Bernard Perbal

9.3k total citations · 1 hit paper
177 papers, 7.0k citations indexed

About

Bernard Perbal is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Bernard Perbal has authored 177 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Molecular Biology, 22 papers in Genetics and 16 papers in Immunology. Recurrent topics in Bernard Perbal's work include Connective Tissue Growth Factor Research (103 papers), Renal and related cancers (16 papers) and RNA and protein synthesis mechanisms (13 papers). Bernard Perbal is often cited by papers focused on Connective Tissue Growth Factor Research (103 papers), Renal and related cancers (16 papers) and RNA and protein synthesis mechanisms (13 papers). Bernard Perbal collaborates with scholars based in France, United States and Canada. Bernard Perbal's co-authors include Herman Yeger, C. Martinerie, Kenneth P. Holbourn, K. Ravi Acharya, Nathalie Planque, M A Baluda, J Crochet, Laure Rittié, Ginette Dambrine and Noureddine Lazar and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Bernard Perbal

172 papers receiving 6.7k citations

Hit Papers

CCN proteins: multifunctional signalling regulators 2004 2026 2011 2018 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernard Perbal France 49 5.9k 945 861 614 371 177 7.0k
David Wotton United States 33 5.5k 0.9× 668 0.7× 907 1.1× 1.2k 1.9× 412 1.1× 72 6.7k
Andrew G. Geiser United States 32 3.1k 0.5× 1.0k 1.1× 772 0.9× 1.3k 2.2× 360 1.0× 47 5.3k
Sonia B. Jakowlew United States 32 3.2k 0.5× 1.1k 1.2× 631 0.7× 1.4k 2.2× 341 0.9× 82 5.6k
Ken–ichi Yamamura Japan 39 3.6k 0.6× 848 0.9× 1.4k 1.6× 592 1.0× 447 1.2× 129 6.4k
Ilona Ormsby United States 18 2.8k 0.5× 1.3k 1.3× 712 0.8× 971 1.6× 319 0.9× 24 4.9k
Hiromu Sugino Japan 40 4.1k 0.7× 508 0.5× 675 0.8× 569 0.9× 137 0.4× 97 5.7k
Tessa Crompton United Kingdom 35 4.2k 0.7× 1.7k 1.8× 675 0.8× 1.6k 2.6× 314 0.8× 85 6.4k
Xiao-Hong Sun United States 30 2.8k 0.5× 1.3k 1.4× 487 0.6× 733 1.2× 214 0.6× 71 5.0k
Mariëlle van Gijn Netherlands 22 2.6k 0.4× 791 0.8× 1.1k 1.3× 1.4k 2.2× 315 0.8× 55 4.3k
Gabriele Proetzel United States 14 2.2k 0.4× 963 1.0× 710 0.8× 686 1.1× 194 0.5× 22 3.7k

Countries citing papers authored by Bernard Perbal

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Perbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Perbal

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Perbal. A scholar is included among the top collaborators of Bernard Perbal 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 Bernard Perbal. Bernard Perbal 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.
Perbal, Bernard & Ralf Weiskirchen. (2024). Association for research on biosignaling and communication first world conference on cellular communication and signaling. Journal of Cell Communication and Signaling. 18(3). e12048–e12048.
2.
Kubota, Satoshi, Harumi Kawaki, Bernard Perbal, et al.. (2021). Cellular communication network factor 3 in cartilage development and maintenance. Journal of Cell Communication and Signaling. 15(4). 533–543. 8 indexed citations
3.
Peñalva, Rosana, Marie Dittmer, Michelle Naughton, et al.. (2020). Dynamic CCN3 expression in the murine CNS does not confer essential roles in myelination or remyelination. Proceedings of the National Academy of Sciences. 117(30). 18018–18028. 22 indexed citations
4.
Naughton, Michelle, Andrew Young, John Falconer, et al.. (2020). CCN3 is dynamically regulated by treatment and disease state in multiple sclerosis. Journal of Neuroinflammation. 17(1). 349–349. 12 indexed citations
6.
Shi, Hong, Vinay Pasupuleti, Xingjian Hu, et al.. (2017). CCN3 Regulates Macrophage Foam Cell Formation and Atherosclerosis. American Journal Of Pathology. 187(6). 1230–1237. 21 indexed citations
7.
Perbal, Bernard, et al.. (2016). The CCN family of proteins: a 25th anniversary picture. Journal of Cell Communication and Signaling. 10(3). 177–190. 18 indexed citations
8.
Perbal, Bernard. (2013). CCN proteins: A centralized communication network. Journal of Cell Communication and Signaling. 7(3). 169–177. 74 indexed citations
9.
McCallum, Lynn, et al.. (2011). CCN3 suppresses mitogenic signalling and reinstates growth control mechanisms in Chronic Myeloid Leukaemia. Journal of Cell Communication and Signaling. 6(1). 27–35. 15 indexed citations
10.
Perbal, Bernard, Monia Zuntini, Diana Zambelli, et al.. (2008). Prognostic Value of CCN3 in Osteosarcoma. Clinical Cancer Research. 14(3). 701–709. 49 indexed citations
11.
Vallacchi, Viviana, Maria Daniotti, Francesca Ratti, et al.. (2008). CCN3/Nephroblastoma Overexpressed Matricellular Protein Regulates Integrin Expression, Adhesion, and Dissemination in Melanoma. Cancer Research. 68(3). 715–723. 49 indexed citations
12.
Fukunaga‐Kalabis, Mizuho, Gabriela Martínez, Zhaojun Liu, et al.. (2006). CCN3 controls 3D spatial localization of melanocytes in the human skin through DDR1. The Journal of Cell Biology. 175(4). 563–569. 83 indexed citations
13.
Gellhaus, Alexandra, Xuesen Dong, Karen Maass, et al.. (2004). Connexin43 Interacts with NOV. Journal of Biological Chemistry. 279(35). 36931–36942. 128 indexed citations
14.
Dambrine, Ginette, et al.. (2003). Deletions within the U3 long terminal repeat alter the tumorigenic potential of myeloblastosis associated virus type 1(N). Virology. 316(1). 84–89. 3 indexed citations
15.
Manara, Maria Cristina, Bernard Perbal, Stefania Benini, et al.. (2002). The Expression of ccn3(nov) Gene in Musculoskeletal Tumors. American Journal Of Pathology. 160(3). 849–859. 94 indexed citations
16.
Su, Bingyin, Wenqin Cai, Chenggang Zhang, & Bernard Perbal. (1998). Expression of nov in spinal cord of vertebrates. 14(4). 237–241. 1 indexed citations
17.
Zhang, Chenggang, et al.. (1998). Immunohistochemical distribution of NOV proto-oncogene protein in the central nervous system of adult rat. Chieh P'ou Hsueh Pao. 29(2). 156–160.
18.
Scholz, Glen M., Cécile Martinerie, Bernard Perbal, & Hidesaburô Hanafusa. (1996). Transcriptional Down Regulation of the nov Proto-Oncogene in Fibroblasts Transformed by p60 v- src . Molecular and Cellular Biology. 16(2). 481–486. 80 indexed citations
19.
Crabeel, M, et al.. (1991). Two c-myb proteins differing by their aminotermini exhibit different transcriptional transactivation activities (yeast/reporter-effector system).. PubMed. 6(1). 11–9. 7 indexed citations
20.
Varlet, Isabelle, et al.. (1991). v-myb Transformation of Xeroderma pigmentosum human fibroblasts: Overexpression of the c-Ha-ras oncogene in the transformed cells. Experimental Cell Research. 196(2). 314–322. 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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