Philip T. McGilvray

517 total citations
9 papers, 320 citations indexed

About

Philip T. McGilvray is a scholar working on Molecular Biology, Cell Biology and Materials Chemistry. According to data from OpenAlex, Philip T. McGilvray has authored 9 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Materials Chemistry. Recurrent topics in Philip T. McGilvray's work include RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (3 papers) and Mitochondrial Function and Pathology (2 papers). Philip T. McGilvray is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (3 papers) and Mitochondrial Function and Pathology (2 papers). Philip T. McGilvray collaborates with scholars based in United States and United Kingdom. Philip T. McGilvray's co-authors include Robert J. Keenan, S. Anghel, Ramanujan S. Hegde, Matthew L. Wohlever, Kasey J. Day, Agnieszka Mateja, Michael J. Trnka, Hong Hu, Alma L. Burlingame and Frank Zhong and has published in prestigious journals such as Molecular Cell, Chemical Communications and Cell Reports.

In The Last Decade

Philip T. McGilvray

9 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip T. McGilvray United States	6	274	126	76	17	13	9	320
Anthony J. Rampello United States	7	288 1.1×	85 0.7×	34 0.4×	21 1.2×	17 1.3×	7	331
Qinglong You United States	7	310 1.1×	117 0.9×	52 0.7×	12 0.7×	23 1.8×	9	372
Un Seng Chio United States	9	264 1.0×	127 1.0×	39 0.5×	15 0.9×	12 0.9×	14	305
JiaBei Lin United States	4	283 1.0×	85 0.7×	27 0.4×	52 3.1×	10 0.8×	5	318
T Guan United States	6	502 1.8×	69 0.5×	44 0.6×	8 0.5×	5 0.4×	7	534
Victor Tobiasson Sweden	10	293 1.1×	19 0.2×	30 0.4×	13 0.8×	17 1.3×	13	331
Sandeep Singh United States	8	227 0.8×	122 1.0×	97 1.3×	9 0.5×	15 1.2×	13	294
Thibaud Dieudonné France	10	277 1.0×	80 0.6×	17 0.2×	19 1.1×	31 2.4×	15	352
Alexandre Faille United Kingdom	8	216 0.8×	69 0.5×	22 0.3×	17 1.0×	27 2.1×	12	290
Christopher F Mugler Switzerland	5	441 1.6×	28 0.2×	32 0.4×	6 0.4×	17 1.3×	5	473

Countries citing papers authored by Philip T. McGilvray

Since Specialization

Citations

This map shows the geographic impact of Philip T. McGilvray'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 Philip T. McGilvray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip T. McGilvray more than expected).

Fields of papers citing papers by Philip T. McGilvray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip T. McGilvray. 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 Philip T. McGilvray. The network helps show where Philip T. McGilvray may publish in the future.

Co-authorship network of co-authors of Philip T. McGilvray

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

All Works

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9 of 9 papers shown

Zhang, Wen, Philip T. McGilvray, Tianxin Wang, et al.. (2023). Engineered mischarged transfer RNAs for correcting pathogenic missense mutations. Molecular Therapy. 32(2). 352–371. 17 indexed citations

Bruhn, Jessica F., et al.. (2022). Absolute configuration determination of pharmaceutical crystalline powders by MicroED via chiral salt formation. Chemical Communications. 58(30). 4711–4714. 11 indexed citations

McGilvray, Philip T., S. Anghel, Arunkumar Sundaram, et al.. (2021). An ER translocon for multi-pass membrane protein biogenesis. Acta Crystallographica Section A Foundations and Advances. 77(a2). C479–C479. 1 indexed citations

Bruhn, Jessica F., Giovanna Scapin, Anchi Cheng, et al.. (2021). Small Molecule Microcrystal Electron Diffraction (MicroED) for the Pharmaceutical Industry – Results from Examining Over Fifty Samples. Microscopy and Microanalysis. 27(S1). 2594–2598. 2 indexed citations

McGilvray, Philip T., S. Anghel, Arunkumar Sundaram, et al.. (2020). An ER translocon for multi-pass membrane protein biogenesis. eLife. 9. 84 indexed citations

Wohlever, Matthew L., Agnieszka Mateja, Philip T. McGilvray, Kasey J. Day, & Robert J. Keenan. (2017). Msp1 Is a Membrane Protein Dislocase for Tail-Anchored Proteins. Molecular Cell. 67(2). 194–202.e6. 87 indexed citations

Anghel, S., Philip T. McGilvray, Ramanujan S. Hegde, & Robert J. Keenan. (2017). Identification of Oxa1 Homologs Operating in the Eukaryotic Endoplasmic Reticulum. Cell Reports. 21(13). 3708–3716. 106 indexed citations

McGilvray, Philip T., et al.. (2013). Insights from an erroneous kinetochore-microtubule attachment state. PubMed. 3(3). 69–76. 4 indexed citations

McGilvray, Philip T., et al.. (2013). Development of a Drosophila Cell-Based Error Correction Assay. Frontiers in Oncology. 3. 187–187. 8 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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