Rand Jenkins

1.6k total citations
29 papers, 784 citations indexed

About

Rand Jenkins is a scholar working on Molecular Biology, Spectroscopy and Immunology. According to data from OpenAlex, Rand Jenkins has authored 29 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Spectroscopy and 9 papers in Immunology. Recurrent topics in Rand Jenkins's work include Biosimilars and Bioanalytical Methods (9 papers), Analytical Chemistry and Chromatography (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Rand Jenkins is often cited by papers focused on Biosimilars and Bioanalytical Methods (9 papers), Analytical Chemistry and Chromatography (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Rand Jenkins collaborates with scholars based in United States, Egypt and Belgium. Rand Jenkins's co-authors include H. Thomas Karnes, Omnia A. Ismaiel, Tianyi Zhang, William Mylott, Jeffrey X. Duggan, Faye Vazvaei, Robert O. Friedel, Surinder Kaur, Keyang Xu and Anne‐Françoise Aubry and has published in prestigious journals such as Journal of Pharmaceutical Sciences, Clinica Chimica Acta and Alzheimer s & Dementia.

In The Last Decade

Rand Jenkins

29 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rand Jenkins United States 16 333 233 147 130 124 29 784
Sabine Schulz Germany 16 440 1.3× 139 0.6× 60 0.4× 163 1.3× 125 1.0× 37 1.1k
Daniel J. Liberato United States 20 342 1.0× 338 1.5× 67 0.5× 38 0.3× 26 0.2× 38 970
John G. Swales United Kingdom 19 456 1.4× 545 2.3× 151 1.0× 51 0.4× 25 0.2× 34 1.1k
Jimmy Flarakos United States 14 307 0.9× 158 0.7× 60 0.4× 30 0.2× 42 0.3× 39 667
Raluca Ştefănescu Romania 14 335 1.0× 163 0.7× 33 0.2× 151 1.2× 48 0.4× 23 861
Minnie Jacob Saudi Arabia 15 604 1.8× 178 0.8× 60 0.4× 170 1.3× 18 0.1× 28 1.1k
Werner Windischhofer Austria 21 462 1.4× 209 0.9× 74 0.5× 197 1.5× 8 0.1× 71 1.2k
Claude Charuel France 12 693 2.1× 125 0.5× 24 0.2× 138 1.1× 35 0.3× 19 1.1k
Dieter Zimmer Germany 11 285 0.9× 264 1.1× 147 1.0× 15 0.1× 95 0.8× 35 752
Wiktoria Struck‐Lewicka Poland 16 612 1.8× 260 1.1× 26 0.2× 73 0.6× 12 0.1× 42 1.1k

Countries citing papers authored by Rand Jenkins

Since Specialization
Citations

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

Fields of papers citing papers by Rand Jenkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rand Jenkins

