J. Graham Ruby

12.1k citations

36 papers · 7.1k indexed · 4 hit papers · h-index 24

Impact in

Aging top 0.2%
Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research

Papers in ⓘ

Aging 8
- Genetics, Aging, and Longevity in Model Organisms 8
Paleontology 4
- Evolution and Paleontology Studies 4

Co-authors: David P. Bartel (7 shared papers)Calvin H. Jan (4 shared papers)David P. Bartel (2 shared papers)Joseph L. DeRisi (10 shared papers)Robert Blelloch (2 shared papers)Joshua Babiarz (2 shared papers)Chad Nusbaum (2 shared papers)Yangming Wang (1 shared paper)
Journals: Nature (3 papers)G3 Genes Genomes Genetics (3 papers)Journal of the American Chemical Society (2 papers)The Journals of Gerontology Series A (2 papers)Genes & Development (2 papers)
Partner nations: United States Russia Portugal

In The Last Decade

J. Graham Ruby

34 papers receiving 7.0k citations

Hit Papers

align trajectories log scale

Mammalian microRNAs: experimental evaluation of novel and previously annotated genes 2010 · 655 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2010 Genes & Development
2008 Genes & Development
2007 Nature
2006 Cell

Peers

Countries citing papers authored by J. Graham Ruby

Since Specialization

Citations

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

Fields of papers citing papers by J. Graham Ruby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Graham Ruby. 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 J. Graham Ruby. The network helps show where J. Graham Ruby may publish in the future.

