I. Felletar

6.9k total citations · 1 hit paper
8 papers, 1.9k citations indexed

About

I. Felletar is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, I. Felletar has authored 8 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Hematology. Recurrent topics in I. Felletar's work include Protein Degradation and Inhibitors (5 papers), Multiple Myeloma Research and Treatments (3 papers) and Ubiquitin and proteasome pathways (2 papers). I. Felletar is often cited by papers focused on Protein Degradation and Inhibitors (5 papers), Multiple Myeloma Research and Treatments (3 papers) and Ubiquitin and proteasome pathways (2 papers). I. Felletar collaborates with scholars based in United Kingdom, South Sudan and Canada. I. Felletar's co-authors include Stefan Knapp, P. Filippakopoulos, S. Picaud, Susanne Müller, Tracy Keates, Anne‐Claude Gingras, Dalia Baršytė-Lovejoy, Rudolf Volkmer, Maria Mangos and Jean‐Philippe Lambert and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The FASEB Journal.

In The Last Decade

I. Felletar

8 papers receiving 1.9k citations

Hit Papers

Histone Recognition and Large-Scale Structural Analysis o... 2012 2026 2016 2021 2012 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. Felletar United Kingdom 8 1.8k 689 267 92 77 8 1.9k
Tracy Keates United Kingdom 7 1.6k 0.9× 496 0.7× 222 0.8× 70 0.8× 72 0.9× 7 1.7k
Maria Mangos Canada 7 1.4k 0.8× 399 0.6× 155 0.6× 60 0.7× 45 0.6× 12 1.5k
Edwige Nicodème France 8 1.2k 0.7× 437 0.6× 207 0.8× 56 0.6× 54 0.7× 11 1.5k
Octovia Monteiro United Kingdom 14 904 0.5× 360 0.5× 205 0.8× 32 0.3× 134 1.7× 15 1.1k
Deborah H. Brotherton United Kingdom 11 998 0.6× 193 0.3× 396 1.5× 35 0.4× 72 0.9× 20 1.2k
Stephanie Blencke Germany 9 706 0.4× 86 0.1× 275 1.0× 27 0.3× 120 1.6× 11 1.1k
Michael Pranpat United States 6 1.1k 0.6× 252 0.4× 251 0.9× 9 0.1× 55 0.7× 11 1.3k
Jing An United States 20 638 0.4× 115 0.2× 600 2.2× 182 2.0× 83 1.1× 61 1.2k
Kathy Rocha United States 7 1.1k 0.6× 368 0.5× 261 1.0× 7 0.1× 55 0.7× 13 1.3k
Mayuko Omori United States 10 883 0.5× 56 0.1× 294 1.1× 84 0.9× 67 0.9× 14 1.2k

Countries citing papers authored by I. Felletar

Since Specialization
Citations

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

Fields of papers citing papers by I. Felletar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Felletar

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

All Works

8 of 8 papers shown
1.
Hatakeyama, Dai, Hiroshi Sunada, Takayuki Watanabe, et al.. (2022). Molecular and functional characterization of an evolutionarily conserved CREB ‐binding protein in the Lymnaea CNS. The FASEB Journal. 36(11). e22593–e22593. 8 indexed citations
2.
Kalmár, Alexandra, Orsolya Galamb, Gábor Valcz, et al.. (2022). Global DNA hypomethylation of colorectal tumours detected in tissue and liquid biopsies may be related to decreased methyl-donor content. BMC Cancer. 22(1). 605–605. 16 indexed citations
3.
Morgan, Rhodri M. L., I. Felletar, Stephen R. Wedge, et al.. (2017). Differential Regulation of G1 CDK Complexes by the Hsp90-Cdc37 Chaperone System. Cell Reports. 21(5). 1386–1398. 46 indexed citations
4.
Ferguson, Fleur M., O. Fedorov, A. Chaikuad, et al.. (2013). Targeting Low-Druggability Bromodomains: Fragment Based Screening and Inhibitor Design against the BAZ2B Bromodomain. Journal of Medicinal Chemistry. 56(24). 10183–10187. 71 indexed citations
5.
Picaud, S., Christopher Wells, I. Felletar, et al.. (2013). RVX-208, an inhibitor of BET transcriptional regulators with selectivity for the second bromodomain. Proceedings of the National Academy of Sciences. 110(49). 19754–19759. 360 indexed citations
6.
Fedorov, O., Hannah Lingard, Christopher Wells, et al.. (2013). [1,2,4]Triazolo[4,3-a]phthalazines: Inhibitors of Diverse Bromodomains. Journal of Medicinal Chemistry. 57(2). 462–476. 73 indexed citations
7.
Filippakopoulos, P., S. Picaud, Maria Mangos, et al.. (2012). Histone Recognition and Large-Scale Structural Analysis of the Human Bromodomain Family. Cell. 149(1). 214–231. 1230 indexed citations breakdown →
8.
Philpott, Martin, Jing Yang, O. Fedorov, et al.. (2011). Bromodomain-peptide displacement assays for interactome mapping and inhibitor discovery. Molecular BioSystems. 7(10). 2899–2908. 107 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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