This figure shows the co-authorship network connecting the top 25 collaborators of Rand Jenkins. A scholar is included among the top collaborators of Rand Jenkins 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 Rand Jenkins. Rand Jenkins 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.
Schauer, Stephen, William Mylott, Moucun Yuan, et al.. (2018). Preanalytical approaches to improve recovery of amyloid-β peptides from CSF as measured by immunological or mass spectrometry-based assays. Alzheimer s Research & Therapy. 10(1). 118–118. 5 indexed citations
2.
Chi, Jingduan, et al.. (2017). Quantitation of levodopa and carbidopa in rat plasma by LC–MS/MS: The key role of ion-pairing reversed-phase chromatography. Journal of Chromatography B. 1054. 1–9. 21 indexed citations
3.
Ismaiel, Omnia A., William Mylott, & Rand Jenkins. (2017). Do We Have A Mature LC–MS/MS Methodology for Therapeutic Monoclonal Antibody Bioanalysis?. Bioanalysis. 9(17). 1289–1292. 3 indexed citations
4.
Andréasson, Ulf, Josef Pannee, Maria Bjerke, et al.. (2016). CSF Aβ1–42 – an excellent but complicated Alzheimer's biomarker – a route to standardisation. Clinica Chimica Acta. 467. 27–33. 95 indexed citations
5.
Chi, Jingduan, et al.. (2016). Ultrasensitive Sub-Pg/Ml Determination of Tiotropium Bromide in Human Plasma by 2D-UHPLC–MS/MS: Challenges and Solutions. Bioanalysis. 8(5). 385–395. 9 indexed citations
7.
Kelley, Marian, Lauren Stevenson, Michaela Golob, et al.. (2015). Workshop Report: AAPS Workshop on Method Development, Validation, and Troubleshooting of Ligand-Binding Assays in the Regulated Environment. The AAPS Journal. 17(4). 1019–1024. 2 indexed citations
8.
Duggan, Jeffrey X., Faye Vazvaei, & Rand Jenkins. (2015). Bioanalytical Method Validation Considerations for LC–MS/MS Assays of Therapeutic Proteins. Bioanalysis. 7(11). 1389–1395. 29 indexed citations
9.
Pannee, Josef, Johan Gobom, Leslie M. Shaw, et al.. (2015). Round robin test on quantification of amyloid‐β 1–42 in cerebrospinal fluid by mass spectrometry. Alzheimer s & Dementia. 12(1). 55–59. 41 indexed citations
10.
Halquist, Matthew S., et al.. (2015). An extended stable isotope‐labeled signature peptide internal standard for tracking immunocapture of human plasma osteopontin for LC‐MS/MS quantification. Biomedical Chromatography. 29(11). 1780–1782. 9 indexed citations
11.
Jenkins, Rand, Jeffrey X. Duggan, Anne‐Françoise Aubry, et al.. (2014). Recommendations for Validation of LC-MS/MS Bioanalytical Methods for Protein Biotherapeutics. The AAPS Journal. 17(1). 1–16. 140 indexed citations
12.
Ismaiel, Omnia A., Rand Jenkins, & H. Thomas Karnes. (2012). Investigation of endogenous blood lipids components that contribute to matrix effects in dried blood spot samples by liquid chromatography‐tandem mass spectrometry. Drug Testing and Analysis. 5(8). 710–715. 14 indexed citations
13.
Ismaiel, Omnia A., Tianyi Zhang, Rand Jenkins, & H. Thomas Karnes. (2011). Determination of octreotide and assessment of matrix effects in human plasma using ultra high performance liquid chromatography–tandem mass spectrometry. Journal of Chromatography B. 879(22). 2081–2088. 35 indexed citations
14.
Jenkins, Rand, et al.. (2011). P2‐039: A Multiplex UPLC‐MS/MS‐based assay for amyloid β and related biomarker peptides in human cerebrospinal fluid. Alzheimer s & Dementia. 7(4S_Part_9). 1 indexed citations
15.
Bhamra, R.K., et al.. (2010). A randomized, multiple-dose parallel study to compare the pharmacokinetic parameters of synthetic conjugated estrogens, A, administered as oral tablet or vaginal cream. Menopause The Journal of The North American Menopause Society. 18(4). 393–399. 4 indexed citations
16.
Ismaiel, Omnia A., Tianyi Zhang, Rand Jenkins, & H. Thomas Karnes. (2010). Investigation of endogenous blood plasma phospholipids, cholesterol and glycerides that contribute to matrix effects in bioanalysis by liquid chromatography/mass spectrometry. Journal of Chromatography B. 878(31). 3303–3316. 114 indexed citations
17.
O’Maille, Grace, et al.. (2008). An improved LC–ESI–MS–MS method for simultaneous quantitation of rosiglitazone and N-desmethyl rosiglitazone in human plasma. Journal of Pharmaceutical and Biomedical Analysis. 48(3). 934–939. 22 indexed citations
18.
MacGregor, Thomas R., et al.. (2007). Quantitation of five nevirapine oxidative metabolites in human plasma using liquid chromatography–tandem mass spectrometry. Journal of Chromatography B. 856(1-2). 252–260. 15 indexed citations
20.

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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