Lola Bajard
- Molecular Biology top 5%
- Surgery
- Genetics top 10%
- Health, Toxicology and Mutagenesis top 5%
- Cancer Research top 10%
- Co-authors
- Margaret BuckinghamPhilippe DaubasFrédéric RelaixDidier RocancourtDidier MontarrasJuliette HadchouelTed Hung‐Tse ChangSigolène M. Meilhac
- Topics
- Muscle Physiology and Disorders (9 papers)Toxic Organic Pollutants Impact (7 papers)Developmental Biology and Gene Regulation (4 papers)
- Cited by
- AgingMolecular BiologyGenetics
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryGenes & Development
- Partner nations
- CzechiaFranceUnited Kingdom
In The Last Decade
Lola Bajard
25 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.3k
- Surgery 240
- Genetics 237
- Health, Toxicology and Mutagenesis 195
- Cancer Research 186
Countries citing papers authored by Lola Bajard
This map shows the geographic impact of Lola Bajard'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 Lola Bajard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lola Bajard more than expected).
Fields of papers citing papers by Lola Bajard
This network shows the impact of papers produced by Lola Bajard. 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 Lola Bajard. The network helps show where Lola Bajard may publish in the future.
Co-authorship network of co-authors of Lola Bajard
This figure shows the co-authorship network connecting the top 25 collaborators of Lola Bajard. A scholar is included among the top collaborators of Lola Bajard 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 Lola Bajard. Lola Bajard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 8 | |
| 6 | 51 | |
| 7 | Insights into the molecular targets and emerging pharmacotherapeutic interventions for nonalcoholic fatty liver diseasebreakdown → | 153 |
| 8 | 34 | |
| 9 | 39 | |
| 10 | 62 | |
| 11 | 11 | |
| 12 | 10 | |
| 13 | 53 | |
| 14 | 26 | |
| 15 | 19 | |
| 16 | 61 | |
| 17 | 39 | |
| 18 | 213 | |
| 19 | The formation of skeletal muscle: from somite to limbbreakdown → | 680 |
| 20 | 75 |
About Lola Bajard
Lola Bajard is a scholar working on Health, Toxicology and Mutagenesis, Biochemistry and Cancer Research, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (9 papers), Toxic Organic Pollutants Impact (7 papers) and Developmental Biology and Gene Regulation (4 papers). The work is most often cited by research in Aging (40 citations), Molecular Biology (1.3k citations) and Genetics (153 citations). Lola Bajard has collaborated with scholars based in Czechia, France and United Kingdom. Frequent co-authors include Margaret Buckingham, Philippe Daubas, Frédéric Relaix, Didier Rocancourt, Didier Montarras, Juliette Hadchouel, Ted Hung‐Tse Chang, Sigolène M. Meilhac, Chander K. Negi and Mounia Lagha. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.
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.