Manuel Ares

19.0k total citations · 4 hit papers
126 papers, 13.2k citations indexed

About

Manuel Ares is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Manuel Ares has authored 126 papers receiving a total of 13.2k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Manuel Ares's work include RNA Research and Splicing (86 papers), RNA and protein synthesis mechanisms (79 papers) and RNA modifications and cancer (65 papers). Manuel Ares is often cited by papers focused on RNA Research and Splicing (86 papers), RNA and protein synthesis mechanisms (79 papers) and RNA modifications and cancer (65 papers). Manuel Ares collaborates with scholars based in United States, United Kingdom and Israel. Manuel Ares's co-authors include David Haussler, Xiang‐Dong Fu, Timothy W. Nilsen, Donald C. Rio, Charles W. Sugnet, Gregory J. Hannon, Lily Shiue, Rhonda Perriman, Nello Cristianini and Michael P. Brown and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Manuel Ares

124 papers receiving 12.8k citations

Hit Papers

Knowledge-based analysis ... 2000 2026 2008 2017 2000 2010 2014 2006 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Manuel Ares 11.3k 1.5k 831 807 498 126 13.2k
Miguel A. Andrade‐Navarro 11.9k 1.1× 1.9k 1.3× 1.3k 1.6× 849 1.1× 904 1.8× 268 15.3k
Henning Hermjakob 12.8k 1.1× 1.0k 0.7× 1.2k 1.5× 945 1.2× 410 0.8× 213 17.4k
Zohar Yakhini 8.7k 0.8× 1.7k 1.1× 1.9k 2.3× 691 0.9× 310 0.6× 153 12.2k
Benjamin M. Bolstad 7.7k 0.7× 2.0k 1.3× 1.3k 1.6× 886 1.1× 379 0.8× 10 11.5k
Tanya Barrett 10.0k 0.9× 3.0k 2.0× 1.3k 1.5× 698 0.9× 409 0.8× 24 13.8k
Alvis Brāzma 11.0k 1.0× 1.4k 0.9× 1.6k 2.0× 1.0k 1.3× 287 0.6× 132 14.7k
Frederick P. Roth 9.9k 0.9× 885 0.6× 1.8k 2.2× 582 0.7× 209 0.4× 133 11.9k
Ron Edgar 8.7k 0.8× 2.0k 1.4× 1.4k 1.7× 1.1k 1.4× 311 0.6× 24 13.2k
Wyeth W. Wasserman 11.4k 1.0× 1.7k 1.2× 2.4k 2.9× 1.4k 1.7× 686 1.4× 200 15.0k
Charles W. Sugnet 8.4k 0.7× 1.4k 1.0× 2.2k 2.7× 1.1k 1.3× 215 0.4× 15 10.7k

Countries citing papers authored by Manuel Ares

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Ares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Ares

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Ares. A scholar is included among the top collaborators of Manuel Ares 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 Manuel Ares. Manuel Ares 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.
Talkish, Jason, Haller Igel, Asako Tan, et al.. (2023). Broad variation in response of individual introns to splicing inhibitors in a humanized yeast strain. RNA. 30(2). 149–170. 6 indexed citations
2.
Mulroney, Logan, et al.. (2021). Synthesis of modified nucleotide polymers by the poly(U) polymerase Cid1: application to direct RNA sequencing on nanopores. RNA. 27(12). 1497–1511. 11 indexed citations
3.
Talkish, Jason, Haller Igel, Rhonda Perriman, et al.. (2019). Rapidly evolving protointrons in Saccharomyces genomes revealed by a hungry spliceosome. PLoS Genetics. 15(8). e1008249–e1008249. 16 indexed citations
4.
Talkish, Jason, et al.. (2019). Cus2 enforces the first ATP-dependent step of splicing by binding to yeast SF3b1 through a UHM–ULM interaction. RNA. 25(8). 1020–1037. 21 indexed citations
5.
Lucas, Bronwyn A., Lily Shiue, Hana Cho, et al.. (2018). Evidence for convergent evolution of SINE-directed Staufen-mediated mRNA decay. Proceedings of the National Academy of Sciences. 115(5). 968–973. 36 indexed citations
6.
Fagg, W. Samuel, Naiyou Liu, Jeffrey H. Fair, et al.. (2017). Autogenous cross-regulation of Quaking mRNA processing and translation balances Quaking functions in splicing and translation. Genes & Development. 31(18). 1894–1909. 37 indexed citations
7.
Turner, Rushia, et al.. (2013). Safer one-pot synthesis of the ‘SHAPE’ reagent 1-methyl-7-nitroisatoic anhydride (1m7). RNA. 19(12). 1857–1863. 26 indexed citations
8.
Chakrabarti, Kausik, et al.. (2007). Structural RNAs of known and unknown function identified in malaria parasites by comparative genomics and RNA analysis. RNA. 13(11). 1923–1939. 78 indexed citations
9.
Li, Chunxia, Mitsuo Kato, Lily Shiue, et al.. (2006). Cell Type and Culture Condition–Dependent Alternative Splicing in Human Breast Cancer Cells Revealed by Splicing-Sensitive Microarrays. Cancer Research. 66(4). 1990–1999. 69 indexed citations
10.
Ares, Manuel & Nicholas Proudfoot. (2005). The Spanish ConnectionTranscription and mRNA Processing Get Even Closer. Cell. 120(2). 163–166. 13 indexed citations
11.
Perriman, Rhonda, Imre Barta, Gia K. Voeltz, John Abelson, & Manuel Ares. (2003). ATP requirement for Prp5p function is determined by Cus2p and the structure of U2 small nuclear RNA. Proceedings of the National Academy of Sciences. 100(24). 13857–13862. 70 indexed citations
12.
Howe, Kenneth J., Caroline M. Kane, & Manuel Ares. (2003). Perturbation of transcription elongation influences the fidelity of internal exon inclusion in Saccharomyces cerevisiae. RNA. 9(8). 993–1006. 143 indexed citations
13.
Grundy, William Noble, Manuel Ares, & David Haussler. (2001). Knowledge-based analysis of microarray gene expression data by using support vector machines. University of North Texas Digital Library (University of North Texas). 2 indexed citations
14.
McPheeters, David S., et al.. (2000). Functional Cus1p Is Found with Hsh155p in a Multiprotein Splicing Factor Associated with U2 snRNA. Molecular and Cellular Biology. 20(6). 2176–2185. 25 indexed citations
15.
Spingola, Marc & Manuel Ares. (2000). A Yeast Intronic Splicing Enhancer and Nam8p Are Required for Mer1p-Activated Splicing. Molecular Cell. 6(2). 329–338. 65 indexed citations
16.
Dong, Yan, Rhonda Perriman, Haller Igel, et al.. (1998). CUS2, a Yeast Homolog of Human Tat-SF1, Rescues Function of Misfolded U2 through an Unusual RNA Recognition Motif. Molecular and Cellular Biology. 18(9). 5000–5009. 71 indexed citations
17.
Ares, Manuel & Bryn Weiser. (1995). Rearrangement of snRNA Structure during Assembly and Function of the Spliceosome. Progress in nucleic acid research and molecular biology. 50. 131–159. 65 indexed citations
20.
Ares, Manuel, Marguerite Mangin, & Alan M. Weiner. (1985). Orientation-Dependent Transcriptional Activator Upstream of a Human U2 snRNA Gene. Molecular and Cellular Biology. 5(7). 1560–1570. 117 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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