William Mylott

620 total citations
28 papers, 410 citations indexed

About

William Mylott is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, William Mylott has authored 28 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Immunology. Recurrent topics in William Mylott's work include Monoclonal and Polyclonal Antibodies Research (11 papers), Biosimilars and Bioanalytical Methods (9 papers) and Protein purification and stability (6 papers). William Mylott is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (11 papers), Biosimilars and Bioanalytical Methods (9 papers) and Protein purification and stability (6 papers). William Mylott collaborates with scholars based in United States, Egypt and Switzerland. William Mylott's co-authors include Moucun Yuan, Rand Jenkins, Omnia A. Ismaiel, Matthew S. Halquist, Eric Ma, Bruce Stouffer, Michael Furlong, H. Thomas Karnes, Meina Liang and Diego Fernando Marmolejo Cortes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Analytica Chimica Acta.

In The Last Decade

William Mylott

28 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Mylott United States	13	168	133	86	86	83	28	410
Carola W.N. Damen Netherlands	14	361 2.1×	173 1.3×	122 1.4×	113 1.3×	184 2.2×	17	575
Christopher Lepsy United States	11	166 1.0×	45 0.3×	64 0.7×	89 1.0×	76 0.9×	18	417
Kees J. Bronsema Netherlands	8	173 1.0×	47 0.4×	25 0.3×	61 0.7×	104 1.3×	12	320
An He China	15	281 1.7×	33 0.2×	53 0.6×	49 0.6×	104 1.3×	44	501
D. Biou France	14	254 1.5×	72 0.5×	37 0.4×	88 1.0×	36 0.4×	44	535
Barry Jones United States	8	186 1.1×	28 0.2×	34 0.4×	48 0.6×	101 1.2×	11	318
Diane Tang‐Liu United States	15	163 1.0×	183 1.4×	72 0.8×	15 0.2×	25 0.3×	34	826
Xiaojiao Li China	15	138 0.8×	45 0.3×	50 0.6×	39 0.5×	31 0.4×	65	696
Siew Kwan Koh Singapore	15	261 1.6×	230 1.7×	46 0.5×	35 0.4×	89 1.1×	29	865
Kai Bruns Germany	13	252 1.5×	114 0.9×	15 0.2×	34 0.4×	115 1.4×	19	727

Countries citing papers authored by William Mylott

Since Specialization

Citations

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

Fields of papers citing papers by William Mylott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Mylott

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

All Works

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20 of 20 papers shown

Sun, Weiwen, Si Mou, Ian C. Scott, et al.. (2025). Development and qualification of an LC-MS/MS method for quantification of MUC5AC and MUC5B mucins in spontaneous sputum. Bioanalysis. 17(3). 187–198. 1 indexed citations

Yin, Feng, et al.. (2023). Development and validation of a hybrid immunoaffinity LC–MS/MS assay for quantitation of total antibody (TAb) from an antibody drug conjugate (ADC) PYX-201 in human plasma. Journal of Chromatography B. 1228. 123844–123844. 4 indexed citations

Yin, Feng, et al.. (2023). A sensitive and rapid LC-MS/MS assay for quantitation of free payload Aur0101 from antibody drug conjugate (ADC) PYX-201 in human plasma. Journal of Chromatography B. 1226. 123786–123786. 6 indexed citations

Yin, Feng, et al.. (2023). Bioanalysis of an antibody drug conjugate (ADC) PYX-201 in human plasma using a hybrid immunoaffinity LC–MS/MS approach. Journal of Chromatography B. 1223. 123715–123715. 10 indexed citations

Huang, Yue, Jérôme Bouquet, Jiaqi Yuan, et al.. (2022). Multiplex Hybrid Antigen-Capture LC-MRM Quantification in Sera and Nasal Lining Fluid of AZD7442, a SARS-CoV-2-Targeting Antibody Combination. Analytical Chemistry. 94(43). 14835–14845. 12 indexed citations

