Bryan A. Parks

644 total citations
19 papers, 462 citations indexed

About

Bryan A. Parks is a scholar working on Spectroscopy, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Bryan A. Parks has authored 19 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Spectroscopy, 7 papers in Molecular Biology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Bryan A. Parks's work include Advanced Proteomics Techniques and Applications (7 papers), Mass Spectrometry Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Bryan A. Parks is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), Mass Spectrometry Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Bryan A. Parks collaborates with scholars based in United States, Saudi Arabia and Sweden. Bryan A. Parks's co-authors include Neil L. Kelleher, Michael J. Roth, Kurt E. Kwast, Michael T. Boyne, Craig D. Wenger, Zsuzsanna Kuklenyik, James L. Pirkle, John R. Barr, Paul M. Thomas and Patricia V. Burke and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Bryan A. Parks

19 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan A. Parks United States 12 237 231 58 49 32 19 462
Myung Ja Choi South Korea 13 60 0.3× 182 0.8× 33 0.6× 66 1.3× 12 0.4× 38 483
Hermes Licea‐Perez United States 12 134 0.6× 154 0.7× 76 1.3× 4 0.1× 23 0.7× 24 461
Ivana Milic United Kingdom 14 57 0.2× 288 1.2× 18 0.3× 85 1.7× 9 0.3× 21 491
Sang-Ryoul Park South Korea 13 146 0.6× 252 1.1× 24 0.4× 12 0.2× 17 0.5× 31 577
Yanan Lu China 12 54 0.2× 119 0.5× 8 0.1× 58 1.2× 4 0.1× 42 412
Melissa R. Radabaugh United States 8 155 0.7× 217 0.9× 7 0.1× 18 0.4× 5 0.2× 13 386
Jennifer M. Cunliffe United States 13 235 1.0× 267 1.2× 5 0.1× 11 0.2× 16 0.5× 24 680
Chengjian Wang China 15 157 0.7× 486 2.1× 22 0.4× 26 0.5× 8 0.3× 36 655
Naglaa Sarhan Egypt 9 43 0.2× 181 0.8× 18 0.3× 20 0.4× 2 0.1× 30 380

Countries citing papers authored by Bryan A. Parks

Since Specialization
Citations

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

Fields of papers citing papers by Bryan A. Parks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan A. Parks. 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 Bryan A. Parks. The network helps show where Bryan A. Parks may publish in the future.

