Fabiola V. Rivas
- Molecular Biology top 2%
- Cancer Research top 1%
- Plant Science top 5%
- Immunology top 10%
- Genetics top 10%
- Co-authors
- Gregory J. HannonJidong LiuJi‐Joon SongLeemor Joshua‐TorCarolyn G. MarsdenJ. Michael ThomsonMichelle A. CarmellScott M. Hammond
- Topics
- RNA Research and Splicing (5 papers)T-cell and B-cell Immunology (4 papers)Immune Cell Function and Interaction (4 papers)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Fabiola V. Rivas
15 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 3.3k
- Cancer Research 1.7k
- Plant Science 493
- Immunology 336
- Genetics 220
Countries citing papers authored by Fabiola V. Rivas
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | In this Issue: Inflammation. | 10 |
| 2 | 2 | |
| 3 | 305 | |
| 4 | 65 | |
| 5 | A role for the P-body component GW182 in microRNA functionbreakdown → | 524 |
| 6 | Purified Argonaute2 and an siRNA form recombinant human RISCbreakdown → | 568 |
| 7 | Argonaute2 Is the Catalytic Engine of Mammalian RNAibreakdown → | 2053 |
| 8 | 85 | |
| 9 | 61 | |
| 10 | 13 | |
| 11 | 27 | |
| 12 | 45 | |
| 13 | 24 | |
| 14 | Ovarian dysgenesis due to an idic(X)(q2803). | 4 |
| 15 | The prezygotic origin of structural mosaicisms. | 4 |
About Fabiola V. Rivas
Fabiola V. Rivas is a scholar working on Immunology, Cancer Research and Molecular Biology, having authored 15 papers that have together received 3.8k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Cancer Research (1.7k citations), Molecular Biology (3.3k citations) and Aging (48 citations). Fabiola V. Rivas has collaborated with scholars based in United States, India and Switzerland. Frequent 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. Their work appears in journals such as Science, Journal of Biological Chemistry and Molecular Cell.
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.