Fred Elisma
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Cancer-related gene regulation
- Metabolomics and Mass Spectrometry Studies
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Protein Structure and Dynamics
Papers in
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- Advanced Proteomics Techniques and Applications 8
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- Heavy Metal Exposure and Toxicity 1
- Co-authors
- Daniel Figeys (12 shared papers)Mohamed Abu‐Farha (4 shared papers)Hu Zhou (5 shared papers)Jean‐Philippe Lambert (2 shared papers)Catherine Jumarie (1 shared paper)Ilona Sylvia Skerjanc (1 shared paper)Ashraf Said Al Madhoun (1 shared paper)Steffany A. L. Bennett (3 shared papers)
In The Last Decade
Fred Elisma
16 papers receiving 1.6k citations
Fred Elisma's Hit Papers
Peers
Comparison fields: 5 of 100
- Spectroscopy 318
- Molecular Biology 866
- Biochemistry 33
- Health, Toxicology and Mutagenesis 67
- Cell Biology 65
Countries citing papers authored by Fred Elisma
This map shows the geographic impact of Fred Elisma'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 Fred Elisma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Elisma more than expected).
Fields of papers citing papers by Fred Elisma
This network shows the impact of papers produced by Fred Elisma. 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 Fred Elisma. The network helps show where Fred Elisma may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred Elisma, 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 | Large‐scale mapping of human protein–protein interactions by mass spectrometry Hit paper breakdown → | 2007 | 806 |
| 2 | 2007 | 168 | |
| 3 | 2010 | 162 | |
| 4 | 2011 | 93 | |
| 5 | 2001 | 62 | |
| 6 | 2010 | 52 | |
| 7 | 2007 | 51 | |
| 8 | 2009 | 41 | |
| 9 | 2008 | 35 | |
| 10 | 2014 | 34 | |
| 11 | 2016 | 32 | |
| 12 | 2010 | 26 | |
| 13 | 2013 | 16 | |
| 14 | 2008 | 15 | |
| 15 | 2011 | 14 | |
| 16 | 2018 | 3 |
About Fred Elisma
Fred Elisma is a scholar working on Spectroscopy, Health, Toxicology and Mutagenesis, Molecular Biology, Nutrition and Dietetics and Hematology, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (8 papers), Cancer-related gene regulation (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Heavy Metal Exposure and Toxicity (1 paper), Trace Elements in Health (1 paper), Cholesterol and Lipid Metabolism (1 paper), Heat shock proteins research (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Spectroscopy (318 citations), Molecular Biology (866 citations), Biochemistry (33 citations), Health, Toxicology and Mutagenesis (67 citations) and Cell Biology (65 citations). Fred Elisma has collaborated with scholars based in Canada, China and Kuwait. Frequent co-authors include Daniel Figeys, Mohamed Abu‐Farha, Hu Zhou, Jean‐Philippe Lambert, Catherine Jumarie, Ilona Sylvia Skerjanc, Ashraf Said Al Madhoun, Steffany A. L. Bennett, Weimin Hou and Alexandre P. Blanchard. Their work appears in journals such as Journal of Proteome Research, Analytical Chemistry, Molecular & Cellular Proteomics, Advances in biochemical engineering, biotechnology and Mass Spectrometry Reviews.
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.