparison fields: 5 of 117
  • Cellular and Molecular Neuroscience 542
  • Gastroenterology 144
  • Endocrinology, Diabetes and Metabolism 369
  • Neurology 183
  • Developmental Neuroscience 65
Replace Laurent Taupenot with:
Laurent Taupenot United States
Hiroshi Sugiya Japan
Andrew B. Leiter United States
Françoise Cluzeaud France
Chen Liaw United States
S. Legon United Kingdom
Jean‐Jacques Mermod Switzerland
Malvyne Rolli‐Derkinderen France
Sushil K. Mahata United States
Börje Uvnäs Sweden
Michael Mäder relative to Laurent Taupenot United States Laurent Taupenot's profile →
Citations per field
00.5×2.7×
Laurent Taupenot · 1×
Citations per year

Countries citing papers authored by Michael Mäder

Since Specialization
Citations

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

Fields of papers citing papers by Michael Mäder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999283
2 2014260
3 2013210
4 1995134
5 1982119
6 1993116
7 2000110
8 201599
9 199788
10 200072
11 199671
12 200166
13 199862
14 197560
15 199847
16 199844
17 199542
18 200142
19 200035
20 199531

About Michael Mäder

Michael Mäder is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Neurology and Endocrinology, Diabetes and Metabolism, having authored 57 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (8 papers), Neuroscience and Neuropharmacology Research (6 papers), Glycosylation and Glycoproteins Research (6 papers), Protease and Inhibitor Mechanisms (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Diabetes Treatment and Management (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (542 citations), Gastroenterology (144 citations), Endocrinology, Diabetes and Metabolism (369 citations), Neurology (183 citations) and Developmental Neuroscience (65 citations). Michael Mäder has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Michael Schemann, K. Felgenhauer, Frank Weber, K Brauer, Gert Brückner, H. Sann, Wolfgang Beuche, Amin Derouiche, Wolfgang Härtig and Andreas Reichenbach. Their work appears in journals such as Journal of Neuroimmunology, Journal of Immunological Methods, Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Neurochemistry and PLANT PHYSIOLOGY.

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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