Tristan Cardon

674 citations
27 papers · 447 indexed · h-index 13
  • Spectroscopy top 10%
    • Advanced Proteomics Techniques and Applications 10
    • Mass Spectrometry Techniques and Applications 3
    • RNA and protein synthesis mechanisms 7
    • RNA Research and Splicing 6
    • Metabolomics and Mass Spectrometry Studies 3
    • Machine Learning in Bioinformatics 2
    • Mitochondrial Function and Pathology 2
    • Neuroinflammation and Neurodegeneration Mechanisms 2

Tristan Cardon

25 papers receiving 446 citations

Peers

Tristan Cardon
Comparison fields: 5 of 73
  • Structural Biology 13
  • Spectroscopy 119
  • Cancer Research 81
  • Molecular Biology 320
  • Neurology 29
Replace Soulaimane Aboulouard with:
Soulaimane Aboulouard France
Dylan M. Marchione United States
Thomas Breslin Sweden
Sungwon Bae South Korea
Shih-Ya Wang United States
Llewellyn E. Jalbert United States
Mia Niklasson Sweden
Raphael Heilig United Kingdom
Ravindra Varma Polisetty India
Maddalena M. Bolognesi Italy
Tristan Cardon relative to Soulaimane Aboulouard France Soulaimane Aboulouard's profile →
Citations per field
00.5×3.4×
Soulaimane Aboulouard · 1×
Citations per year

Countries citing papers authored by Tristan Cardon

Since Specialization
Citations

This map shows the geographic impact of Tristan Cardon'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 Tristan Cardon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tristan Cardon more than expected).

Fields of papers citing papers by Tristan Cardon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tristan Cardon. 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 Tristan Cardon. The network helps show where Tristan Cardon may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Tristan Cardon, 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 Tristan Cardon Line = papers co-authored together Tristan Cardon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20238
5 20234
6 20238
7 20234
8 202236
9 20227
10 202119
11 20216
12 20218
13 202130
14 202016
15 20202
16 201918
17 201923
18 201924
19 201877
20 201624

About Tristan Cardon

Tristan Cardon is a scholar working on Structural Biology, Spectroscopy and Molecular Biology, having authored 27 papers that have together received 447 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (10 papers), RNA and protein synthesis mechanisms (7 papers), RNA Research and Splicing (6 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Machine Learning in Bioinformatics (2 papers), Mitochondrial Function and Pathology (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Structural Biology (13 citations), Spectroscopy (119 citations) and Cancer Research (81 citations). Tristan Cardon has collaborated with scholars based in France, Lebanon and Italy. Frequent co-authors include Michel Salzet, Isabelle Fournier, Julien Franck, Soulaimane Aboulouard, Firas Kobeissy, Daniele Vergara, Michele Maffia, Marie Duhamel, Maxence Wisztorski and Jusal Quanico. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Analytical Chemistry.

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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