Mike Schutkowski

7.5k citations
136 papers · 6.0k indexed · 1 hit paper · h-index 41

Mike Schutkowski

129 papers receiving 5.9k citations

Hit Papers

Sequence-Specific and Phosphorylation-Dependent Proline I...6541997202620062016200400600

Peers

Mike Schutkowski
Comparison fields: 5 of 125
  • Geriatrics and Gerontology 1.2k
  • Physiology 470
  • Molecular Biology 4.3k
  • Oncology 1.3k
  • Immunology 686
Replace Ronen Marmorstein with:
Ronen Marmorstein United States
Manuel A. Navia United States
H. Schüler Sweden
Frank Löhr Germany
Tsunehiro Mizushima Japan
Tatiana G. Kutateladze United States
Diana R. Tomchick United States
John F. Eccleston United Kingdom
John M. Pascal United States
Daniela Rhodes United Kingdom
Mike Schutkowski relative to Ronen Marmorstein United States Ronen Marmorstein's profile →
Citations per field
00.5×1.5×
Ronen Marmorstein · 1×
Citations per year

Countries citing papers authored by Mike Schutkowski

Since Specialization
Citations

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

Fields of papers citing papers by Mike Schutkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20246
4 20242
5 202311
6 20234
7 20233
8 202223
9 202136
10 201927
11 201329
12 200934
13 200911
14 200572
15 200512
16 200448
17 200481
18 200057
19 199765
20 199519

About Mike Schutkowski

Mike Schutkowski is a scholar working on Geriatrics and Gerontology, Physiology, Molecular Biology, Oncology and Virology, having authored 136 papers that have together received 6.0k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (31 papers), Histone Deacetylase Inhibitors Research (28 papers), Signaling Pathways in Disease (27 papers), Sirtuins and Resveratrol in Medicine (24 papers), Chemical Synthesis and Analysis (21 papers), Autophagy in Disease and Therapy (20 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and Advanced Biosensing Techniques and Applications (16 papers). The work is most often cited by research in Geriatrics and Gerontology (1.2k citations), Physiology (470 citations), Molecular Biology (4.3k citations), Oncology (1.3k citations) and Immunology (686 citations). Mike Schutkowski has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Gunter Fischer, Clemens Steegborn, Ulf Reimer, Mario Drewello, Mahadevan Lakshminarasimhan, Gerd Scherer, Xiao Zhen Zhou, Kun Ping Lu, Marat Meleshin and Frank Fischer. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Journal of Molecular Biology, Angewandte Chemie International Edition and Journal of Medicinal 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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