Mike Schutkowski
- Geriatrics and Gerontology top 0.1%
- Sirtuins and Resveratrol in Medicine 24
- Physiology top 0.5%
- Molecular Biology top 1%
- Histone Deacetylase Inhibitors Research 28
- Signaling Pathways in Disease 27
- Chemical Synthesis and Analysis 21
- Advanced Biosensing Techniques and Applications 16
- Oncology top 2%
- Peptidase Inhibition and Analysis 31
- Immunology top 5%
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- Autophagy in Disease and Therapy 20
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- Monoclonal and Polyclonal Antibodies Research 17
- Co-authors
- Gunter FischerClemens SteegbornUlf ReimerMario DrewelloMahadevan LakshminarasimhanGerd SchererXiao Zhen ZhouKun Ping Lu
- Journals
- Biochemistry (7 papers)Journal of Biological Chemistry (6 papers)Journal of Molecular Biology (6 papers)
- Partner nations
- GermanyUnited StatesCzechia
In The Last Decade
Mike Schutkowski
129 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Geriatrics and Gerontology 1.2k
- Physiology 470
- Molecular Biology 4.3k
- Oncology 1.3k
- Immunology 686
Countries citing papers authored by Mike Schutkowski
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 23 | |
| 9 | 2021 | 36 | |
| 10 | 2019 | 27 | |
| 11 | 2013 | 29 | |
| 12 | 2009 | 34 | |
| 13 | 2009 | 11 | |
| 14 | 2005 | 72 | |
| 15 | 2005 | 12 | |
| 16 | 2004 | 48 | |
| 17 | 2004 | 81 | |
| 18 | 2000 | 57 | |
| 19 | 1997 | 65 | |
| 20 | 1995 | 19 |
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.