Co-authors

The 25 scholars most cited alongside J. Graham Ruby, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. Graham Ruby Line = papers co-authored together J. Graham Ruby links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Intronic microRNA precursors that bypass Drosha processing Nature ·J. Graham Ruby, Calvin H. Jan, David P. Bartel Hit paper breakdown →	2007	1206
2	Large-Scale Sequencing Reveals 21U-RNAs and Additional MicroRNAs and Endogenous siRNAs in C. elegans Cell ·J. Graham Ruby, Calvin Jan, Christopher M. Player, Michael J. Axtell, William Lee, Chad Nusbaum, Hui Ming Ge, David P. Bartel Hit paper breakdown →	2006	774
3	Mouse ES cells express endogenous shRNAs, siRNAs, and other Microprocessor-independent, Dicer-dependent small RNAs Genes & Development ·Joshua Babiarz, J. Graham Ruby, Yangming Wang, David P. Bartel, Robert Blelloch Hit paper breakdown →	2008	717
4	Mammalian microRNAs: experimental evaluation of novel and previously annotated genes Genes & Development ·Hou‐Yu Chiang, Lori W. Schoenfeld, J. Graham Ruby, Vincent C. Auyeung, Noah Spies, Daehyun Baek, Wendy K. Johnston, Carsten Russ, Shujun Luo, Joshua Babiarz, Robert Blelloch, Gary P. Schroth, Chad Nusbaum, David P. Bartel Hit paper breakdown →	2010	655
5	Evolution, biogenesis, expression, and target predictions of a substantially expanded set of Drosophila microRNAs Genome Research ·J. Graham Ruby, Alexander Stark, Wendy K. Johnston, Manolis Kellis, David P. Bartel, Eric C. Lai	2007	477
6	PRG-1 and 21U-RNAs Interact to Form the piRNA Complex Required for Fertility in C. elegans Molecular Cell ·Pedro J. Batista, J. Graham Ruby, Julie M. Claycomb, Rosaria Chiang, Noah Fahlgren, Kristin D. Kasschau, Daniel A. Chaves, Weifeng Gu, Jessica J. Vasale, Shenghua Duan, Darryl Conte, Shujun Luo, Gary P. Schroth, James C. Carrington, David P. Bartel, Craig C. Mello	2008	441
7	Formation, regulation and evolution of Caenorhabditis elegans 3′UTRs Nature ·Calvin H. Jan, Robin C. Friedman, J. Graham Ruby, David P. Bartel	2010	376
8	Temporal Analysis of the Honey Bee Microbiome Reveals Four Novel Viruses and Seasonal Prevalence of Known Viruses, Nosema, and Crithidia PLoS ONE ·Charles Runckel, Michelle L. Flenniken, Juan C. Engel, J. Graham Ruby, Donald Ganem, Raul Andino, Joseph L. DeRisi	2011	349
9	Comparative analysis of tandem repeats from hundreds of species reveals unique insights into centromere evolution Genome biology ·Daniël P. Melters, Keith Bradnam, Hugh A. Young, Natalie Telis, Michael R. May, J. Graham Ruby, Robert Sebra, Paul Peluso, John Eid, David R. Rank, José Fernando Garcia, Joseph L. DeRisi, Timothy P. L. Smith, Christian M. Tobias, Jeffrey Ross‐Ibarra, Ian Korf, Wan Chan	2013	348
10	The Drosophila hairpin RNA pathway generates endogenous short interfering RNAs Nature ·Katsutomo Okamura, Wei‐Jen Chung, J. Graham Ruby, Huili Guo, David P. Bartel, Eric C. Lai	2008	306
11	PRICE: Software for the Targeted Assembly of Components of (Meta) Genomic Sequence Data G3 Genes Genomes Genetics ·J. Graham Ruby, Priya Bellare, Joseph L. DeRisi	2013	211
12	Merochlorins A–D, Cyclic Meroterpenoid Antibiotics Biosynthesized in Divergent Pathways with Vanadium-Dependent Chloroperoxidases Journal of the American Chemical Society ·Leonard Kaysser, Peter Bernhardt, Sang‐Jip Nam, Sandra Loesgen, J. Graham Ruby, Peter Skewes-Cox, Paul R. Jensen, William Fenical, Bradley S. Moore	2012	182
13	Naked mole-rat mortality rates defy Gompertzian laws by not increasing with age eLife ·J. Graham Ruby, Megan Smith, Rochelle Buffenstein	2018	167
14	Identification, Characterization, and In Vitro Culture of Highly Divergent Arenaviruses from Boa Constrictors and Annulated Tree Boas: Candidate Etiological Agents for Snake Inclusion Body Disease mBio ·Mark D. Stenglein, C. J. Sanders, Amy Kistler, J. Graham Ruby, Jessica Franco, Drury R. Reavill, Freeland Dunker, Joseph L. DeRisi	2012	136
15	Estimates of the Heritability of Human Longevity Are Substantially Inflated due to Assortative Mating Genetics ·J. Graham Ruby, Kevin M. Wright, Kristin A. Rand, Amir R. Kermany, Keith Noto, Don Curtis, Neal Varner, Daniel Garrigan, Dmitri Slinkov, Ilya Dorfman, Julie M. Granka, Jake Byrnes, Natalie M. Myres, Catherine A. Ball	2018	123
16	Transcriptome Sequencing Demonstrates that Human Papillomavirus Is Not Active in Cutaneous Squamous Cell Carcinoma Journal of Investigative Dermatology ·Sarah T. Arron, J. Graham Ruby, Eric Dybbro, Don Ganem, Joseph L. DeRisi	2011	109
17	Acoel genome reveals the regulatory landscape of whole-body regeneration Science ·Andrew R. Gehrke, Emily R Neverett, Yi‐Jyun Luo, Alexander Brandt, Lorenzo Ricci, Ryan E. Hulett, Annika Gompers, J. Graham Ruby, Daniel S. Rokhsar, Peter W. Reddien, Mansi Srivastava	2019	104
18	The Macronuclear Genome of Stentor coeruleus Reveals Tiny Introns in a Giant Cell Current Biology ·Mark M. Slabodnick, J. Graham Ruby, Sarah B. Reiff, Estienne C. Swart, Sager J. Gosai, Sudhakaran Prabakaran, Ewa Witkowska, Graham E. Larue, Susan Fisher, Robert M. Freeman, Jeremy Gunawardena, William Cheng‐Chung Chu, Naomi A. Stover, Brian D. Gregory, Mariusz Nowacki, Joseph L. DeRisi, Scott William Roy, Wallace F. Marshall, Pranidhi Sood	2017	82
19	The posttranslational modification cascade to the thiopeptide berninamycin generates linear forms and altered macrocyclic scaffolds Proceedings of the National Academy of Sciences ·Steven J. Malcolmson, Travis S. Young, J. Graham Ruby, Peter Skewes-Cox, Christopher T. Walsh	2013	54
20	Molecular Insights into the Biosynthesis of Guadinomine: A Type III Secretion System Inhibitor Journal of the American Chemical Society ·Tracy C. Holmes, Aaron E. May, Kathia Zaleta-Rivera, J. Graham Ruby, Peter Skewes-Cox, Michael A. Fischbach, Joseph L. DeRisi, Masato Iwatsuki, Satoshi Ōmura, Chaitan Khosla	2012	48

About J. Graham Ruby

J. Graham Ruby is a scholar working on Aging, Paleontology, Cancer Research, Molecular Biology and Geriatrics and Gerontology, having authored 36 papers that have together received 7.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (8 papers), Genomics and Phylogenetic Studies (5 papers), MicroRNA in disease regulation (5 papers), Chromosomal and Genetic Variations (5 papers), RNA Research and Splicing (4 papers), CRISPR and Genetic Engineering (4 papers), Evolution and Paleontology Studies (4 papers) and Plant Virus Research Studies (3 papers). The work is most often cited by research in Aging (619 citations), Cancer Research (2.9k citations), Molecular Biology (5.1k citations), Plant Science (1.4k citations) and Insect Science (424 citations). J. Graham Ruby has collaborated with scholars based in United States, Russia and Portugal. Frequent co-authors include David P. Bartel, Calvin H. Jan, David P. Bartel, Joseph L. DeRisi, Robert Blelloch, Joshua Babiarz, Chad Nusbaum, Yangming Wang, Eric C. Lai and Wendy K. Johnston. Their work appears in journals such as Nature, G3 Genes Genomes Genetics, Journal of the American Chemical Society, The Journals of Gerontology Series A and Genes & Development.

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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