Mark Igra
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
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- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
- Advanced Biosensing Techniques and Applications
- Glycosylation and Glycoproteins Research
- Gene expression and cancer classification
Papers in
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- Advanced Proteomics Techniques and Applications 5
- Mass Spectrometry Techniques and Applications 2
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- Metabolomics and Mass Spectrometry Studies 3
- Bioinformatics and Genomic Networks 1
- Co-authors
- Ruihua Fang (3 shared papers)Jimmy K. Eng (4 shared papers)Matthew Fitzgibbon (3 shared papers)Martin McIntosh (4 shared papers)Amanda G. Paulovich (3 shared papers)Peter S. Hussey (4 shared papers)Jeffrey R. Whiteaker (2 shared papers)Damon May (1 shared paper)
- Journals
- Journal of Proteome Research (3 papers)Bioinformatics (1 paper)BMC Medical Informatics and Decision Making (1 paper)Current Protocols in Bioinformatics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United States
In The Last Decade
Mark Igra
9 papers receiving 529 citations
Peers
Comparison fields: 5 of 82
- Spectroscopy 307
- Molecular Biology 348
- Biophysics 12
- Virology 9
- Cancer Research 20
Countries citing papers authored by Mark Igra
This map shows the geographic impact of Mark Igra'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 Igra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Igra more than expected).
Fields of papers citing papers by Mark Igra
This network shows the impact of papers produced by Mark Igra. 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 Igra. The network helps show where Mark Igra may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Igra, 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 | 227 | |
| 2 | 2005 | 169 | |
| 3 | 2011 | 91 | |
| 4 | 2008 | 19 | |
| 5 | 2006 | 12 | |
| 6 | 2011 | 11 | |
| 7 | 2013 | 4 | |
| 8 | 2011 | 3 | |
| 9 | 2016 | 1 |
About Mark Igra
Mark Igra is a scholar working on Spectroscopy, Molecular Biology, Computer Vision and Pattern Recognition, Biophysics and Infectious Diseases, having authored 9 papers that have together received 537 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Data Visualization and Analytics (1 paper), Bioinformatics and Genomic Networks (1 paper), Cell Image Analysis Techniques (1 paper) and Video Analysis and Summarization (1 paper). The work is most often cited by research in Spectroscopy (307 citations), Molecular Biology (348 citations), Biophysics (12 citations), Virology (9 citations) and Cancer Research (20 citations). Mark Igra has collaborated with scholars based in United States. Frequent co-authors include Ruihua Fang, Jimmy K. Eng, Matthew Fitzgibbon, Martin McIntosh, Amanda G. Paulovich, Peter S. Hussey, Jeffrey R. Whiteaker, Damon May, Marc Coram and Jinzhi Chen. Their work appears in journals such as Journal of Proteome Research, Bioinformatics, BMC Medical Informatics and Decision Making, Current Protocols in Bioinformatics and BMC Bioinformatics.
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.