Ismaiel, Omnia A., et al.. (2022). Intact quantitative bioanalytical method development and fit-for-purpose validation of a monoclonal antibody and its related fab fragment in human vitreous and aqueous humor using LC-HRMS. Analytical and Bioanalytical Chemistry. 414(14). 4189–4202. 2 indexed citations

Ismaiel, Omnia A., et al.. (2022). Comparison of methods for quantitative analysis of ranibizumab and bevacizumab in human plasma using various bioanalytical techniques, including microfluidic immunoassay, triple quadrupole, and high-resolution liquid chromatography-tandem mass spectrometry approaches. Journal of Pharmaceutical and Biomedical Analysis. 217. 114823–114823. 4 indexed citations

Ismaiel, Omnia A., et al.. (2021). Optimization and method validation for the quantitative analysis of a monoclonal antibody and its related fab fragment in human plasma after intravitreal administration, using LC–MS/MS. Journal of Chromatography B. 1164. 122474–122474. 4 indexed citations

Huang, Yue, Kemal Balic, William Mylott, et al.. (2020). Multifaceted Bioanalytical Methods for the Comprehensive Pharmacokinetic and Catabolic Assessment of MEDI3726, an Anti-Prostate-Specific Membrane Antigen Pyrrolobenzodiazepine Antibody–Drug Conjugate. Analytical Chemistry. 92(16). 11135–11144. 20 indexed citations

10.

Ismaiel, Omnia A., et al.. (2019). Simultaneous determination of intracellular concentrations of tenofovir, emtricitabine, and dolutegravir in human brain microvascular endothelial cells using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Analytica Chimica Acta. 1056. 79–87. 16 indexed citations

11.

Ismaiel, Omnia A., William Mylott, Moucun Yuan, et al.. (2019). Cell-type specific differences in antiretroviral penetration and the effects of HIV-1 Tat and morphine among primary human brain endothelial cells, astrocytes, pericytes, and microglia. Neuroscience Letters. 712. 134475–134475. 18 indexed citations

12.

Yuan, Moucun, Omnia A. Ismaiel, & William Mylott. (2019). Hybrid Ligand Binding Immunoaffinity-Liquid Chromatography/Mass Spectrometry for Biotherapeutics and Biomarker Quantitation: How to develop a hybrid LBA-LC-MS/MS method for a protein?. 1(1). 47–55. 3 indexed citations

13.

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

14.

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

15.

Halquist, Matthew S., et al.. (2015). Comparison of a stable isotope labeled (SIL) peptide and an extended SIL peptide as internal standards to track digestion variability of an unstable signature peptide during quantification of a cancer biomarker, human osteopontin, from plasma using capillary microflow LC–MS/MS. Journal of Chromatography B. 1001. 156–168. 41 indexed citations

16.

Ji, Qin, Xiaohui Xu, Eric Ma, et al.. (2015). Selective Reaction Monitoring of Negative Electrospray Ionization Acetate Adduct Ions for the Bioanalysis of Dapagliflozin in Clinical Studies. Analytical Chemistry. 87(6). 3247–3254. 28 indexed citations

17.

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

18.

Furlong, Michael, Moucun Yuan, Laura J. Scott, et al.. (2013). A validated HPLC–MS/MS assay for quantifying unstable pharmacologically active metabolites of clopidogrel in human plasma: Application to a clinical pharmacokinetic study. Journal of Chromatography B. 926. 36–41. 18 indexed citations

19.

Furlong, Michael, Bing He, William Mylott, et al.. (2012). A validated enantioselective LC–MS/MS assay for the simultaneous determination of carvedilol and its pharmacologically active 4′-hydroxyphenyl metabolite in human plasma: Application to a clinical pharmacokinetic study. Journal of Pharmaceutical and Biomedical Analysis. 70. 574–579. 25 indexed citations

20.

Xu, Xiaohui, Jianing Zeng, William Mylott, et al.. (2009). Liquid chromatography and tandem mass spectrometry for the quantitative determination of ixabepilone (BMS-247550, Ixempra™) in human plasma: Method validation, overcoming curve splitting issues and eliminating chromatographic interferences from degradants. Journal of Chromatography B. 878(5-6). 525–537. 17 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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