Daniel Lafitte

3.3k citations
59 papers · 2.8k · h-index 30

Impact in

    • Antibiotic Resistance in Bacteria
    • Redox biology and oxidative stress
    • Protein Structure and Dynamics
    • Heat shock proteins research

Papers in

    • Protein Structure and Dynamics 8
    • Metabolomics and Mass Spectrometry Studies 4
    • Mass Spectrometry Techniques and Applications 17
    • Advanced Proteomics Techniques and Applications 9

Daniel Lafitte

59 papers receiving 2.7k citations

Peers

Daniel Lafitte
Comparison fields: 5 of 134
  • Molecular Medicine 123
  • Molecular Biology 1.6k
  • Spectroscopy 391
  • Toxicology 62
  • Endocrinology 86
Replace K.S. Gajiwala with:
K.S. Gajiwala United States
Xiaodong Wang United States
Tobias Madl Austria
Takayuki Nemoto Japan
Ingebrigt Sylte Norway
Thomas Acton United States
Debra A. Kendall United States
Joel D. A. Tyndall New Zealand
Erin E. Carlson United States
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Citations per field
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K.S. Gajiwala · 1×
Citations per year

Countries citing papers authored by Daniel Lafitte

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Lafitte Line = papers co-authored together Daniel Lafitte links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001313
2 2002268
3 2009195
4 2014148
5 2008133
6 2002119
7 1998108
8 199797
9 200577
10 200264
11 200863
12 199959
13 201057
14 200656
15 201154
16 200053
17 200352
18 200151
19 199551
20 200946

About Daniel Lafitte

Daniel Lafitte is a scholar working on Molecular Biology, Spectroscopy, Materials Chemistry, Cell Biology and Physical and Theoretical Chemistry, having authored 59 papers that have together received 2.8k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (17 papers), Enzyme Structure and Function (10 papers), Advanced Proteomics Techniques and Applications (9 papers), Protein Structure and Dynamics (8 papers), Microtubule and mitosis dynamics (6 papers), thermodynamics and calorimetric analyses (5 papers), Forensic Toxicology and Drug Analysis (4 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Molecular Medicine (123 citations), Molecular Biology (1.6k citations), Spectroscopy (391 citations), Toxicology (62 citations) and Endocrinology (86 citations). Daniel Lafitte has collaborated with scholars based in France, Russia and United Kingdom. Frequent co-authors include Claudette Briand, Claude Villard, Peter J. Derrick, Robert Gilli, Frédéric Barras, Benjamin Ezraty, Jennifer K. Mitchell, Jacques Haiech, R Grimaud and Alexander А. Makarov. 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.

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