Jacob A. McPhail

951 total citations
16 papers, 400 citations indexed

About

Jacob A. McPhail is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Jacob A. McPhail has authored 16 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cell Biology and 6 papers in Physiology. Recurrent topics in Jacob A. McPhail's work include Cellular transport and secretion (9 papers), Calcium signaling and nucleotide metabolism (6 papers) and Biochemical and Molecular Research (3 papers). Jacob A. McPhail is often cited by papers focused on Cellular transport and secretion (9 papers), Calcium signaling and nucleotide metabolism (6 papers) and Biochemical and Molecular Research (3 papers). Jacob A. McPhail collaborates with scholars based in Canada, United States and United Kingdom. Jacob A. McPhail's co-authors include John E. Burke, Meredith L. Jenkins, Gillian L. Dornan, Reece M. Hoffmann, Kevan M. Shokat, Florentine U. Rutaganira, Rohitha Sriramaratnam, Erhan Keleş, Chiara Borsari and Matthias P. Wymann and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Cancer Research.

In The Last Decade

Jacob A. McPhail

15 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jacob A. McPhail Canada	11	249	126	60	50	46	16	400
Rosario Recacha United States	11	227 0.9×	96 0.8×	93 1.6×	30 0.6×	51 1.1×	22	423
Benjamin C. Jennings United States	10	484 1.9×	180 1.4×	21 0.3×	21 0.4×	56 1.2×	18	655
T. Kotenyova Sweden	9	485 1.9×	98 0.8×	18 0.3×	9 0.2×	68 1.5×	9	616
Patrick R. Cushing United States	10	346 1.4×	148 1.2×	30 0.5×	12 0.2×	46 1.0×	14	503
David Hamelin Canada	10	188 0.8×	85 0.7×	15 0.3×	12 0.2×	31 0.7×	17	280
Timothy S. Strutzenberg United States	13	463 1.9×	33 0.3×	21 0.3×	24 0.5×	50 1.1×	21	617
Christian Lüchtenborg Germany	15	362 1.5×	106 0.8×	11 0.2×	16 0.3×	58 1.3×	26	537
Elisabeth M. Storck United Kingdom	10	301 1.2×	83 0.7×	71 1.2×	8 0.2×	36 0.8×	12	466
Nancy S. Wang United States	5	290 1.2×	66 0.5×	36 0.6×	30 0.6×	38 0.8×	7	460
Zapporah T. Young United States	8	483 1.9×	175 1.4×	28 0.5×	4 0.1×	40 0.9×	9	583

Countries citing papers authored by Jacob A. McPhail

Since Specialization

Citations

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

Fields of papers citing papers by Jacob A. McPhail

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob A. McPhail

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

All Works

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16 of 16 papers shown

Lövestam, Sofia, Lindsay Meyerdirk, Jacob A. McPhail, et al.. (2025). Seed structure and phosphorylation in the fuzzy coat impact tau seeding competency. Nature Communications. 16(1). 9240–9240.

Smith, Sabrina, et al.. (2024). Microglia internalize tau monomers and fibrils using distinct receptors but similar mechanisms. Alzheimer s & Dementia. 21(2). e14418–e14418. 10 indexed citations

Saleeb, Rebecca S., Ji‐Eun Lee, Margaret Sunde, et al.. (2023). Two-color coincidence single-molecule pulldown for the specific detection of disease-associated protein aggregates. Science Advances. 9(46). eadi7359–eadi7359. 5 indexed citations

Borsari, Chiara, Erhan Keleş, Jacob A. McPhail, et al.. (2022). Covalent Proximity Scanning of a Distal Cysteine to Target PI3Kα. Journal of the American Chemical Society. 144(14). 6326–6342. 40 indexed citations

McPhail, Jacob A. & John E. Burke. (2022). Molecular mechanisms of PI4K regulation and their involvement in viral replication. Traffic. 24(3). 131–145. 30 indexed citations

Borsari, Chiara, Erhan Keleş, Jacob A. McPhail, et al.. (2021). Abstract 291: Development of optimized chemical probes targeting PI3Ka to deconvolute the role of class I PI3Ks isoforms in insulin signaling. Cancer Research. 81(13_Supplement). 291–291. 1 indexed citations

McPhail, Jacob A. & John E. Burke. (2020). Drugging the Phosphoinositide 3-Kinase (PI3K) and Phosphatidylinositol 4-Kinase (PI4K) Family of Enzymes for Treatment of Cancer, Immune Disorders, and Viral/Parasitic Infections. Advances in experimental medicine and biology. 1274. 203–222. 18 indexed citations

Eyermann, Charles J., Lauren B. Arendse, Gregory S. Basarab, et al.. (2020). Structural Basis for Inhibitor Potency and Selectivity of Plasmodium falciparum Phosphatidylinositol 4-Kinase Inhibitors. ACS Infectious Diseases. 6(11). 3048–3063. 21 indexed citations

Burke, John E., et al.. (2020). Defining how viruses manipulate lipid phosphoinositides through activation of PI4P kinases to mediate viral replication. The FASEB Journal. 34(S1). 1–1. 1 indexed citations

10.

McPhail, Jacob A., Heyrhyoung Lyoo, Joshua G. Pemberton, et al.. (2019). Characterization of the c10orf76‐PI4KB complex and its necessity for Golgi PI4P levels and enterovirus replication. EMBO Reports. 21(2). e48441–e48441. 34 indexed citations

11.

Rageot, Denise, Thomas Bohnacker, Erhan Keleş, et al.. (2019). (S)-4-(Difluoromethyl)-5-(4-(3-methylmorpholino)-6-morpholino-1,3,5-triazin-2-yl)pyridin-2-amine (PQR530), a Potent, Orally Bioavailable, and Brain-Penetrable Dual Inhibitor of Class I PI3K and mTOR Kinase. Journal of Medicinal Chemistry. 62(13). 6241–6261. 49 indexed citations

12.

Jenkins, Meredith L., Jean Piero Margaria, Reece M. Hoffmann, et al.. (2018). Structural determinants of Rab11 activation by the guanine nucleotide exchange factor SH3BP5. Nature Communications. 9(1). 3772–3772. 34 indexed citations

13.

McPhail, Jacob A., et al.. (2016). The Molecular Basis of Aichi Virus 3A Protein Activation of Phosphatidylinositol 4 Kinase IIIβ, PI4KB, through ACBD3. Structure. 25(1). 121–131. 37 indexed citations

14.

Dornan, Gillian L., Jacob A. McPhail, & John E. Burke. (2016). Type III phosphatidylinositol 4 kinases: structure, function, regulation, signalling and involvement in disease. Biochemical Society Transactions. 44(1). 260–266. 32 indexed citations

15.

Rutaganira, Florentine U., Jacob A. McPhail, Michael A. Gelman, et al.. (2016). Design and Structural Characterization of Potent and Selective Inhibitors of Phosphatidylinositol 4 Kinase IIIβ. Journal of Medicinal Chemistry. 59(5). 1830–1839. 51 indexed citations

16.

McPhail, Jacob A., Meredith L. Jenkins, Glenn R. Masson, et al.. (2016). Using hydrogen deuterium exchange mass spectrometry to engineer optimized constructs for crystallization of protein complexes: Case study of PI4KIIIβ with Rab11. Protein Science. 25(4). 826–839. 37 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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