Ryan Williams

3.6k total citations
44 papers, 2.9k citations indexed

About

Ryan Williams is a scholar working on Molecular Biology, Cancer Research and Organic Chemistry. According to data from OpenAlex, Ryan Williams has authored 44 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Organic Chemistry. Recurrent topics in Ryan Williams's work include Carbohydrate Chemistry and Synthesis (7 papers), Glycosylation and Glycoproteins Research (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Ryan Williams is often cited by papers focused on Carbohydrate Chemistry and Synthesis (7 papers), Glycosylation and Glycoproteins Research (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Ryan Williams collaborates with scholars based in United States, United Kingdom and Canada. Ryan Williams's co-authors include Garth Powis, Sarah J. Welsh, Lynn Kirkpatrick, Gillian Paine-Murrieta, Robert P. Erickson, Larisa Nonn, M. Carmen Galán, D. Lynn Kirkpatrick, Nathan T. Ihle and Amanda F. Baker and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Ryan Williams

42 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan Williams United States 25 2.0k 905 429 404 256 44 2.9k
Kiranmai Gumireddy United States 21 2.4k 1.2× 1.5k 1.6× 488 1.1× 253 0.6× 157 0.6× 28 3.3k
Fei Gu China 31 1.9k 1.0× 707 0.8× 480 1.1× 162 0.4× 170 0.7× 91 3.0k
Simon Wigfield United Kingdom 20 2.4k 1.2× 1.3k 1.5× 407 0.9× 233 0.6× 198 0.8× 25 3.2k
Richard Kendall United States 24 1.8k 0.9× 476 0.5× 837 2.0× 315 0.8× 324 1.3× 43 3.0k
Sumin Kang United States 26 2.3k 1.2× 1.4k 1.6× 487 1.1× 123 0.3× 256 1.0× 51 3.1k
Lourdes Toral‐Barza United States 28 1.9k 1.0× 301 0.3× 301 0.7× 514 1.3× 212 0.8× 41 2.6k
Sabina Cosulich United Kingdom 26 2.0k 1.0× 336 0.4× 526 1.2× 158 0.4× 253 1.0× 55 2.6k
Kazuhiko Tamaki Japan 14 1.3k 0.7× 1.2k 1.3× 1.0k 2.3× 341 0.8× 327 1.3× 31 2.9k
Jeremy Chien United States 39 2.9k 1.5× 943 1.0× 824 1.9× 120 0.3× 326 1.3× 115 4.6k
Jiazhi Sun United States 23 2.2k 1.1× 355 0.4× 1.2k 2.9× 308 0.8× 322 1.3× 42 3.3k

