Ryan T. Wagner

609 total citations
19 papers, 395 citations indexed

About

Ryan T. Wagner is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Ryan T. Wagner has authored 19 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Ryan T. Wagner's work include Epigenetics and DNA Methylation (7 papers), Pluripotent Stem Cells Research (6 papers) and Renal cell carcinoma treatment (3 papers). Ryan T. Wagner is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Pluripotent Stem Cells Research (6 papers) and Renal cell carcinoma treatment (3 papers). Ryan T. Wagner collaborates with scholars based in United States, United Kingdom and Russia. Ryan T. Wagner's co-authors include Austin J. Cooney, Xueping Xu, Bradley J. Merrill, Fei Yi, Michael T. McManus, Frank McCormick, Michael Boettcher, David Wu, Anne Biton and Martin Kampmann and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and Nature Biotechnology.

In The Last Decade

Ryan T. Wagner

17 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan T. Wagner United States	9	323	60	51	48	45	19	395
Margaret K. R. Donovan United States	10	275 0.9×	107 1.8×	67 1.3×	37 0.8×	14 0.3×	10	399
Songwei He China	9	249 0.8×	28 0.5×	41 0.8×	44 0.9×	57 1.3×	9	307
Astrid S. Pfister Germany	13	392 1.2×	56 0.9×	40 0.8×	28 0.6×	56 1.2×	19	507
Kelly Arndt United States	10	255 0.8×	120 2.0×	40 0.8×	25 0.5×	43 1.0×	17	378
Jinmi Choi South Korea	12	515 1.6×	57 0.9×	91 1.8×	34 0.7×	39 0.9×	17	590
Siddhant U. Jain India	9	513 1.6×	50 0.8×	59 1.2×	25 0.5×	24 0.5×	25	649
Yakun Liu China	13	325 1.0×	46 0.8×	128 2.5×	34 0.7×	31 0.7×	36	443
Marı́a Isabel Tussié-Luna United States	13	288 0.9×	50 0.8×	38 0.7×	21 0.4×	42 0.9×	18	497
Diederik de Bruijn Netherlands	8	580 1.8×	67 1.1×	38 0.7×	50 1.0×	52 1.2×	8	637

Countries citing papers authored by Ryan T. Wagner

Since Specialization

Citations

This map shows the geographic impact of Ryan T. Wagner'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 T. Wagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan T. Wagner more than expected).

Fields of papers citing papers by Ryan T. Wagner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan T. Wagner

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

All Works

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19 of 19 papers shown

Wagner, Ryan T., et al.. (2026). On the Discorhabdins Leading to the Aleutianamine Ring System: A One‐Step in Situ Transformation Characterized Through Computational and Experimental Studies and Its Implications on Biosynthesis, Synthesis, and Pharmacology. Angewandte Chemie.

Wagner, Ryan T., Ryan A. Hlady, Xiaoyu Pan, et al.. (2025). SETD2 loss-of-function uniquely sensitizes cells to epigenetic targeting of NSD1-directed H3K36 methylation. Genome biology. 26(1). 22–22. 2 indexed citations

Zhao, Xia, Ryan T. Wagner, Xiaoyu Pan, et al.. (2025). Deciphering the interplay between SETD2 mediated H3K36me3 and RNA N6-methyladenosine in clear cell renal cell carcinoma (ccRCC). Epigenetics. 20(1). 2456418–2456418. 2 indexed citations

Conteduca, Giuseppina, Davide Cangelosi, Chiara Baldo, et al.. (2024). Impact of NSD1 Alternative Transcripts in Actin Filament Formation and Cellular Division Pathways in Fibroblasts. Genes. 15(9). 1117–1117.

