Frédéric Nikitin
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
Papers in
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- Genomics and Phylogenetic Studies 4
- Metabolomics and Mass Spectrometry Studies 4
- Machine Learning in Bioinformatics 3
- RNA and protein synthesis mechanisms 2
- Ubiquitin and proteasome pathways 2
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- Advanced Proteomics Techniques and Applications 8
- Mass Spectrometry Techniques and Applications 6
- Co-authors
- Frédérique Lisacek (11 shared papers)Markus Müller (7 shared papers)Daniel Teixeira (2 shared papers)Pierre-André Michel (2 shared papers)Valentine Rech de Laval (2 shared papers)Alain Gateau (2 shared papers)Monique Zahn‐Zabal (2 shared papers)Pascale Gaudet (2 shared papers)
- Journals
- Journal of Proteomics (2 papers)PROTEOMICS (2 papers)Nucleic Acids Research (2 papers)Journal of the American Society for Mass Spectrometry (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- SwitzerlandUnited StatesJapan
In The Last Decade
Frédéric Nikitin
13 papers receiving 484 citations
Peers
Comparison fields: 5 of 79
- Spectroscopy 215
- Molecular Biology 387
- Cancer Research 22
- Genetics 35
- Biological Psychiatry 3
Countries citing papers authored by Frédéric Nikitin
This map shows the geographic impact of Frédéric Nikitin'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 Frédéric Nikitin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Nikitin more than expected).
Fields of papers citing papers by Frédéric Nikitin
This network shows the impact of papers produced by Frédéric Nikitin. 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 Frédéric Nikitin. The network helps show where Frédéric Nikitin may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Nikitin, 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 | 2019 | 140 | |
| 2 | 2016 | 122 | |
| 3 | 2012 | 59 | |
| 4 | 2011 | 44 | |
| 5 | 2015 | 38 | |
| 6 | 2015 | 24 | |
| 7 | 2011 | 19 | |
| 8 | 2013 | 15 | |
| 9 | Using protein motif combinations to update KEGG pathway maps and orthologue tables. | 2004 | 7 |
| 10 | 2017 | 6 | |
| 11 | 2003 | 6 | |
| 12 | 2004 | 5 | |
| 13 | 2003 | 3 |
About Frédéric Nikitin
Frédéric Nikitin is a scholar working on Molecular Biology, Spectroscopy, Oncology, Pathology and Forensic Medicine and Genetics, having authored 13 papers that have together received 488 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (6 papers), Genomics and Phylogenetic Studies (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Machine Learning in Bioinformatics (3 papers), RNA and protein synthesis mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Spectroscopy (215 citations), Molecular Biology (387 citations), Cancer Research (22 citations), Genetics (35 citations) and Biological Psychiatry (3 citations). Frédéric Nikitin has collaborated with scholars based in Switzerland, United States and Japan. Frequent co-authors include Frédérique Lisacek, Markus Müller, Daniel Teixeira, Pierre-André Michel, Valentine Rech de Laval, Alain Gateau, Monique Zahn‐Zabal, Pascale Gaudet, Lydie Lane and Paula Duek. Their work appears in journals such as Journal of Proteomics, PROTEOMICS, Nucleic Acids Research, Journal of the American Society for Mass Spectrometry and Journal of Proteome Research.
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.