Manuel A. Rivas

20.2k total citations · 2 hit papers
5 papers, 8.4k citations indexed

About

Manuel A. Rivas is a scholar working on Molecular Biology, Clinical Biochemistry and Genetics. According to data from OpenAlex, Manuel A. Rivas has authored 5 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Clinical Biochemistry and 2 papers in Genetics. Recurrent topics in Manuel A. Rivas's work include Metabolism and Genetic Disorders (2 papers), Genomics and Rare Diseases (1 paper) and Cancer-related molecular mechanisms research (1 paper). Manuel A. Rivas is often cited by papers focused on Metabolism and Genetic Disorders (2 papers), Genomics and Rare Diseases (1 paper) and Cancer-related molecular mechanisms research (1 paper). Manuel A. Rivas collaborates with scholars based in United States, United Kingdom and Australia. Manuel A. Rivas's co-authors include Mark J. Daly, David Altshuler, Stacey Gabriel, Andrey Sivachenko, Kiran Garimella, Eric Banks, Christopher Hartl, Ryan Poplin, Anthony Philippakis and Guillermo del Angel and has published in prestigious journals such as Nature, Nature Genetics and The American Journal of Human Genetics.

In The Last Decade

Manuel A. Rivas

5 papers receiving 8.3k citations

Hit Papers

align trajectories

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.

A framework for variation discovery and genotyping using next-generation DNA sequencing data

2011 7.3k citations Mark A. DePristo, Eric Banks et al. Nature Genetics profile →
Landscape of X chromosome inactivation across human tissues

2017 665 citations Taru Tukiainen, Alexandra–Chloé Villani et al. Nature profile →

Peers

Countries citing papers authored by Manuel A. Rivas

Since Specialization

Citations

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

Fields of papers citing papers by Manuel A. Rivas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel A. Rivas

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

All Works

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5 of 5 papers shown

#	Work	Indexed citations
1	Landscape of X chromosome inactivation across human tissues breakdown → 2017 ·Nature ·Taru Tukiainen, Alexandra–Chloé Villani, Angela Yen, Manuel A. Rivas, Jamie L. Marshall, Rahul Satija, Matthew Aguirre, Laura D. Gauthier, Mark Fleharty, Andrew Kirby, Beryl B. Cummings, Stephane E. Castel, Konrad J. Karczewski, François Aguet, Andrea Byrnes, Tuuli Lappalainen, Aviv Regev, Kristin Ardlie, Nir Hacohen, Daniel G. MacArthur	665
2	A null mutation in ANGPTL8 does not associate with either plasma glucose or type 2 diabetes in humans 2016 ·BMC Endocrine Disorders ·Katharine Clapham, Audrey Y. Chu, Jennifer Wessel, Pradeep Natarajan, Jason Flannick, Manuel A. Rivas, Samantha Sartori, Roxana Mehran, Usman Baber, Valentı́n Fuster, Robert A. Scott, Daniel J. Rader, Michael Boehnke, Mark I. McCarthy, David Altshuler, Sekar Kathiresan, Gina M. Peloso	8
3	Genetic Adaptation of Fatty-Acid Metabolism: A Human-Specific Haplotype Increasing the Biosynthesis of Long-Chain Omega-3 and Omega-6 Fatty Acids 2012 ·The American Journal of Human Genetics ·Adam Ameur, Stefan Enroth, Åsa Johansson, Ghazal Zaboli, Wilmar Igl, Anna Johansson, Manuel A. Rivas, Mark J. Daly, Gerd Schmitz, Andrew A. Hicks, Thomas Meitinger, Lars Feuk, Cornelia M. van Duijn, Ben A. Oostra, Peter P. Pramstaller, Igor Rudan, Alan F. Wright, James F. Wilson, Harry Campbell, Ulf Gyllensten	171
4	A framework for variation discovery and genotyping using next-generation DNA sequencing data breakdown → 2011 ·Nature Genetics ·Mark A. DePristo, Eric Banks, Ryan Poplin, Kiran Garimella, Jared Maguire, Christopher Hartl, Anthony Philippakis, Guillermo del Angel, Manuel A. Rivas, (unknown), Aaron McKenna, Tim Fennell, Andrew Kernytsky, Andrey Sivachenko, Kristian Cibulskis, Stacey Gabriel, David Altshuler, Mark J. Daly	7268
5	High-throughput, pooled sequencing identifies mutations in NUBPL and FOXRED1 in human complex I deficiency 2010 ·Nature Genetics ·Sarah E. Calvo, Elena J. Tucker, Alison G. Compton, Denise M. Kirby, Gabriel Crawford, Noël P. Burtt, Manuel A. Rivas, Candace Guiducci, Damien L. Bruno, Olga Goldberger, (unknown), Esko Wiltshire, Callum Wilson, David Altshuler, Stacey B. Gabriel, Mark J. Daly, David R. Thorburn, Vamsi K. Mootha	279

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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