Richard G. Saul

410 total citations
16 papers, 254 citations indexed

About

Richard G. Saul is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Richard G. Saul has authored 16 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Spectroscopy and 3 papers in Oncology. Recurrent topics in Richard G. Saul's work include Glycosylation and Glycoproteins Research (5 papers), Advanced Proteomics Techniques and Applications (5 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Richard G. Saul is often cited by papers focused on Glycosylation and Glycoproteins Research (5 papers), Advanced Proteomics Techniques and Applications (5 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Richard G. Saul collaborates with scholars based in United States, South Africa and Australia. Richard G. Saul's co-authors include George H. DeVries, Kaiyan Yu, Gordon Whiteley, C. S. G. Phillips, W. Spencer Payne, Michael G.‏ Hadfield, Jeffrey A. Stanley, Amanda G. Paulovich, Ping Yan and Jeffrey R. Whiteaker and has published in prestigious journals such as PLoS ONE, Oncogene and Neuroscience.

In The Last Decade

Richard G. Saul

16 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard G. Saul United States 10 140 64 51 31 25 16 254
Younghoon Kim South Korea 11 182 1.3× 116 1.8× 18 0.4× 28 0.9× 29 1.2× 35 476
Gertjan Veldhuis Netherlands 10 119 0.8× 37 0.6× 19 0.4× 33 1.1× 14 0.6× 12 337
Marjan Bouma Netherlands 12 166 1.2× 16 0.3× 23 0.5× 33 1.1× 76 3.0× 20 447
Hari S. Patel United States 9 70 0.5× 13 0.2× 15 0.3× 66 2.1× 69 2.8× 13 350
Sarah Chung South Korea 9 246 1.8× 14 0.2× 50 1.0× 29 0.9× 7 0.3× 10 390
Soha Ahmadi Canada 12 186 1.3× 22 0.3× 20 0.4× 46 1.5× 12 0.5× 23 451
Enrico Abignente Italy 11 125 0.9× 11 0.2× 20 0.4× 50 1.6× 182 7.3× 18 407
R.E. Hubbard United Kingdom 9 199 1.4× 6 0.1× 27 0.5× 32 1.0× 22 0.9× 12 326
Naoki Miyagawa Japan 13 65 0.5× 22 0.3× 11 0.2× 36 1.2× 74 3.0× 27 333

Countries citing papers authored by Richard G. Saul

Since Specialization
Citations

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

Fields of papers citing papers by Richard G. Saul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard G. Saul. 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 Richard G. Saul. The network helps show where Richard G. Saul may publish in the future.

Co-authorship network of co-authors of Richard G. Saul

This figure shows the co-authorship network connecting the top 25 collaborators of Richard G. Saul. A scholar is included among the top collaborators of Richard G. Saul 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 Richard G. Saul. Richard G. Saul 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.
2.
Kaczmarczyk, Jan, Brian T. Luke, King C. Chan, et al.. (2021). Comparative microsomal proteomics of a model lung cancer cell line NCI-H23 reveals distinct differences between molecular profiles of 3D and 2D cultured cells. Oncotarget. 12(20). 2022–2038. 9 indexed citations
3.
Schoenherr, Regine M., Dongqing Huang, Uliana J. Voytovich, et al.. (2019). A dataset describing a suite of novel antibody reagents for the RAS signaling network. Scientific Data. 6(1). 160–160. 4 indexed citations
4.
Ye, Xiaoying, Brian T. Luke, Bih‐Rong Wei, et al.. (2018). Direct molecular dissection of tumor parenchyma from tumor stroma in tumor xenograft using mass spectrometry-based glycoproteomics. Oncotarget. 9(41). 26431–26452. 6 indexed citations
5.
Smith, Tara C., Richard G. Saul, Elisabeth R. Barton, & Elizabeth J. Luna. (2018). Generation and characterization of monoclonal antibodies that recognize human and murine supervillin protein isoforms. PLoS ONE. 13(10). e0205910–e0205910. 4 indexed citations
6.
Navas, Tony, Thomas D. Pfister, Simona Colantonio, et al.. (2018). Novel antibody reagents for characterization of drug- and tumor microenvironment-induced changes in epithelial-mesenchymal transition and cancer stem cells. PLoS ONE. 13(6). e0199361–e0199361. 9 indexed citations
7.
Frieling, Jeremy S., Gemma Shay, Victoria Izumi, et al.. (2017). Matrix metalloproteinase processing of PTHrP yields a selective regulator of osteogenesis, PTHrP1–17. Oncogene. 36(31). 4498–4507. 9 indexed citations
8.
Schoenherr, Regine M., Richard G. Saul, Jeffrey R. Whiteaker, et al.. (2014). Anti-Peptide Monoclonal Antibodies Generated for Immuno-Multiple Reaction Monitoring-Mass Spectrometry Assays Have a High Probability of Supporting Western blot and ELISA. Molecular & Cellular Proteomics. 14(2). 382–398. 25 indexed citations
9.
Saul, Richard G.. (2014). ADHD Does not Exist. 8 indexed citations
10.
Whiteley, Gordon, Simona Colantonio, Andrea Sacconi, & Richard G. Saul. (2009). Analytical Considerations for Mass Spectrometry Profiling in Serum Biomarker Discovery. Clinics in Laboratory Medicine. 29(1). 57–69. 5 indexed citations
11.
Harvey, Linda J., Paul Russo, Richard G. Saul, et al.. (2007). Proteomic patterns for classification of ovarian cancer and CTCL serum samples utilizing peak pairs indicative of post‐translational modifications. PROTEOMICS. 7(22). 4045–4052. 14 indexed citations
12.
Yu, Kaiyan, et al.. (1994). Starburst dendrimers: enhanced performance and flexibility for immunoassays. Clinical Chemistry. 40(9). 1845–1849. 84 indexed citations
13.
DeVries, George H., W. Spencer Payne, & Richard G. Saul. (1981). Composition of axolemma-enriched fractions isolated from bovine CNS myelinated axons. Neurochemical Research. 6(5). 521–537. 18 indexed citations
14.
Stanley, Jeffrey A., Richard G. Saul, Michael G.‏ Hadfield, & George H. DeVries. (1979). Mammalian central nervous system axolemma: histochemical evidence for axonal plasma membrane origin of bovine and rat axolemma-enriched membrane fractions. Neuroscience. 4(1). 155–167. 18 indexed citations
15.
Harford, Joe B., Charles J. Waechter, Richard G. Saul, & George H. DeVries. (1979). EVIDENCE FOR THE BIOSYNTHESIS OF MANNOSYLPHOSPHORYLDOLICHOL AND N‐ACETYLGLUCOSAMINYLPYROPHOSPHORYLDOLICHOL BY AN AXOLEMMA‐ENRICHED MEMBRANE PREPARATION FROM BOVINE WHITE MATTER. Journal of Neurochemistry. 32(1). 91–98. 13 indexed citations
16.
Phillips, C. S. G., et al.. (1967). The Direct Study of Heterogeneous Catalysis by Gas-Solid Chromatography. Journal of Chromatographic Science. 5(8). 424–428. 23 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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