Daniel Lafitte
Impact in
- Spectroscopy top 2%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Molecular Biology top 5%
- Redox biology and oxidative stress
- Protein Structure and Dynamics
- Heat shock proteins research
- S100 Proteins and Annexins
Papers in
- Spectroscopy 15
- Mass Spectrometry Techniques and Applications 12
- Advanced Proteomics Techniques and Applications 3
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- Microtubule and mitosis dynamics 8
- Co-authors
- Claudette M. Briand (9 shared papers)Claude Villard (17 shared papers)Alexander А. Makarov (9 shared papers)Peter J. Derrick (7 shared papers)Robert M. Gilli (4 shared papers)Frédéric Barras (3 shared papers)Jennifer K. Mitchell (2 shared papers)Benjamin Ezraty (2 shared papers)
- Journals
- Journal of Biological Chemistry (9 papers)Biochemistry (6 papers)Analytical Chemistry (4 papers)PROTEOMICS (3 papers)Journal of Proteomics (3 papers)
- Partner nations
- FranceUnited KingdomRussia
In The Last Decade
Daniel Lafitte
61 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 110
- Spectroscopy 379
- Molecular Biology 1.2k
- Molecular Medicine 100
- Cell Biology 135
- Genetics 215
Countries citing papers authored by Daniel Lafitte
This map shows the geographic impact of Daniel Lafitte'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 Daniel Lafitte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lafitte more than expected).
Fields of papers citing papers by Daniel Lafitte
This network shows the impact of papers produced by Daniel Lafitte. 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 Daniel Lafitte. The network helps show where Daniel Lafitte may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Lafitte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 316 | |
| 2 | 2002 | 277 | |
| 3 | 2009 | 197 | |
| 4 | 2014 | 158 | |
| 5 | 2008 | 134 | |
| 6 | 2002 | 122 | |
| 7 | 1998 | 108 | |
| 8 | 1997 | 97 | |
| 9 | 2005 | 80 | |
| 10 | 2002 | 64 | |
| 11 | 2008 | 64 | |
| 12 | 2006 | 60 | |
| 13 | 1999 | 59 | |
| 14 | 2010 | 58 | |
| 15 | 2000 | 55 | |
| 16 | 2011 | 54 | |
| 17 | 2001 | 52 | |
| 18 | 2003 | 52 | |
| 19 | 1995 | 51 | |
| 20 | 2009 | 46 |
About Daniel Lafitte
Daniel Lafitte is a scholar working on Spectroscopy, Cell Biology, Molecular Biology, Toxicology and Physical and Theoretical Chemistry, having authored 61 papers that have together received 2.9k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (12 papers), Microtubule and mitosis dynamics (8 papers), S100 Proteins and Annexins (5 papers), Protein Structure and Dynamics (5 papers), Forensic Toxicology and Drug Analysis (4 papers), Heat shock proteins research (3 papers), thermodynamics and calorimetric analyses (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). The work is most often cited by research in Spectroscopy (379 citations), Molecular Biology (1.2k citations), Molecular Medicine (100 citations), Cell Biology (135 citations) and Genetics (215 citations). Daniel Lafitte has collaborated with scholars based in France, United Kingdom and Russia. Frequent co-authors include Claudette M. Briand, Claude Villard, Alexander А. Makarov, Peter J. Derrick, Robert M. Gilli, Frédéric Barras, Jennifer K. Mitchell, Benjamin Ezraty, Jacques Haiech and Régis Grimaud. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Analytical Chemistry, PROTEOMICS and Journal of Proteomics.
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.