Kévin Lebrigand
- Molecular Biology top 5%
- Cancer Research top 1%
- Immunology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Epidemiology top 10%
- Co-authors
- Pascal BarbryBernard MariVirginie MagnoneThomas MaurinBruno CardinaudRainer WaldmannPaul HofmanAgnès Paquet
- Topics
- MicroRNA in disease regulation (10 papers)Single-cell and spatial transcriptomics (9 papers)Cancer-related molecular mechanisms research (6 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Kévin Lebrigand
48 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.9k
- Cancer Research 1.1k
- Immunology 491
- Pulmonary and Respiratory Medicine 406
- Epidemiology 336
Countries citing papers authored by Kévin Lebrigand
This map shows the geographic impact of Kévin Lebrigand'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 Kévin Lebrigand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kévin Lebrigand more than expected).
Fields of papers citing papers by Kévin Lebrigand
This network shows the impact of papers produced by Kévin Lebrigand. 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 Kévin Lebrigand. The network helps show where Kévin Lebrigand may publish in the future.
Co-authorship network of co-authors of Kévin Lebrigand
This figure shows the co-authorship network connecting the top 25 collaborators of Kévin Lebrigand. A scholar is included among the top collaborators of Kévin Lebrigand based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kévin Lebrigand. Kévin Lebrigand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 35 | |
| 7 | 2 | |
| 8 | 59 | |
| 9 | A Single-Cell Atlas of the Human Healthy Airwaysbreakdown → | 255 |
| 10 | 124 | |
| 11 | 23 | |
| 12 | 18 | |
| 13 | 6 | |
| 14 | 32 | |
| 15 | 28 | |
| 16 | 59 | |
| 17 | 110 | |
| 18 | 348 | |
| 19 | 67 | |
| 20 | Suppression of MicroRNA-Silencing Pathway by HIV-1 During Virus Replicationbreakdown → | 516 |
About Kévin Lebrigand
Kévin Lebrigand is a scholar working on Cancer Research, Aging and Developmental Neuroscience, having authored 51 papers that have together received 3.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Single-cell and spatial transcriptomics (9 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Cancer Research (1.1k citations), Virology (180 citations) and Molecular Biology (1.9k citations). Kévin Lebrigand has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Pascal Barbry, Bernard Mari, Virginie Magnone, Thomas Maurin, Bruno Cardinaud, Rainer Waldmann, Paul Hofman, Agnès Paquet, Laure‐Emmanuelle Zaragosi and Marie-Pierre Puisségur. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids 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.