Ian Robbins

1.3k total citations
34 papers, 998 citations indexed

About

Ian Robbins is a scholar working on Molecular Biology, Global and Planetary Change and Ocean Engineering. According to data from OpenAlex, Ian Robbins has authored 34 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Global and Planetary Change and 5 papers in Ocean Engineering. Recurrent topics in Ian Robbins's work include RNA Interference and Gene Delivery (6 papers), Marine Bivalve and Aquaculture Studies (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Ian Robbins is often cited by papers focused on RNA Interference and Gene Delivery (6 papers), Marine Bivalve and Aquaculture Studies (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Ian Robbins collaborates with scholars based in France, United Kingdom and United States. Ian Robbins's co-authors include Michel Mathieu, Bernard Lebleu, Rosel Kretschmer‐Kazemi Far, Georg Sczakiel, Marc Lemaître, Marita Overhoff, P Lubet, Irina Lassot, Solange Desagher and Maria M. Magiera and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and Journal of Cell Science.

In The Last Decade

Ian Robbins

34 papers receiving 955 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Robbins France 19 444 186 156 125 108 34 998
Glenn A. Miller United States 23 453 1.0× 72 0.4× 73 0.5× 94 0.8× 26 0.2× 58 1.5k
Christopher J. Carbone United States 18 557 1.3× 159 0.9× 55 0.4× 63 0.5× 37 0.3× 24 1.5k
Carol L. Reinisch United States 25 409 0.9× 38 0.2× 297 1.9× 127 1.0× 26 0.2× 67 1.6k
Daniel Corey United States 8 613 1.4× 92 0.5× 129 0.8× 189 1.5× 65 0.6× 16 2.0k
Richard L. Watson United States 14 224 0.5× 189 1.0× 88 0.6× 52 0.4× 18 0.2× 32 852
Fumio Kasai Japan 21 459 1.0× 62 0.3× 34 0.2× 58 0.5× 22 0.2× 50 1.1k
Carlos A. Melo Portugal 13 2.0k 4.6× 66 0.4× 34 0.2× 76 0.6× 22 0.2× 18 2.4k
Dominick DeLuca United States 18 268 0.6× 82 0.4× 23 0.1× 57 0.5× 81 0.8× 52 1.4k
Benyamin Rosental Israel 21 334 0.8× 53 0.3× 99 0.6× 39 0.3× 25 0.2× 54 1.6k

Countries citing papers authored by Ian Robbins

Since Specialization
Citations

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

Fields of papers citing papers by Ian Robbins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Robbins

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Robbins. A scholar is included among the top collaborators of Ian Robbins 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 Ian Robbins. Ian Robbins 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.
Gómez-Vírseda, Carlos, Ian Robbins, Amandine Cournil, et al.. (2023). Predictors of COVID-19 vaccine hesitancy in Chad: A cross-sectional study. Frontiers in Public Health. 10. 1063954–1063954. 3 indexed citations
2.
Mojsa, Barbara, et al.. (2022). Trim39 regulates neuronal apoptosis by acting as a SUMO-targeted E3 ubiquitin-ligase for the transcription factor NFATc3. Cell Death and Differentiation. 29(11). 2107–2122. 7 indexed citations
3.
Magiera, Maria M., et al.. (2012). Trim17-mediated ubiquitination and degradation of Mcl-1 initiate apoptosis in neurons. Cell Death and Differentiation. 20(2). 281–292. 76 indexed citations
4.
Lassot, Irina, Ian Robbins, Mark Kristiansen, et al.. (2010). Trim17, a novel E3 ubiquitin-ligase, initiates neuronal apoptosis. Cell Death and Differentiation. 17(12). 1928–1941. 39 indexed citations
5.
Espert, Lucile, Mihayl Varbanov, Véronique Robert-Hebmann, et al.. (2009). Differential Role of Autophagy in CD4 T Cells and Macrophages during X4 and R5 HIV-1 Infection. PLoS ONE. 4(6). e5787–e5787. 106 indexed citations
6.
Lebleu, Bernard, Ian Robbins, Lionel Bastide, Éric Vivès, & Jay E. Gee. (2007). Pharmacokinetics of Oligonucleotides in Cell Culture. Novartis Foundation symposium. 209. 47–59. 4 indexed citations
7.
Wang, Yangyang, Janne Suominen, Martti Parvinen, et al.. (2005). The regulated expression of c-IAP1 and c-IAP2 during the rat seminiferous epithelial cycle plays a role in the protection of germ cells from Fas-mediated apoptosis. Molecular and Cellular Endocrinology. 245(1-2). 111–120. 11 indexed citations
8.
Overhoff, Marita, Rosel Kretschmer‐Kazemi Far, Marc Lemaître, et al.. (2005). Local RNA Target Structure Influences siRNA Efficacy: A Systematic Global Analysis. Journal of Molecular Biology. 348(4). 871–881. 135 indexed citations
9.
Deleuze, Virginie, Danièle Noël, D. Haouzi, et al.. (2004). The bHLH TAL-1/SCL regulates endothelial cell migration and morphogenesis. Journal of Cell Science. 117(7). 1161–1171. 38 indexed citations
10.
Wang, Yangyang, Janne Suominen, Harri Hakovirta, et al.. (2004). Survivin expression in rat testis is upregulated by stem-cell factor. Molecular and Cellular Endocrinology. 218(1-2). 165–174. 25 indexed citations
11.
Martinand‐Mari, Camille, Bernard Lebleu, & Ian Robbins. (2003). Oligonucleotide-based Strategies to Inhibit Human Hepatitis C Virus. Oligonucleotides. 13(6). 539–548. 18 indexed citations
12.
Salvat, Catherine, Claire Acquaviva, Martin Scheffner, et al.. (2000). Molecular characterization of the thermosensitive E1 ubiquitin‐activating enzyme cell mutant A31N‐ts20. European Journal of Biochemistry. 267(12). 3712–3722. 40 indexed citations
13.
Gee, Jay E., Ian Robbins, Jacques H. van Boom, et al.. (1998). Assessment of High-Affinity Hybridization, RNase H Cleavage, and Covalent Linkage in Translation Arrest by Antisense Oligonucleotides. Antisense and Nucleic Acid Drug Development. 8(2). 103–111. 28 indexed citations
14.
Robbins, Ian, et al.. (1998). Selective mRNA degradation by antisense oligonucleotide-2,5A chimeras: Involvement of RNase H and RNase L. Biochimie. 80(8-9). 711–720. 3 indexed citations
15.
Mehta, Minesh P., William Noyes, John P. Lamond, et al.. (1997). A cost-effectiveness and cost-utility analysis of radiosurgery vs. resection for single-brain metastases. International Journal of Radiation Oncology*Biology*Physics. 39(2). 445–454. 138 indexed citations
16.
Toullec, Jean‐Yves, et al.. (1992). The occurrence and in vitro effects of molecules potentially active in the control of growth in the marine mussel Mytilus edulis L. General and Comparative Endocrinology. 86(3). 424–432. 12 indexed citations
17.
18.
Robbins, Ian, et al.. (1990). A putative neuroendocrine factor that stimulates glycogen mobilization in isolated glycogen cells from the marine mussel Mytilus edulis. General and Comparative Endocrinology. 79(1). 123–129. 24 indexed citations
19.
20.
Mathieu, Michel, et al.. (1988). A gonial mitosis-stimulating factor in cerebral ganglia and hemolymph of the marine mussel Mytilus edulis L. General and Comparative Endocrinology. 72(2). 257–263. 34 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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