Hlady, Ryan A., Xia Zhao, Louis Y. El Khoury, et al.. (2024). Epigenetic heterogeneity hotspots in human liver disease progression. Hepatology. 81(4). 1197–1210. 6 indexed citations

Wagner, Ryan T., Ryan A. Hlady, Xiaoyu Pan, et al.. (2023). SETD2 loss in renal epithelial cells drives epithelial‐to‐mesenchymal transition in a TGF‐β‐independent manner. Molecular Oncology. 18(1). 44–61. 3 indexed citations

Khoury, Louis Y. El, Xiaoyu Pan, Ryan A. Hlady, et al.. (2023). Extensive intratumor regional epigenetic heterogeneity in clear cell renal cell carcinoma targets kidney enhancers and is associated with poor outcome. Clinical Epigenetics. 15(1). 71–71. 6 indexed citations

Xie, Sheila Q., Chad Whilding, Ryan T. Wagner, et al.. (2022). Nucleolar-based Dux repression is essential for embryonic two-cell stage exit. Genes & Development. 36(5-6). 331–347. 31 indexed citations

Khoury, Louis Y. El, Shuang Fu, Ryan A. Hlady, et al.. (2021). Identification of DNA methylation signatures associated with poor outcome in lower-risk Stage, Size, Grade and Necrosis (SSIGN) score clear cell renal cell cancer. Clinical Epigenetics. 13(1). 12–12. 8 indexed citations

10.

Wang, Liguo, George Marek, Ryan A. Hlady, et al.. (2019). Alpha‐1 Antitrypsin Deficiency Liver Disease, Mutational Homogeneity Modulated by Epigenetic Heterogeneity With Links to Obesity. Hepatology. 70(1). 51–66. 18 indexed citations

11.

Boettcher, Michael, Ruilin Tian, Ryan T. Wagner, et al.. (2018). Dual gene activation and knockout screen reveals directional dependencies in genetic networks. Nature Biotechnology. 36(2). 170–178. 101 indexed citations

12.

Aguiló, Francesca, Zuchra Zakirova, Ryan T. Wagner, et al.. (2017). THAP1: Role in Mouse Embryonic Stem Cell Survival and Differentiation. Stem Cell Reports. 9(1). 92–107. 24 indexed citations

13.

Cooney, Austin J. & Ryan T. Wagner. (2013). The diverse roles of nuclear receptors in the regulation of embryonic stem cell pluripotency. Journal of Stem Cell Research & Therapy. 1 indexed citations

14.

Wang, Qin, Ryan T. Wagner, & Austin J. Cooney. (2013). Regulatable In Vivo Biotinylation Expression System in Mouse Embryonic Stem Cells. PLoS ONE. 8(5). e63532–e63532. 4 indexed citations

15.

Wagner, Ryan T. & Austin J. Cooney. (2013). Minireview: The Diverse Roles of Nuclear Receptors in the Regulation of Embryonic Stem Cell Pluripotency. Molecular Endocrinology. 27(6). 864–878. 14 indexed citations

16.

Chiou, Shin‐Heng, Payam Shahi, Ryan T. Wagner, et al.. (2011). The E3 ligase c‐Cbl regulates dendritic cell activation. EMBO Reports. 12(9). 971–979. 16 indexed citations

17.

Wagner, Ryan T., Jennifer A. Lewis, Austin J. Cooney, & Lawrence Chan. (2010). Stem cell approaches for the treatment of type 1 diabetes mellitus. Translational research. 156(3). 169–179. 21 indexed citations

18.

Wagner, Ryan T., Xueping Xu, Fei Yi, Bradley J. Merrill, & Austin J. Cooney. (2010). Canonical Wnt/β-Catenin Regulation of Liver Receptor Homolog-1 Mediates Pluripotency Gene Expression . Stem Cells. 28(10). 1794–1804. 111 indexed citations

19.

Gu, Peili, Xueping Xu, Ryan T. Wagner, et al.. (2005). Evolutionary Trace-based Peptides Identify a Novel Asymmetric Interaction That Mediates Oligomerization in Nuclear Receptors. Journal of Biological Chemistry. 280(36). 31818–31829. 27 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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