S. Patrick Walton

2.4k total citations · 1 hit paper
89 papers, 1.7k citations indexed

About

S. Patrick Walton is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, S. Patrick Walton has authored 89 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 28 papers in Cardiology and Cardiovascular Medicine and 27 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in S. Patrick Walton's work include Cardiac Imaging and Diagnostics (25 papers), Advanced biosensing and bioanalysis techniques (19 papers) and RNA Interference and Gene Delivery (16 papers). S. Patrick Walton is often cited by papers focused on Cardiac Imaging and Diagnostics (25 papers), Advanced biosensing and bioanalysis techniques (19 papers) and RNA Interference and Gene Delivery (16 papers). S. Patrick Walton collaborates with scholars based in United States, United Kingdom and Canada. S. Patrick Walton's co-authors include Christina Chan, Harrison Lawson, Joseph A. Gredell, Ming‐Tsang Wu, Charles M. Roth, Martin L. Yarmush, Shengnan Xie, Daina Briedis, Gregory Stephanopoulos and Kristy A. Robinson and has published in prestigious journals such as PLoS ONE, Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

S. Patrick Walton

83 papers receiving 1.7k citations

Hit Papers

Metal–Organic Frameworks for Drug Delivery: A Design Pers... 2021 2026 2022 2024 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Patrick Walton United States 19 571 470 346 247 199 89 1.7k
Ruixue Cui China 25 310 0.5× 402 0.9× 513 1.5× 351 1.4× 89 0.4× 94 1.7k
Myung‐Hee Sohn South Korea 28 638 1.1× 211 0.4× 303 0.9× 507 2.1× 506 2.5× 158 2.6k
Jiaqi Fu China 24 973 1.7× 82 0.2× 267 0.8× 182 0.7× 92 0.5× 133 2.1k
Masaki Fujiwara Japan 24 161 0.3× 120 0.3× 155 0.4× 315 1.3× 67 0.3× 89 1.9k
Ji Ae Park South Korea 25 355 0.6× 53 0.1× 712 2.1× 460 1.9× 559 2.8× 147 2.1k
Roger C. Young United States 27 534 0.9× 48 0.1× 189 0.5× 234 0.9× 48 0.2× 81 2.3k
Wenyan Ji China 23 1.1k 1.8× 324 0.7× 856 2.5× 360 1.5× 15 0.1× 76 2.8k
Ningning Gao China 24 715 1.3× 154 0.3× 504 1.5× 442 1.8× 61 0.3× 83 2.0k
Federica Benvenuti Italy 25 491 0.9× 144 0.3× 139 0.4× 212 0.9× 104 0.5× 79 1.9k
John Latham United States 27 3.9k 6.8× 143 0.3× 214 0.6× 793 3.2× 98 0.5× 82 4.8k

Countries citing papers authored by S. Patrick Walton

Since Specialization
Citations

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

Fields of papers citing papers by S. Patrick Walton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Patrick Walton. 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 S. Patrick Walton. The network helps show where S. Patrick Walton may publish in the future.

Co-authorship network of co-authors of S. Patrick Walton

This figure shows the co-authorship network connecting the top 25 collaborators of S. Patrick Walton. A scholar is included among the top collaborators of S. Patrick Walton 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 S. Patrick Walton. S. Patrick Walton 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.
Chen, Kai‐En, et al.. (2024). The role of endoplasmic reticulum stress on reducing recombinant protein production in mammalian cells. Biochemical Engineering Journal. 210. 109434–109434. 1 indexed citations
2.
Nath, Aritro, et al.. (2020). Palmitate-Induced IRE1–XBP1–ZEB Signaling Represses Desmoplakin Expression and Promotes Cancer Cell Migration. Molecular Cancer Research. 19(2). 240–248. 19 indexed citations
3.
Minerick, Adrienne, Donald P. Visco, Susan Montgomery, et al.. (2020). Special Session: What Works to Retain Students in Chemical Engineering Programs. Papers on Engineering Education Repository (American Society for Engineering Education). 22.1315.1–22.1315.16. 1 indexed citations
4.
Chan, Christina, et al.. (2019). Endocytosis Controls siRNA Efficiency: Implications for siRNA Delivery Vehicle Design and Cell-Specific Targeting. Nucleic Acid Therapeutics. 30(1). 22–32. 24 indexed citations
5.
Walton, S. Patrick, et al.. (2013). Accurate automated quantitative imaging of tortoise erythrocytes using the nis image analysis system. Biotechnic & Histochemistry. 88(5). 242–249. 7 indexed citations
6.
Liu, Li, et al.. (2013). Quantitative, solution-phase profiling of multiple transcription factors in parallel. Analytical and Bioanalytical Chemistry. 405(8). 2461–2468. 9 indexed citations
7.
Walton, S. Patrick, et al.. (2012). Text Messaging as a Tool for Engaging Chemical Engineering Students. Chemical Engineering Education. 46(2). 80–86. 1 indexed citations
8.
Walton, S. Patrick. (2010). Engineering active siRNA therapeutics. FEBS Journal. 277(23). 4805–4805. 1 indexed citations
9.
Xie, Shengnan & S. Patrick Walton. (2009). Application and analysis of structure-switching aptamers for small molecule quantification. Analytica Chimica Acta. 638(2). 213–219. 11 indexed citations
10.
Walton, S. Patrick, et al.. (2007). In vitro binding of single‐stranded RNA by human Dicer. FEBS Letters. 581(29). 5611–5616. 19 indexed citations
11.
Egred, Mohaned, Gordon D. Waiter, Scott I. Semple, et al.. (2006). Blood oxygen level-dependent (BOLD) magnetic resonance imaging in patients with dypiridamole induced ischemia; a PET comparative study. European Heart Journal. 27. 415–416.
13.
Egred, Mohaned, Gordon D. Waiter, Thomas W. Redpath, et al.. (2006). Blood oxygen level-dependent (BOLD) magnetic resonance imaging in patients with dypiridamole induced ischaemia; a PET comparative study. International Journal of Cardiology. 115(1). 36–41. 6 indexed citations
14.
Walton, S. Patrick, Gregory Stephanopoulos, Martin L. Yarmush, & Charles M. Roth. (2002). Thermodynamic and Kinetic Characterization of Antisense Oligodeoxynucleotide Binding to a Structured mRNA. Biophysical Journal. 82(1). 366–377. 45 indexed citations
15.
Walton, S. Patrick, et al.. (2001). Rational selection and quantitative evaluation of antisense oligonucleotides. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1520(2). 105–114. 14 indexed citations
16.
Roth, Charles M., et al.. (2001). Coupling of inflammatory cytokine signaling pathways probed by measurements of extracellular acidification rate. Biophysical Chemistry. 89(1). 1–12. 7 indexed citations
17.
Norton, M. Y., et al.. (1998). Comparison between planar and tomographic radionuclide ventriculography for detecting inferior wall motion abnormalities. Clinical Radiology. 53(4). 264–267. 3 indexed citations
19.
20.
Norton, M. Y., S. Patrick Walton, & N.T.S. Evans. (1988). Gated cardiac tomography. European Journal of Nuclear Medicine and Molecular Imaging. 14(9-10). 472–476. 4 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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