Michael Wacker

80 papers receiving 4.0k citations

Peers

Michael Wacker
Comparison fields: 5 of 124
  • Endocrinology 569
  • Nephrology 449
  • Molecular Medicine 173
  • Molecular Biology 2.3k
  • Microbiology 187
Replace Lennart S. Forsberg with:
Lennart S. Forsberg United States
Liyan Hu China
Brian V. Geisbrecht United States
Ikuo Kawamura Japan
Martin W. Bader United States
C R Raetz United States
Hayyoung Lee South Korea
Naoki Koide Japan
N. L. Simmons United Kingdom
Tom G. Obrig United States
Michael Wacker relative to Lennart S. Forsberg United States Lennart S. Forsberg's profile →
Citations per field
00.5×2×3×4.0×
Lennart S. Forsberg · 1×
Citations per year

Countries citing papers authored by Michael Wacker

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002663
2 2005376
3 2006308
4 2015195
5 2006172
6 2013162
7 2014153
8 2010148
9 2005138
10 2013118
11 2017106
12 2012100
13 200498
14
Analysis of one-step and two-step real-time RT-PCR using SuperScript III.
200595
15 201578
16 200969
17 200557
18 201552
19 201051
20
Age-related changes in relative expression of real-time PCR housekeeping genes in human skeletal muscle.
200645

About Michael Wacker

Michael Wacker is a scholar working on Endocrinology, Nephrology, Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine, having authored 82 papers that have together received 4.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (11 papers), Bacteriophages and microbial interactions (10 papers), Escherichia coli research studies (9 papers), Parathyroid Disorders and Treatments (8 papers), Fermentation and Sensory Analysis (7 papers), Fibroblast Growth Factor Research (6 papers), Muscle Physiology and Disorders (6 papers) and Ion channel regulation and function (5 papers). The work is most often cited by research in Endocrinology (569 citations), Nephrology (449 citations), Molecular Medicine (173 citations), Molecular Biology (2.3k citations) and Microbiology (187 citations). Michael Wacker has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Markus Aebi, Michael Kowarik, JAN T. POOLMAN, A. DELL, Paul G. Hitchen, Howard R. Morris, Michael P. Godard, Mihai Nita Lazar, Lynda Faye Bonewald and Chad D. Touchberry. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Glycobiology, Aging, The FASEB Journal and American Journal of Physiology-Endocrinology and Metabolism.

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.

Explore authors with similar magnitude of impact