Igor Sinelnikov
Impact in
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies
- Gut microbiota and health
- Biological Psychiatry top 10%
Papers in
-
- Metabolomics and Mass Spectrometry Studies 3
- Protein Structure and Dynamics 2
- Plant Gene Expression Analysis 1
- DNA and Nucleic Acid Chemistry 1
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- Mass Spectrometry Techniques and Applications 4
- Advanced Proteomics Techniques and Applications 1
- Co-authors
- David S. Wishart (4 shared papers)Jianguo Xia (3 shared papers)Elena N. Kitova (4 shared papers)John S. Klassen (4 shared papers)Michael Wilson (1 shared paper)Xiaoyu Hu (1 shared paper)Russell Greiner (1 shared paper)Siamak Ravanbakhsh (1 shared paper)
- Journals
- Journal of the American Society for Mass Spectrometry (2 papers)International Journal of Mass Spectrometry (1 paper)PLoS ONE (1 paper)Nucleic Acids Research (1 paper)Plant Science (1 paper)
- Partner nations
- CanadaItalyUnited States
In The Last Decade
Igor Sinelnikov
8 papers receiving 2.6k citations
Igor Sinelnikov's Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 1.5k
- Biological Psychiatry 47
- Spectroscopy 225
- Complementary and alternative medicine 100
- Biochemistry 74
Countries citing papers authored by Igor Sinelnikov
This map shows the geographic impact of Igor Sinelnikov'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 Igor Sinelnikov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Sinelnikov more than expected).
Fields of papers citing papers by Igor Sinelnikov
This network shows the impact of papers produced by Igor Sinelnikov. 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 Igor Sinelnikov. The network helps show where Igor Sinelnikov may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Sinelnikov, 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 | MetaboAnalyst 3.0—making metabolomics more meaningful Hit paper breakdown → | 2015 | 2276 |
| 2 | 2015 | 225 | |
| 3 | 2011 | 50 | |
| 4 | 2007 | 45 | |
| 5 | 2009 | 18 | |
| 6 | 2012 | 11 | |
| 7 | 2007 | 5 | |
| 8 | 2012 | 5 | |
| 9 | 2021 | 0 |
About Igor Sinelnikov
Igor Sinelnikov is a scholar working on Molecular Biology, Spectroscopy, Materials Chemistry, Biomedical Engineering and Sociology and Political Science, having authored 9 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (4 papers), Enzyme Structure and Function (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Protein Structure and Dynamics (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Plant Gene Expression Analysis (1 paper), DNA and Nucleic Acid Chemistry (1 paper) and Traditional Chinese Medicine Studies (1 paper). The work is most often cited by research in Molecular Biology (1.5k citations), Biological Psychiatry (47 citations), Spectroscopy (225 citations), Complementary and alternative medicine (100 citations) and Biochemistry (74 citations). Igor Sinelnikov has collaborated with scholars based in Canada, Italy and United States. Frequent co-authors include David S. Wishart, Jianguo Xia, Elena N. Kitova, John S. Klassen, Michael Wilson, Xiaoyu Hu, Russell Greiner, Siamak Ravanbakhsh, Rupasri Mandal and Roman Eisner. Their work appears in journals such as Journal of the American Society for Mass Spectrometry, International Journal of Mass Spectrometry, PLoS ONE, Nucleic Acids Research and Plant Science.
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.