da Fonseca

2.7k total citations
41 papers, 2.1k citations indexed

About

da Fonseca is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, da Fonseca has authored 41 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Cell Biology. Recurrent topics in da Fonseca's work include Ubiquitin and proteasome pathways (16 papers), Glycosylation and Glycoproteins Research (6 papers) and Ion channel regulation and function (5 papers) da Fonseca is often cited by papers focused on Ubiquitin and proteasome pathways (16 papers), Glycosylation and Glycoproteins Research (6 papers) and Ion channel regulation and function (5 papers) da Fonseca collaborates with scholars based in United Kingdom, United States and Germany da Fonseca's co-authors include Edward P. Morris, Jun He, Colin W. Taylor, David Barford, Anne Schreiber, Ziguo Zhang, Eric H. Kong, Ana Toste Rêgo, Radoslav I. Enchev and Matthew Bogyo and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

da Fonseca

40 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
da Fonseca United Kingdom 22 1.6k 527 362 248 173 41 2.1k
Alexander Fish Netherlands 27 1.5k 0.9× 306 0.6× 328 0.9× 147 0.6× 164 0.9× 43 1.9k
Veronika Csizmók Canada 17 2.9k 1.8× 397 0.8× 203 0.6× 169 0.7× 149 0.9× 26 3.4k
Maureen A. Powers United States 30 2.6k 1.6× 379 0.7× 197 0.5× 117 0.5× 239 1.4× 52 3.0k
Gwénaël Rabut France 20 2.3k 1.4× 716 1.4× 223 0.6× 219 0.9× 296 1.7× 28 2.9k
Arvin C. Dar United States 18 1.7k 1.0× 606 1.1× 284 0.8× 219 0.9× 292 1.7× 29 2.4k
Paul Ko Ferrigno United Kingdom 28 1.9k 1.2× 314 0.6× 194 0.5× 161 0.6× 186 1.1× 42 2.4k
Terrence D. Mulhern Australia 28 1.3k 0.8× 252 0.5× 214 0.6× 114 0.5× 167 1.0× 51 1.8k
Roman Sakowicz United States 28 1.9k 1.2× 1.6k 3.1× 295 0.8× 196 0.8× 156 0.9× 54 3.1k
Ilana Berlin Netherlands 24 1.5k 0.9× 643 1.2× 360 1.0× 380 1.5× 257 1.5× 33 2.3k
Karen Colwill Canada 22 2.3k 1.4× 572 1.1× 281 0.8× 133 0.5× 244 1.4× 55 2.9k

Countries citing papers authored by da Fonseca

Since Specialization
Citations

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

Fields of papers citing papers by da Fonseca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of da Fonseca

