I. Felletar

6.9k citations
8 papers · 1.9k indexed · 1 hit paper · h-index 8
Topics
Protein Degradation and Inhibitors (5 papers)Multiple Myeloma Research and Treatments (3 papers)Ubiquitin and proteasome pathways (2 papers)

In The Last Decade

I. Felletar

8 papers receiving 1.9k citations

Hit Papers

Histone Recognition and Large-Scale Structural Analysis o...201220262016202120124008001.2k

Peers

I. Felletar
Comparison fields: 5 of 78
  • Molecular Biology 1.8k
  • Hematology 689
  • Oncology 267
  • Virology 92
  • Organic Chemistry 77
Replace Tracy Keates with:
Tracy Keates United Kingdom
Maria Mangos Canada
Edwige Nicodème France
Octovia Monteiro United Kingdom
Deborah H. Brotherton United Kingdom
Michael Pranpat United States
Stephanie Blencke Germany
Kathy Rocha United States
Zhixiang He United States
Sandhya Kumaraswamy United States
I. Felletar relative to Tracy Keates United Kingdom Tracy Keates's profile →
Citations per field
00.5×1.5×
Tracy Keates · 1×
Citations per year

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
#WorkIndexed citations
1 16
2 8
3 46
4 71
5 360
6 73
7
Histone Recognition and Large-Scale Structural Analysis of the Human Bromodomain Familybreakdown →
1230
8 107

About I. Felletar

I. Felletar is a scholar working on Hematology, Virology and Neurology, having authored 8 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (5 papers), Multiple Myeloma Research and Treatments (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Hematology (689 citations), Molecular Biology (1.8k citations) and Virology (92 citations). I. Felletar has collaborated with scholars based in United Kingdom, Japan and Canada. Frequent co-authors include Stefan Knapp, P. Filippakopoulos, S. Picaud, Susanne Müller, Tracy Keates, C.H. Arrowsmith, Jean‐Philippe Lambert, Dalia Baršytė-Lovejoy, Tony Pawson and Maria Mangos. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The FASEB Journal.

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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