Co-authorship network of co-authors of Bryan A. Parks

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

All Works

19 of 19 papers shown
1.
Ivanova, Anna, Michael S. Gardner, Bryan A. Parks, et al.. (2024). Inaccurately Reported Statin Use Affects the Assessing of Lipid Profile Measures and Their Association with Coronary Artery Disease Risk. Clinical Chemistry. 70(3). 528–537. 1 indexed citations
2.
Kerman, Bilal E., Johannes Johansson, Henrik Zetterberg, et al.. (2022). Effect of the ABCA1 agonist CS-6253 on amyloid-β and lipoprotein metabolism in cynomolgus monkeys. Alzheimer s Research & Therapy. 14(1). 87–87. 13 indexed citations
3.
Ivanova, Anna, Jon C. Rees, Bryan A. Parks, et al.. (2022). Integrated Quantitative Targeted Lipidomics and Proteomics Reveal Unique Fingerprints of Multiple Metabolic Conditions. Biomolecules. 12(10). 1439–1439. 8 indexed citations
4.
Zhu, Lin, Christopher H. Emfinger, Bryan A. Parks, et al.. (2018). CETP Inhibition Improves HDL Function but Leads to Fatty Liver and Insulin Resistance in CETP-Expressing Transgenic Mice on a High-Fat Diet. Diabetes. 67(12). 2494–2506. 30 indexed citations
5.
6.
Parks, Bryan A., David Schieltz, Michael S. Gardner, et al.. (2017). High throughput quantification of apolipoproteins A‐I and B‐100 by isotope dilution MS targeting fast trypsin releasable peptides without reduction and alkylation. PROTEOMICS - CLINICAL APPLICATIONS. 11(7-8). 9 indexed citations
7.
Toth, Christopher, Zsuzsanna Kuklenyik, Jeffrey I. Jones, et al.. (2016). On-column trypsin digestion coupled with LC-MS/MS for quantification of apolipoproteins. Journal of Proteomics. 150. 258–267. 45 indexed citations
8.
Kuklenyik, Zsuzsanna, M. Gardner, Bryan A. Parks, et al.. (2015). Multivariate DoE Optimization of Asymmetric Flow Field Flow Fractionation Coupled to Quantitative LC-MS/MS for Analysis of Lipoprotein Subclasses. SHILAP Revista de lepidopterología. 2(1). 96–117. 12 indexed citations
9.
Wang, Dongxia, Jakub Baudys, Jon C. Rees, et al.. (2012). Subtyping Botulinum Neurotoxins by Sequential Multiple Endoproteases In-Gel Digestion Coupled with Mass Spectrometry. Analytical Chemistry. 84(11). 4652–4658. 14 indexed citations
10.
Raphael, Brian H., Amy M. Kahler, Bryan A. Parks, et al.. (2012). Ultrafiltration improves ELISA and Endopep MS analysis of botulinum neurotoxin type A in drinking water. Journal of Microbiological Methods. 90(3). 267–272. 6 indexed citations
11.
Parks, Bryan A., Jeffry D. Shearer, Jakub Baudys, et al.. (2011). Quantification of Botulinum Neurotoxin Serotypes A and B from Serum Using Mass Spectrometry. Analytical Chemistry. 83(23). 9047–9053. 18 indexed citations
12.
Roth, Michael J., et al.. (2008). “Proteotyping”:  Population Proteomics of Human Leukocytes Using Top Down Mass Spectrometry. Analytical Chemistry. 80(8). 2857–2866. 51 indexed citations
13.
Astle, John, J. Bruce German, George G. Harrigan, et al.. (2007). Characterization of Proteomic and Metabolomic Responses to Dietary Factors and Supplements1,. Journal of Nutrition. 137(12). 2787–2793. 26 indexed citations
14.
Parks, Bryan A., Lihua Jiang, Paul M. Thomas, et al.. (2007). Top-Down Proteomics on a Chromatographic Time Scale Using Linear Ion Trap Fourier Transform Hybrid Mass Spectrometers. Analytical Chemistry. 79(21). 7984–7991. 102 indexed citations
15.
Du, Yi, et al.. (2005). Top-Down Approaches for Measuring Expression Ratios of Intact Yeast Proteins Using Fourier Transform Mass Spectrometry. Analytical Chemistry. 78(3). 686–694. 55 indexed citations
16.
Parks, Bryan A., et al.. (2001). Analysis of metal incorporation during overexpression of Clostridium pasteurianum rubredoxin by electrospray FTICR mass spectrometry. JBIC Journal of Biological Inorganic Chemistry. 6(2). 201–206. 7 indexed citations
17.
Abukhalaf, Imad K., et al.. (2001). VALIDATION OF A SOLILD PHASE EXTRACTION PROCEDURE FOR THE GC-MS IDENTIFICATION AND QUANTITATION OF COCAINE AND THREE METABOLITES IN BLOOD, URINE, AND MILK. Journal of Liquid Chromatography & Related Technologies. 24(3). 401–414. 7 indexed citations
18.
Abukhalaf, Imad K., et al.. (2000). Comparative analytical quantitation of clenbuterol in biological matrices using GC‐MS and EIA. Biomedical Chromatography. 14(2). 99–105. 1 indexed citations
19.
Abukhalaf, Imad K., et al.. (2000). Comparative analytical quantitation of clenbuterol in biological matrices using GC-MS and EIA. Biomedical Chromatography. 14(2). 99–105. 29 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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