Ryan E. Henry

1.9k total citations · 1 hit paper
16 papers, 1.4k citations indexed

About

Ryan E. Henry is a scholar working on Molecular Biology, Hepatology and Pathology and Forensic Medicine. According to data from OpenAlex, Ryan E. Henry has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Hepatology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Ryan E. Henry's work include Liver physiology and pathology (5 papers), Cancer Mechanisms and Therapy (4 papers) and Cancer-related Molecular Pathways (4 papers). Ryan E. Henry is often cited by papers focused on Liver physiology and pathology (5 papers), Cancer Mechanisms and Therapy (4 papers) and Cancer-related Molecular Pathways (4 papers). Ryan E. Henry collaborates with scholars based in United States, United Kingdom and Singapore. Ryan E. Henry's co-authors include Joaquı́n M. Espinosa, Raúl Mostoslavsky, Bhavapriya Vaitheesvaran, Debra Toiber, Orian S. Shirihai, Tomer Nir, Clary B. Clish, Irwin J. Kurland, Leif W. Ellisen and Alexander R. Guimarães and has published in prestigious journals such as Cell, The EMBO Journal and Cancer Research.

In The Last Decade

Ryan E. Henry

16 papers receiving 1.4k citations

Hit Papers

The Histone Deacetylase Sirt6 Regulates Glucose Homeostas... 2010 2026 2015 2020 2010 250 500 750
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.

  1. The Histone Deacetylase Sirt6 Regulates Glucose Homeostasis via Hif1α
    2010 808 citations Lei Zhong, Agustina D’Urso et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ryan E. Henry United States 12 860 472 285 268 256 16 1.4k
Bárbara Martínez-Pastor United States 14 1.1k 1.3× 627 1.3× 428 1.5× 352 1.3× 246 1.0× 18 1.8k
Cynthia S.W. Ho Canada 9 675 0.8× 191 0.4× 145 0.5× 137 0.5× 89 0.3× 9 1.0k
Marina N. Sharifi United States 12 876 1.0× 56 0.1× 62 0.2× 796 3.0× 352 1.4× 38 1.4k
Sheng-Cai Lin China 11 859 1.0× 58 0.1× 147 0.5× 411 1.5× 139 0.5× 12 1.2k
Guili Lian China 9 816 0.9× 57 0.1× 140 0.5× 414 1.5× 131 0.5× 11 1.2k
Jörg Vervoorts Germany 19 1.3k 1.5× 272 0.6× 159 0.6× 254 0.9× 192 0.8× 26 1.9k
Fulvio Chiacchiera Italy 18 1.0k 1.2× 85 0.2× 87 0.3× 158 0.6× 222 0.9× 26 1.2k
Ruth I. Tennen United States 8 646 0.8× 668 1.4× 488 1.7× 376 1.4× 76 0.3× 9 1.3k
Vladislav O. Sviderskiy United States 8 1.5k 1.8× 21 0.0× 122 0.4× 502 1.9× 764 3.0× 14 2.1k
Silvia Vega-Rubín-de-Celis Germany 12 611 0.7× 35 0.1× 156 0.5× 519 1.9× 164 0.6× 20 1.0k

Countries citing papers authored by Ryan E. Henry

Since Specialization
Citations

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

Fields of papers citing papers by Ryan E. Henry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan E. Henry. 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 Ryan E. Henry. The network helps show where Ryan E. Henry may publish in the future.

Co-authorship network of co-authors of Ryan E. Henry

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

All Works

16 of 16 papers shown
1.
Jones, Rhys D.O., Alexandra Borodovsky, Maryann San Martin, et al.. (2020). A pharmacokinetic–pharmacodynamic model for the MET tyrosine kinase inhibitor, savolitinib, to explore target inhibition requirements for anti‐tumour activity. British Journal of Pharmacology. 178(3). 600–613. 6 indexed citations
2.
3.
Barry, Evan, Elizabeth M. Maloney, Ryan E. Henry, et al.. (2016). Abstract 1150: Targeting MET Exon 14 mutations with the selective small molecule inhibitor Savolitinib. Cancer Research. 76(14_Supplement). 1150–1150. 1 indexed citations
4.
Henry, Ryan E., Evan Barry, Lillian Castriotta, et al.. (2016). Acquired savolitinib resistance in non-small cell lung cancer arises via multiple mechanisms that converge on MET-independent mTOR and MYC activation. Oncotarget. 7(36). 57651–57670. 27 indexed citations
5.
Schuller, Alwin G., Evan Barry, Rhys D.O. Jones, et al.. (2015). The MET Inhibitor AZD6094 (Savolitinib, HMPL-504) Induces Regression in Papillary Renal Cell Carcinoma Patient–Derived Xenograft Models. Clinical Cancer Research. 21(12). 2811–2819. 57 indexed citations
6.
D’Cruz, Celina M., Evan Barry, Ryan E. Henry, et al.. (2015). Abstract 761: Changing the paradigm for treating drug resistance in NSCLC: Novel combinations of AZD6094, a selective MET inhibitor, and an irreversible, selective (EGFRm/T790M) EGFRTKI, AZD9291. Cancer Research. 75(15_Supplement). 761–761. 2 indexed citations
7.
Tran, Miller, Ryan E. Henry, David Siefker, et al.. (2013). Production of anti‐cancer immunotoxins in algae: Ribosome inactivating proteins as fusion partners. Biotechnology and Bioengineering. 110(11). 2826–2835. 60 indexed citations
8.
Sullivan, Kelly D., et al.. (2012). The p53 circuit board. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1825(2). 229–244. 81 indexed citations
9.
Smallwood, Andrea, Gary C. Hon, Fulai Jin, et al.. (2012). CBX3 regulates efficient RNA processing genome-wide. Genome Research. 22(8). 1426–1436. 82 indexed citations
10.
Sullivan, Kelly D., Ryan E. Henry, Christopher C. Porter, et al.. (2012). ATM and MET kinases are synthetic lethal with nongenotoxic activation of p53. Nature Chemical Biology. 8(7). 646–654. 56 indexed citations
11.
Henry, Ryan E., Zdeněk Andrysík, R París, Matthew D. Galbraith, & Joaquı́n M. Espinosa. (2012). A DR4:tBID axis drives the p53 apoptotic response by promoting oligomerization of poised BAX. The EMBO Journal. 31(5). 1266–1278. 32 indexed citations
12.
Nickerson, Daniel P., Matthew West, Ryan E. Henry, & Greg Odorizzi. (2010). Regulators of Vps4 ATPase Activity at Endosomes Differentially Influence the Size and Rate of Formation of Intralumenal Vesicles. Molecular Biology of the Cell. 21(6). 1023–1032. 72 indexed citations
13.
Zhong, Lei, Agustina D’Urso, Debra Toiber, et al.. (2010). The Histone Deacetylase Sirt6 Regulates Glucose Homeostasis via Hif1α. Cell. 140(2). 280–293. 808 indexed citations breakdown →
14.
15.
París, R, et al.. (2008). Multiple p53-independent gene silencing mechanisms define the cellular response to p53 activation. Cell Cycle. 7(15). 2427–2433. 52 indexed citations
16.
Barnes, Dwight, et al.. (2005). Contribution of 5′- and 3′-untranslated regions of plastid mRNAs to the expression of Chlamydomonas reinhardtii chloroplast genes. Molecular Genetics and Genomics. 274(6). 625–636. 69 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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