Roméo Ricci

9.3k total citations
48 papers, 5.1k citations indexed

About

Roméo Ricci is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Roméo Ricci has authored 48 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 9 papers in Epidemiology and 9 papers in Cell Biology. Recurrent topics in Roméo Ricci's work include Pancreatic function and diabetes (7 papers), Inflammasome and immune disorders (6 papers) and Calcium signaling and nucleotide metabolism (5 papers). Roméo Ricci is often cited by papers focused on Pancreatic function and diabetes (7 papers), Inflammasome and immune disorders (6 papers) and Calcium signaling and nucleotide metabolism (5 papers). Roméo Ricci collaborates with scholars based in France, Switzerland and Austria. Roméo Ricci's co-authors include Erwin F. Wagner, Jean‐Pierre David, Grzegorz Sumara, Silvia Hayer, G Steiner, Georg Schett, Izabela Sumara, Kurt Redlich, M Tohidast-Akrad and George Kollias and has published in prestigious journals such as Science, Cell and Journal of Clinical Investigation.

In The Last Decade

Roméo Ricci

48 papers receiving 5.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roméo Ricci France 30 3.0k 883 867 731 624 48 5.1k
Susan E. Crawford United States 31 3.7k 1.3× 679 0.8× 832 1.0× 527 0.7× 554 0.9× 92 5.9k
Shigetaka Kitajima Japan 40 2.7k 0.9× 722 0.8× 542 0.6× 338 0.5× 629 1.0× 97 4.3k
Aritoshi Iida Japan 33 2.1k 0.7× 720 0.8× 789 0.9× 643 0.9× 212 0.3× 126 4.5k
Jeffrey A. Medin Canada 40 3.0k 1.0× 1.2k 1.3× 1.2k 1.4× 650 0.9× 449 0.7× 181 5.8k
Nancy R. Webb United States 45 3.0k 1.0× 805 0.9× 760 0.9× 2.1k 2.9× 352 0.6× 103 5.9k
Jeffrey R. Bender United States 45 2.4k 0.8× 1.7k 1.9× 853 1.0× 623 0.9× 477 0.8× 90 6.7k
Qingzhong Xiao United Kingdom 44 3.3k 1.1× 1.1k 1.2× 529 0.6× 882 1.2× 557 0.9× 128 5.9k
Dimitris Kardassis Greece 37 2.7k 0.9× 507 0.6× 997 1.1× 994 1.4× 289 0.5× 122 4.4k
Sushil G. Rane United States 32 2.4k 0.8× 566 0.6× 1.3k 1.5× 713 1.0× 407 0.7× 49 4.5k
Xiao-Hong Sun United States 30 2.8k 0.9× 1.3k 1.4× 733 0.8× 439 0.6× 342 0.5× 71 5.0k

Countries citing papers authored by Roméo Ricci

Since Specialization
Citations

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

Fields of papers citing papers by Roméo Ricci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roméo Ricci

