Richard Sallari

22.0k total citations
9 papers, 487 citations indexed

About

Richard Sallari is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Richard Sallari has authored 9 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Richard Sallari's work include RNA modifications and cancer (3 papers), Cancer Genomics and Diagnostics (3 papers) and RNA Research and Splicing (3 papers). Richard Sallari is often cited by papers focused on RNA modifications and cancer (3 papers), Cancer Genomics and Diagnostics (3 papers) and RNA Research and Splicing (3 papers). Richard Sallari collaborates with scholars based in United States, Canada and United Kingdom. Richard Sallari's co-authors include Rama Natarajan, Mary‐Elizabeth Patti, Katalin Suszták, Evan D. Rosen, Klaus H. Kaestner, Maike Sander, Mathieu Lupien, Ryan C. Gimple, Cynthia F. Bartels and Zachary Faber and has published in prestigious journals such as Cell, Nature Genetics and Bioinformatics.

In The Last Decade

Richard Sallari

8 papers receiving 486 citations

Peers

Countries citing papers authored by Richard Sallari

Since Specialization

Citations

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

Fields of papers citing papers by Richard Sallari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Sallari

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

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	AQuA Tools: clear and reliable BEDPE operations for 3D genomics 2025 ·Bioinformatics ·(unknown), Laura C Morgan, (unknown), (unknown), Hyunmin Kim, (unknown), (unknown), Olivia Corradin, Peter C. Scacheri, Richard Sallari, Berkley E. Gryder	0
2	Convergence of case-specific epigenetic alterations identify a confluence of genetic vulnerabilities tied to opioid overdose 2022 ·Molecular Psychiatry ·Olivia Corradin, Richard Sallari, (unknown), Bibi Kassim, (unknown), (unknown), Bryan C. Quach, (unknown), (unknown), Berkley E. Gryder, (unknown), Hannah M. Cates, Yanwei Song, Cynthia F. Bartels, Dana B. Hancock, Deborah C. Mash, Eric O. Johnson, Schahram Akbarian, Peter C. Scacheri	7
3	A regulatory variant at 3q21.1 confers an increased pleiotropic risk for hyperglycemia and altered bone mineral density 2021 ·Cell Metabolism ·Nasa Sinnott-Armstrong, Isabel Sousa, Samantha Laber, Elizabeth Rendina-Ruedy, Simon N. Dankel, Teresa Ferreira, Gunnar Mellgren, David Karasik, Manuel A. Rivas, Jonathan K. Pritchard, Anyonya R. Guntur, Roger Cox, Cecilia M. Lindgren, Hans Hauner, Richard Sallari, Clifford J. Rosen, Yi‐Hsiang Hsu, Eric S. Lander, Douglas P. Kiel, Melina Claussnitzer	27
4	Functional Enhancers Shape Extrachromosomal Oncogene Amplifications 2019 ·Cell ·Andrew R. Morton, Nergiz Doğan, Zachary Faber, Graham MacLeod, Cynthia F. Bartels, (unknown), Kevin Allan, Stephen C. Mack, Xiuxing Wang, Ryan C. Gimple, Qiulian Wu, Brian P. Rubin, Shashirekha Shetty, Stéphane Angers, Peter B. Dirks, Richard Sallari, Mathieu Lupien, Jeremy N. Rich, Peter C. Scacheri	203
5	Epigenetics and Epigenomics: Implications for Diabetes and Obesity 2018 ·Diabetes ·Evan D. Rosen, Klaus H. Kaestner, Rama Natarajan, Mary‐Elizabeth Patti, Richard Sallari, Maike Sander, Katalin Suszták	122
6	Pan-cancer screen for mutations in non-coding elements with conservation and cancer specificity reveals correlations with expression and survival 2018 ·npj Genomic Medicine ·Henrik Hornshøj, Morten Muhlig Nielsen, Nicholas A. Sinnott‐Armstrong, (unknown), Malene Juul, Tobias Madsen, Richard Sallari, Manolis Kellis, Torben Ørntoft, Asger Hobolth, Jakob Skou Pedersen	55
7	Variant Set Enrichment: an R package to identify disease-associated functional genomic regions 2017 ·BioData Mining ·Musaddeque Ahmed, Richard Sallari, Haiyang Guo, Jason H. Moore, Housheng Hansen He, Mathieu Lupien	14
8	Noncoding somatic and inherited single-nucleotide variants converge to promote ESR1 expression in breast cancer 2016 ·Nature Genetics ·Swneke D. Bailey, Kinjal Desai, Ken J. Kron, Parisa Mazrooei, Nicholas A. Sinnott‐Armstrong, Aislinn E. Treloar, Mark Dowar, Kelsie L. Thu, David W. Cescon, Jennifer Silvester, S.Y. Cindy Yang, Xue Wu, Rossanna C. Pezo, Benjamin Haibe‐Kains, Tak W. Mak, Philippe L. Bédard, Trevor J. Pugh, Richard Sallari, Mathieu Lupien	57
9	SMAD4‐dependent polysome RNA recruitment in human pancreatic cancer cells 2011 ·Molecular Carcinogenesis ·(unknown), Heidi W. Trask, Carol S. Ringelberg, C. Ridley, (unknown), Richard Sallari, Jason H. Moore, Murray Korc, Craig R. Tomlinson	2

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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