Countries citing papers authored by Ryan Williams

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Williams

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

All Works

20 of 20 papers shown
1.
Zhang, Yaoyao, Mattia Ghirardello, Ryan Williams, et al.. (2024). Microfluidics-Based Ionic Catch and Release Oligosaccharide Synthesis (ICROS-Microflow) to Expedite Glycosylation Chemistry. SHILAP Revista de lepidopterología. 4(11). 4328–4333. 1 indexed citations
2.
Zhang, Tao, Ned H. C. Hwang, Karla Lindquist, et al.. (2024). Evaluation of nasal septum deviation via reformatted computed tomography (CT) imaging following expansion using RPE and MARPE. Journal of the World Federation of Orthodontists. 14(3). 148–153.
3.
Parmeggiani, Fabio, Ryan Williams, Peter Both, et al.. (2021). A promiscuous glycosyltransferase generates poly-β-1,4-glucan derivatives that facilitate mass spectrometry-based detection of cellulolytic enzymes. Organic & Biomolecular Chemistry. 19(25). 5529–5533. 8 indexed citations
4.
Williams, Ryan, et al.. (2021). Evolving Therapies for Urothelial Carcinoma—Novel Paradigms and Future Directions. 16(2). 82–82. 1 indexed citations
5.
Williams, Ryan, et al.. (2018). An Introduction to Starting a Biobank. Methods in molecular biology. 1897. 7–16. 27 indexed citations
6.
Williams, Ryan, et al.. (2018). Orientation and Training of New Biobank Personnel. Methods in molecular biology. 1897. 51–63. 13 indexed citations
7.
8.
Williams, Ryan, et al.. (2015). MASH1/Ascl1a Leads to GAP43 Expression and Axon Regeneration in the Adult CNS. PLoS ONE. 10(3). e0118918–e0118918. 38 indexed citations
9.
Williams, Ryan, Xiangyuan Ma, Ryan K. Schott, et al.. (2014). Encoding Asymmetry of the N-Glycosylation Motif Facilitates Glycoprotein Evolution. PLoS ONE. 9(1). e86088–e86088. 16 indexed citations
10.
Epstein, Joshua, Pingping Qu, Adam Rosenthal, et al.. (2014). Modified Combat Removes Batch Effects from Myeloma Cell GEP–derived Risk Scores and Molecular Subgroup Assignment. Blood. 124(21). 3355–3355.
11.
Williams, Ryan. (2012). Corporate Commodity Hedging and Speculation in Financial and Product Markets. SSRN Electronic Journal. 1 indexed citations
12.
Shaughnessy, John D., Pingping Qu, Saad Z. Usmani, et al.. (2011). Pharmacogenomics of bortezomib test-dosing identifies hyperexpression of proteasome genes, especially PSMD4, as novel high-risk feature in myeloma treated with Total Therapy 3. Blood. 118(13). 3512–3524. 127 indexed citations
13.
Jacoby, Jörg J., Baruch Erez, Ryan Williams, et al.. (2010). Treatment with HIF-1α Antagonist PX-478 Inhibits Progression and Spread of Orthotopic Human Small Cell Lung Cancer and Lung Adenocarcinoma in Mice. Journal of Thoracic Oncology. 5(7). 940–949. 67 indexed citations
14.
Shi, Yonghong, Jelena Tomić, Fuqiang Wen, et al.. (2010). Aberrant O-GlcNAcylation characterizes chronic lymphocytic leukemia. Leukemia. 24(9). 1588–1598. 108 indexed citations
15.
Koh, Mei Yee, Taly R. Spivak-Kroizman, Sara Venturini, et al.. (2008). Molecular mechanisms for the activity of PX-478, an antitumor inhibitor of the hypoxia-inducible factor-1α. Molecular Cancer Therapeutics. 7(1). 90–100. 242 indexed citations
16.
Baker, Amanda F., Mei Yee Koh, Ryan Williams, et al.. (2008). Identification of Thioredoxin-Interacting Protein 1 as a Hypoxia-Inducible Factor 1α-Induced Gene in Pancreatic Cancer. Pancreas. 36(2). 178–186. 45 indexed citations
17.
Williams, Ryan, et al.. (2006). The skin and hair as surrogate tissues for measuring the target effect of inhibitors of phosphoinositide-3-kinase signaling. Cancer Chemotherapy and Pharmacology. 58(4). 444–450. 25 indexed citations
18.
Jordan, Bénédicte F., Matthew Runquist, Natarajan Raghunand, et al.. (2005). Dynamic Contrast-Enhanced and Diffusion MRI Show Rapid and Dramatic Changes in Tumor Microenvironment in Response to Inhibition of HIF-1α Using PX-478. Neoplasia. 7(5). 475–485. 107 indexed citations
19.
Baker, Amanda F., Tomislav Dragovich, Nathan T. Ihle, et al.. (2005). Stability of Phosphoprotein as a Biological Marker of Tumor Signaling. Clinical Cancer Research. 11(12). 4338–4340. 134 indexed citations
20.
Williams, Ryan, et al.. (2001). Trophoblast-Specific Expression and Function of the Integrin α7 Subunit in the Peri-implantation Mouse Embryo. Developmental Biology. 239(1). 161–175. 76 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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