Vanna Géromel

24 total papers · 1.1k total citations
13 papers, 810 citations indexed

About

Vanna Géromel is a scholar working on Molecular Biology, Physiology and Biochemistry. According to data from OpenAlex, Vanna Géromel has authored 13 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Physiology and 2 papers in Biochemistry. Recurrent topics in Vanna Géromel's work include Mitochondrial Function and Pathology (5 papers), Coenzyme Q10 studies and effects (5 papers) and Advanced battery technologies research (2 papers). Vanna Géromel is often cited by papers focused on Mitochondrial Function and Pathology (5 papers), Coenzyme Q10 studies and effects (5 papers) and Advanced battery technologies research (2 papers). Vanna Géromel collaborates with scholars based in France, Sweden and Poland. Vanna Géromel's co-authors include Pierre Rustin, Agnès Rötig, Arnold Münnich, Dominique Chrétien, Noman Kadhom, Patrick Edery, Lars Ernster, Eeva‐Liisa Appelkvist, Gustav Dallner and Pascale Delonlay and has published in prestigious journals such as The Lancet, Blood and Scientific Reports.

In The Last Decade

Vanna Géromel

12 papers receiving 783 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Vanna Géromel	706	162	153	133	69	13	810
Mara Doimo	839 1.2×	274 1.7×	268 1.8×	119 0.9×	32 0.5×	25	937
Annapurna Chalasani	585 0.8×	83 0.5×	88 0.6×	99 0.7×	85 1.2×	13	775
Gloria Brea‐Calvo	882 1.2×	209 1.3×	204 1.3×	97 0.7×	97 1.4×	30	1.0k
Marleen Forkink	633 0.9×	28 0.2×	53 0.3×	159 1.2×	107 1.6×	15	970
Jeffrey S. Monette	541 0.8×	37 0.2×	91 0.6×	67 0.5×	182 2.6×	7	953
H A Lardy	625 0.9×	54 0.3×	51 0.3×	101 0.8×	71 1.0×	11	780
Suleva Povea-Cabello	466 0.7×	37 0.2×	50 0.3×	97 0.7×	85 1.2×	29	704
Alessio Tempestini	592 0.8×	63 0.4×	46 0.3×	24 0.2×	90 1.3×	16	932
Celien Lismont	750 1.1×	47 0.3×	69 0.5×	63 0.5×	150 2.2×	27	978
Jordi Asin-Cayuela	835 1.2×	24 0.1×	70 0.5×	164 1.2×	236 3.4×	8	1.0k

Countries citing papers authored by Vanna Géromel

Since Specialization

Citations

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

Fields of papers citing papers by Vanna Géromel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanna Géromel

This figure shows the co-authorship network connecting the top 25 collaborators of Vanna Géromel. A scholar is included among the top collaborators of Vanna Géromel 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 Vanna Géromel. Vanna Géromel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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