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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- Advanced Biosensing Techniques and Applications 5
- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 2
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Gavin MacBeath (8 shared papers)Alejandro Wolf‐Yadlin (4 shared papers)Viara Grantcharova (1 shared paper)Michael A. Stiffler (1 shared paper)Jordan A. Krall (1 shared paper)Alexis Kaushansky (1 shared paper)Andrew Gordus (1 shared paper)A. John Rush (1 shared paper)
- Journals
- Science Signaling (2 papers)npj Systems Biology and Applications (1 paper)Nature Methods (1 paper)Molecular Systems Biology (1 paper)Current Opinion in Chemical Biology (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Mark Sevecka
9 papers receiving 365 citations
Peers
Comparison fields: 5 of 55
- Radiology, Nuclear Medicine and Imaging 98
- Molecular Biology 288
- Oncology 71
- Spectroscopy 47
- 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 | 76 | |
| 2 | 2009 | 70 | |
| 3 | 2006 | 54 | |
| 4 | 2015 | 45 | |
| 5 | 2009 | 43 | |
| 6 | 2017 | 33 | |
| 7 | 2011 | 33 | |
| 8 | 2012 | 21 | |
| 9 | 2013 | 3 |
About Mark Sevecka
Mark Sevecka is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Computational Theory and Mathematics and Biophysics, having authored 9 papers that have together received 378 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Advanced Biosensing Techniques and Applications (5 papers), Computational Drug Discovery Methods (3 papers), HER2/EGFR in Cancer Research (3 papers), Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers), Cell Image Analysis Techniques (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (98 citations), Molecular Biology (288 citations), Oncology (71 citations), Spectroscopy (47 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 A. Stiffler, Jordan A. Krall, Alexis Kaushansky, Andrew Gordus, A. John Rush, Thomas Joos and Andreas Raue. Their work appears in journals such as Science Signaling, npj Systems Biology and Applications, Nature Methods, Molecular Systems Biology and Current Opinion in Chemical Biology.
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.