Mark Sevecka
Impact in
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- Monoclonal and Polyclonal Antibodies Research
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- Advanced Biosensing Techniques and Applications
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Gene expression and cancer classification
Papers in
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- Monoclonal and Polyclonal Antibodies Research 5
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- Cell Image Analysis Techniques 2
- Co-authors
- Gavin MacBeath (8 shared papers)Alejandro Wolf‐Yadlin (4 shared papers)Viara Grantcharova (1 shared paper)Michael Allen Stiffler (1 shared paper)Andrew G. Gordus (1 shared paper)Jordan A. Krall (1 shared paper)Augustus John Rush (1 shared paper)Alexis Kaushansky (1 shared paper)
- Journals
- Science Signaling (2 papers)Molecular Systems Biology (1 paper)Current Opinion in Chemical Biology (1 paper)Nature Methods (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Mark Sevecka
9 papers receiving 372 citations
Peers
Comparison fields: 5 of 57
- Radiology, Nuclear Medicine and Imaging 105
- Molecular Biology 300
- Oncology 71
- Spectroscopy 48
- Biophysics 16
Countries citing papers authored by Mark Sevecka
This map shows the geographic impact of Mark Sevecka'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 Sevecka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Sevecka more than expected).
Fields of papers citing papers by Mark Sevecka
This network shows the impact of papers produced by Mark Sevecka. 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 Sevecka. The network helps show where Mark Sevecka may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Sevecka, 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 | 2006 | 79 | |
| 2 | 2009 | 72 | |
| 3 | 2006 | 57 | |
| 4 | 2009 | 46 | |
| 5 | 2015 | 46 | |
| 6 | 2011 | 36 | |
| 7 | 2017 | 33 | |
| 8 | 2012 | 21 | |
| 9 | 2013 | 3 |
About Mark Sevecka
Mark Sevecka is a scholar working on Radiology, Nuclear Medicine and Imaging, Biophysics, Computational Theory and Mathematics, Molecular Biology and Oncology, having authored 9 papers that have together received 393 indexed citations. Recurring topics across this work include Advanced Biosensing Techniques and Applications (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Computational Drug Discovery Methods (3 papers), HER2/EGFR in Cancer Research (3 papers), Cell Image Analysis Techniques (2 papers), Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (105 citations), Molecular Biology (300 citations), Oncology (71 citations), Spectroscopy (48 citations) and Biophysics (16 citations). Mark Sevecka has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Gavin MacBeath, Alejandro Wolf‐Yadlin, Viara Grantcharova, Michael Allen Stiffler, Andrew G. Gordus, Jordan A. Krall, Augustus John Rush, Alexis Kaushansky, Neeraj Kohli and Raghida A. Bukhalid. Their work appears in journals such as Science Signaling, Molecular Systems Biology, Current Opinion in Chemical Biology, Nature Methods and Molecular Cancer Therapeutics.
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.