This figure shows the co-authorship network connecting the top 25 collaborators of da Fonseca. A scholar is included among the top collaborators of da Fonseca 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 da Fonseca. da Fonseca 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.
Menneteau, Thomas, Christine Kervarrec, Ana Toste Rêgo, et al.. (2022). Proteasome complexes experience profound structural and functional rearrangements throughout mammalian spermatogenesis. Proceedings of the National Academy of Sciences. 119(15). e2116826119–e2116826119. 13 indexed citations
2.
Fonseca, da, et al.. (2019). The association of the fat mass and obesity-associated gene (FTO) rs9939609 polymorphism and the severe obesity in a Brazilian population. SHILAP Revista de lepidopterología. 1 indexed citations
3.
Rêgo, Ana Toste & da Fonseca. (2019). Characterization of Fully Recombinant Human 20S and 20S-PA200 Proteasome Complexes. Molecular Cell. 76(1). 138–147.e5. 72 indexed citations
4.
Li, Hao, Anthony J. O’Donoghue, Wouter A. van der Linden, et al.. (2016). Structure- and function-based design of Plasmodium-selective proteasome inhibitors. Nature. 530(7589). 233–236. 171 indexed citations
5.
Fonseca, da & Edward P. Morris. (2015). Cryo-EM reveals the conformation of a substrate analogue in the human 20S proteasome core. Nature Communications. 6(1). 7573–7573. 39 indexed citations
6.
He, Jun, Kiran Kulkarni, da Fonseca, et al.. (2012). The Structure of the 26S Proteasome Subunit Rpn2 Reveals Its PC Repeat Domain as a Closed Toroid of Two Concentric α-Helical Rings. Structure. 20(3). 513–521. 52 indexed citations
7.
Enchev, Radoslav I., Daniel C. Scott, da Fonseca, et al.. (2012). Structural Basis for a Reciprocal Regulation between SCF and CSN. Cell Reports. 2(3). 616–627. 124 indexed citations
8.
Fonseca, da, Jun He, & Edward P. Morris. (2012). Molecular Model of the Human 26S Proteasome. Molecular Cell. 46(1). 54–66. 177 indexed citations
9.
Morris, Edward P., Ángel Rivera-Calzada, da Fonseca, et al.. (2011). Evidence for a remodelling of DNA-PK upon autophosphorylation from electron microscopy studies. Nucleic Acids Research. 39(13). 5757–5767. 16 indexed citations
10.
Schreiber, Anne, Florian Stengel, Ziguo Zhang, et al.. (2011). Structural basis for the subunit assembly of the anaphase-promoting complex. Nature. 470(7333). 227–232. 137 indexed citations
11.
Hodgkinson, Julie L., Martha N. Simon, Steven Johnson, et al.. (2009). Three-dimensional reconstruction of the Shigella T3SS transmembrane regions reveals 12-fold symmetry and novel features throughout. Nature Structural & Molecular Biology. 16(5). 477–485. 94 indexed citations
12.
Fonseca, da & Edward P. Morris. (2008). Structure of the Human 26S Proteasome. Journal of Biological Chemistry. 283(34). 23305–23314. 80 indexed citations
13.
Wise, Emma L., et al.. (2007). Small Molecule Receptor Agonists and Antagonists of CCR3 Provide Insight into Mechanisms of Chemokine Receptor Activation. Journal of Biological Chemistry. 282(38). 27935–27943. 46 indexed citations
14.
Schug, Zachary T., da Fonseca, Cunnigaiper D. Bhanumathy, et al.. (2007). Molecular Characterization of the Inositol 1,4,5-Trisphosphate Receptor Pore-forming Segment. Journal of Biological Chemistry. 283(5). 2939–2948. 47 indexed citations
15.
Taylor, Colin W., da Fonseca, & Edward P. Morris. (2004). IP3 receptors: the search for structure. Trends in Biochemical Sciences. 29(4). 210–219. 126 indexed citations
16.
Fonseca, da, et al.. (2004). Site-directed Mutagenesis of CC Chemokine Receptor 1 Reveals the Mechanism of Action of UCB 35625, a Small Molecule Chemokine Receptor Antagonist. Journal of Biological Chemistry. 280(6). 4808–4816. 58 indexed citations
17.
Fonseca, da, Stephen Morris, Edmund P. Nerou, Colin W. Taylor, & Edward P. Morris. (2003). Domain organization of the type 1 inositol 1,4,5-trisphosphate receptor as revealed by single-particle analysis. Proceedings of the National Academy of Sciences. 100(7). 3936–3941. 72 indexed citations
18.
Barber, James, Edward P. Morris, & da Fonseca. (2003). Interaction of the allophycocyanin core complex with photosystem II. Photochemical & Photobiological Sciences. 2(5). 536–541. 31 indexed citations
19.
Fonseca, da, et al.. (1991). The effect of trimethoprim on sodium transport across the frog skin epithelium. European Journal of Pharmacology Molecular Pharmacology. 207(4). 337–343. 14 indexed citations
20.
Fonseca, da. (1959). [Notes on acarology. XLVI. Zooparasitic acarofauna in Bolivia].. PubMed. 29. 89–141. 1 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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