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

All Works

20 of 20 papers shown
1.
Vivot, Kevin, G Mészáros, Zhirong Zhang, et al.. (2023). CaMK1D signalling in AgRP neurons promotes ghrelin-mediated food intake. Nature Metabolism. 5(6). 1045–1058. 11 indexed citations
2.
Ye, Tao, Eric Erbs, Stephan Ehl, et al.. (2023). KCNN4 links PIEZO-dependent mechanotransduction to NLRP3 inflammasome activation. Science Immunology. 8(90). eadf4699–eadf4699. 23 indexed citations
3.
Zhang, Zhirong, Rossella Venditti, Ran Li, et al.. (2022). Distinct changes in endosomal composition promote NLRP3 inflammasome activation. Nature Immunology. 24(1). 30–41. 84 indexed citations
4.
Martínez, Marta, Gema Santamaría Núñez, Juan Ignacio Díaz‐Hernandéz, et al.. (2022). Promoters of ASCL1‐ and NEUROD1‐dependent genes are specific targets of lurbinectedin in SCLC cells. EMBO Molecular Medicine. 14(4). e14841–e14841. 26 indexed citations
5.
Niu, Tingting, Danish Patoli, Marine Groslambert, et al.. (2021). NLRP3 phosphorylation in its LRR domain critically regulates inflammasome assembly. Nature Communications. 12(1). 5862–5862. 81 indexed citations
6.
Benaoudia, Sacha, Amandine Martin, Brice Lagrange, et al.. (2019). A genome‐wide screen identifies IRF2 as a key regulator of caspase‐4 in human cells. EMBO Reports. 20(9). e48235–e48235. 69 indexed citations
7.
Zhang, Zhirong, G Mészáros, Wanting He, et al.. (2017). Protein kinase D at the Golgi controls NLRP3 inflammasome activation. The Journal of Experimental Medicine. 214(9). 2671–2693. 218 indexed citations
8.
Kebede, Adam F, Lara Zorro Shahidian, Stéphanie Le Gras, et al.. (2017). Histone propionylation is a mark of active chromatin. Nature Structural & Molecular Biology. 24(12). 1048–1056. 143 indexed citations
9.
Windak, Renata, Julius Müller, Allison Felley, et al.. (2013). The AP-1 Transcription Factor c-Jun Prevents Stress-Imposed Maladaptive Remodeling of the Heart. PLoS ONE. 8(9). e73294–e73294. 47 indexed citations
10.
Gehart, Helmuth, Alexander Goginashvili, Rainer Beck, et al.. (2012). The BAR Domain Protein Arfaptin-1 Controls Secretory Granule Biogenesis at the trans-Golgi Network. Developmental Cell. 23(4). 756–768. 73 indexed citations
11.
Mihlan, Michael, Alexander Goginashvili, Gerald Grandl, et al.. (2012). Hairless promotes PPARγ expression and is required for white adipogenesis. EMBO Reports. 13(11). 1012–1020. 5 indexed citations
12.
Fuchs, Sebastian, Grzegorz Sumara, Stine Büchmann-Møller, et al.. (2009). Stage-Specific Control of Neural Crest Stem Cell Proliferation by the Small Rho GTPases Cdc42 and Rac1. Cell stem cell. 4(3). 236–247. 84 indexed citations
13.
Sumara, Izabela, Manfredo Quadroni, Claudia Frei, et al.. (2007). A Cul3-Based E3 Ligase Removes Aurora B from Mitotic Chromosomes, Regulating Mitotic Progression and Completion of Cytokinesis in Human Cells. Developmental Cell. 12(6). 887–900. 184 indexed citations
14.
Ricci, Roméo, Urs Eriksson, Gavin Y. Oudit, et al.. (2005). Distinct functions of junD in cardiac hypertrophy and heart failure. Genes & Development. 19(2). 208–213. 39 indexed citations
15.
Yoshimura, Koichi, Hiroki Aoki, Yasuhiro Ikeda, et al.. (2005). Regression of abdominal aortic aneurysm by inhibition of c-Jun N-terminal kinase. Nature Medicine. 11(12). 1330–1338. 340 indexed citations
16.
Wirth, Karin G., Roméo Ricci, Juan F. Giménez-Abián, et al.. (2004). Loss of the anaphase-promoting complex in quiescent cells causes unscheduled hepatocyte proliferation. Genes & Development. 18(1). 88–98. 82 indexed citations
17.
Köller, Marcus, Silvia Hayer, Kurt Redlich, et al.. (2004). JNK1 is not essential for TNF-mediated joint disease. Arthritis Research & Therapy. 7(1). R166–73. 27 indexed citations
18.
Redlich, Kurt, Silvia Hayer, Roméo Ricci, et al.. (2002). Osteoclasts are essential for TNF-α–mediated joint destruction. Journal of Clinical Investigation. 110(10). 1419–1427. 29 indexed citations
19.
Redlich, Kurt, Silvia Hayer, Roméo Ricci, et al.. (2002). Osteoclasts are essential for TNF-α–mediated joint destruction. Journal of Clinical Investigation. 110(10). 1419–1427. 400 indexed citations
20.
Olivetti, G, et al.. (1987). Hyperplasia of myocyte nuclei in long-term cardiac hypertrophy in rats. Journal of Molecular and Cellular Cardiology. 19. S67–S67. 5 indexed citations

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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