Geneviève Marcelin
- Physiology top 5%
- Molecular Biology
- Epidemiology top 5%
- Immunology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Karine ClémentEmmanuel L. GautierAdaliene Versiani Matos FerreiraStreamson C. ChuaAna Letícia Malheiros SilveiraLaís Bhering MartinsGary J. SchwartzYoung‐Hwan Jo
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (17 papers)Adipose Tissue and Metabolism (15 papers)Cardiovascular Disease and Adiposity (6 papers)
- Cited by
- PhysiologyAgingImmunology
- Partner nations
- FranceUnited StatesBrazil
In The Last Decade
Geneviève Marcelin
30 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Physiology 686
- Molecular Biology 674
- Epidemiology 663
- Immunology 409
- Cardiology and Cardiovascular Medicine 297
Countries citing papers authored by Geneviève Marcelin
This map shows the geographic impact of Geneviève Marcelin'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 Geneviève Marcelin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geneviève Marcelin more than expected).
Fields of papers citing papers by Geneviève Marcelin
This network shows the impact of papers produced by Geneviève Marcelin. 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 Geneviève Marcelin. The network helps show where Geneviève Marcelin may publish in the future.
Co-authorship network of co-authors of Geneviève Marcelin
This figure shows the co-authorship network connecting the top 25 collaborators of Geneviève Marcelin. A scholar is included among the top collaborators of Geneviève Marcelin 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 Geneviève Marcelin. Geneviève Marcelin 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 | 0 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 15 | |
| 9 | 18 | |
| 10 | 28 | |
| 11 | 8 | |
| 12 | Impaired Kupffer Cell Self-Renewal Alters the Liver Response to Lipid Overload during Non-alcoholic Steatohepatitisbreakdown → | 256 |
| 13 | 193 | |
| 14 | 6 | |
| 15 | 68 | |
| 16 | 196 | |
| 17 | 92 | |
| 18 | 18 | |
| 19 | 135 | |
| 20 | 18 |
About Geneviève Marcelin
Geneviève Marcelin is a scholar working on Endocrine and Autonomic Systems, Physiology and Epidemiology, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (17 papers), Adipose Tissue and Metabolism (15 papers) and Cardiovascular Disease and Adiposity (6 papers). The work is most often cited by research in Physiology (686 citations), Aging (35 citations) and Immunology (409 citations). Geneviève Marcelin has collaborated with scholars based in France, United States and Brazil. Frequent co-authors include Karine Clément, Emmanuel L. Gautier, Adaliene Versiani Matos Ferreira, Streamson C. Chua, Ana Letícia Malheiros Silveira, Laís Bhering Martins, Gary J. Schwartz, Young‐Hwan Jo, Streamson Chua and Clémence Blouet. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Nature Communications.
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.