Fabiola V. Rivas

4.9k total citations · 3 hit papers
15 papers, 3.8k citations indexed

About

Fabiola V. Rivas is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Fabiola V. Rivas has authored 15 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Oncology. Recurrent topics in Fabiola V. Rivas's work include RNA Research and Splicing (5 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Fabiola V. Rivas is often cited by papers focused on RNA Research and Splicing (5 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Fabiola V. Rivas collaborates with scholars based in United States, India and Switzerland. Fabiola V. Rivas's co-authors include Gregory J. Hannon, Jidong Liu, Ji‐Joon Song, Leemor Joshua‐Tor, Carolyn G. Marsden, J. Michael Thomson, Michelle A. Carmell, Scott M. Hammond, John R. Yates and James A. Wohlschlegel and has published in prestigious journals such as Science, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Fabiola V. Rivas

15 papers receiving 3.7k citations

Hit Papers

Argonaute2 Is the Catalytic Engine of Mammalian RNAi 2004 2026 2011 2018 2004 2005 2005 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Argonaute2 Is the Catalytic Engine of Mammalian RNAi
    2004 2.1k citations Jidong Liu, Michelle A. Carmell et al. Science profile →
  2. Purified Argonaute2 and an siRNA form recombinant human RISC
    2005 568 citations Fabiola V. Rivas, Niraj H. Tolia et al. Nature Structural & Molecular Biology profile →
  3. A role for the P-body component GW182 in microRNA function
    2005 524 citations Jidong Liu, Fabiola V. Rivas et al. Nature Cell Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabiola V. Rivas United States 11 3.3k 1.7k 493 336 220 15 3.8k
Sihem Cheloufi United States 16 4.0k 1.2× 2.1k 1.3× 502 1.0× 293 0.9× 251 1.1× 24 4.5k
Ahmet M. Denli United States 14 3.5k 1.1× 2.0k 1.2× 964 2.0× 288 0.9× 295 1.3× 16 4.3k
Stefan L. Ameres Austria 23 3.9k 1.2× 1.9k 1.2× 515 1.0× 228 0.7× 308 1.4× 40 4.5k
Łukasz Jaśkiewicz Switzerland 15 2.8k 0.8× 1.5k 0.9× 378 0.8× 200 0.6× 185 0.8× 32 3.2k
Isabelle Behm‐Ansmant France 24 3.9k 1.2× 1.2k 0.7× 267 0.5× 187 0.6× 176 0.8× 41 4.2k
Grace Teng United States 14 3.6k 1.1× 1.3k 0.8× 1.0k 2.1× 607 1.8× 303 1.4× 16 4.4k
Petr Svoboda Czechia 36 4.5k 1.4× 1.1k 0.7× 681 1.4× 359 1.1× 794 3.6× 89 5.1k
Soraya Yekta United States 7 3.4k 1.0× 2.9k 1.8× 453 0.9× 186 0.6× 189 0.9× 7 4.0k
Susan Parrish United States 10 3.6k 1.1× 1.1k 0.7× 880 1.8× 238 0.7× 477 2.2× 13 4.5k

Countries citing papers authored by Fabiola V. Rivas

Since Specialization
Citations

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

Fields of papers citing papers by Fabiola V. Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabiola V. Rivas. 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 Fabiola V. Rivas. The network helps show where Fabiola V. Rivas may publish in the future.

Co-authorship network of co-authors of Fabiola V. Rivas

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

All Works

15 of 15 papers shown
1.
Rivas, Fabiola V.. (2010). In this Issue: Inflammation.. PubMed. 140(6). 755,757–755,757. 10 indexed citations
2.
Praveen, Kesavannair, Yan Zheng, Fabiola V. Rivas, & Thomas F. Gajewski. (2009). Protein Kinase Cθ Focusing at the cSMAC Is a Consequence rather than Cause of TCR Signaling and Is Dependent on the MEK/ERK Pathway. The Journal of Immunology. 182(10). 6022–6030. 2 indexed citations
3.
Fabian, Marc R., Géraldine Mathonnet, Thomas R. Sundermeier, et al.. (2009). Mammalian miRNA RISC Recruits CAF1 and PABP to Affect PABP-Dependent Deadenylation. Molecular Cell. 35(6). 868–880. 305 indexed citations
4.
Hannon, Gregory J., Fabiola V. Rivas, Elizabeth P. Murchison, & Joan A. Steitz. (2006). The Expanding Universe of Noncoding RNAs. Cold Spring Harbor Symposia on Quantitative Biology. 71(0). 551–564. 65 indexed citations
5.
Liu, Jidong, Fabiola V. Rivas, James A. Wohlschlegel, et al.. (2005). A role for the P-body component GW182 in microRNA function. Nature Cell Biology. 7(12). 1261–1266. 524 indexed citations breakdown →
6.
Rivas, Fabiola V., Niraj H. Tolia, Ji‐Joon Song, et al.. (2005). Purified Argonaute2 and an siRNA form recombinant human RISC. Nature Structural & Molecular Biology. 12(4). 340–349. 568 indexed citations breakdown →
7.
Liu, Jidong, Michelle A. Carmell, Fabiola V. Rivas, et al.. (2004). Argonaute2 Is the Catalytic Engine of Mammalian RNAi. Science. 305(5689). 1437–1441. 2053 indexed citations breakdown →
8.
Silva, José, Kenneth Chang, Gregory J. Hannon, & Fabiola V. Rivas. (2004). RNA-interference-based functional genomics in mammalian cells: reverse genetics coming of age. Oncogene. 23(51). 8401–8409. 85 indexed citations
9.
Rivas, Fabiola V., James P. O’Keefe, Maria‐Luisa Alegre, & Thomas F. Gajewski. (2004). Actin Cytoskeleton Regulates Calcium Dynamics and NFAT Nuclear Duration. Molecular and Cellular Biology. 24(4). 1628–1639. 61 indexed citations
10.
Marks, Reinhard, et al.. (2003). Differential Ras signaling via the antigen receptor and IL-2 receptor in primary T lymphocytes. Biochemical and Biophysical Research Communications. 312(3). 691–696. 13 indexed citations
11.
Cham, Candace M., Hui Xu, James P. O’Keefe, et al.. (2003). Gene Array and Protein Expression Profiles Suggest Post-transcriptional Regulation during CD8+ T Cell Differentiation. Journal of Biological Chemistry. 278(19). 17044–17052. 27 indexed citations
12.
Gajewski, Thomas F., Francesca Fallarino, Patrick E. Fields, Fabiola V. Rivas, & Maria‐Luisa Alegre. (2001). Absence of CTLA-4 Lowers the Activation Threshold of Primed CD8+ TCR-Transgenic T Cells: Lack of Correlation with Src Homology Domain 2-Containing Protein Tyrosine Phosphatase. The Journal of Immunology. 166(6). 3900–3907. 45 indexed citations
13.
Rivas, Fabiola V., Sean M. O’Herrin, & Thomas F. Gajewski. (2001). CD28 Is Not Required for c-Jun N-Terminal Kinase Activation in T Cells. The Journal of Immunology. 167(6). 3123–3128. 24 indexed citations
14.
Rivera, Horacio, et al.. (1987). Ovarian dysgenesis due to an idic(X)(q2803).. PubMed. 30(2). 98–100. 4 indexed citations
15.
Jm, Cantú, et al.. (1985). The prezygotic origin of structural mosaicisms.. PubMed. 28(2). 73–4. 4 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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