Mark E. Schurdak
Impact in
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment
- Cancer, Lipids, and Metabolism
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Pluripotent Stem Cells Research
- Mitochondrial Function and Pathology
Papers in
-
- DNA Repair Mechanisms 6
- Gene Regulatory Network Analysis 5
- DNA and Nucleic Acid Chemistry 4
- PI3K/AKT/mTOR signaling in cancer 3
- Pluripotent Stem Cells Research 3
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- Carcinogens and Genotoxicity Assessment 9
- Co-authors
- Kurt Randerath (10 shared papers)D. Lansing Taylor (16 shared papers)Lawrence A. Vernetti (9 shared papers)Erika Randerath (3 shared papers)Stephen W. Fesik (4 shared papers)Susan E. Morgan-Lappe (4 shared papers)Andrew M. Stern (12 shared papers)Albert Gough (10 shared papers)
- Journals
- SLAS DISCOVERY (6 papers)Carcinogenesis (5 papers)Environmental Health Perspectives (2 papers)Oncogene (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Mark E. Schurdak
48 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 107
- Cancer Research 430
- Molecular Biology 962
- Hepatology 79
- Biophysics 60
- Cellular and Molecular Neuroscience 165
Countries citing papers authored by Mark E. Schurdak
This map shows the geographic impact of Mark E. Schurdak'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 Mark E. Schurdak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark E. Schurdak more than expected).
Fields of papers citing papers by Mark E. Schurdak
This network shows the impact of papers produced by Mark E. Schurdak. 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 Mark E. Schurdak. The network helps show where Mark E. Schurdak may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark E. Schurdak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 122 | |
| 2 | 2014 | 120 | |
| 3 | 2007 | 114 | |
| 4 | 2007 | 105 | |
| 5 | 2014 | 93 | |
| 6 | 1991 | 84 | |
| 7 | 2019 | 82 | |
| 8 | 2007 | 66 | |
| 9 | 2017 | 58 | |
| 10 | 2011 | 57 | |
| 11 | 2006 | 54 | |
| 12 | 2008 | 50 | |
| 13 | 2007 | 50 | |
| 14 | 2014 | 46 | |
| 15 | 2005 | 39 | |
| 16 | 1988 | 37 | |
| 17 | 2016 | 33 | |
| 18 | 2020 | 33 | |
| 19 | 1987 | 31 | |
| 20 | 2020 | 29 |
About Mark E. Schurdak
Mark E. Schurdak is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Cellular and Molecular Neuroscience and Computational Theory and Mathematics, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (9 papers), DNA Repair Mechanisms (6 papers), 3D Printing in Biomedical Research (6 papers), Computational Drug Discovery Methods (5 papers), Gene Regulatory Network Analysis (5 papers), DNA and Nucleic Acid Chemistry (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Cancer Research (430 citations), Molecular Biology (962 citations), Hepatology (79 citations), Biophysics (60 citations) and Cellular and Molecular Neuroscience (165 citations). Mark E. Schurdak has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Kurt Randerath, D. Lansing Taylor, Lawrence A. Vernetti, Erika Randerath, Stephen W. Fesik, Susan E. Morgan-Lappe, Andrew M. Stern, Albert Gough, Ramesh C. Gupta and Kenneth M. Comess. Their work appears in journals such as SLAS DISCOVERY, Carcinogenesis, Environmental Health Perspectives, Oncogene and Scientific Reports.
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.