Philip D. Compton

4.1k total citations · 1 hit paper
55 papers, 3.2k citations indexed

About

Philip D. Compton is a scholar working on Spectroscopy, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Philip D. Compton has authored 55 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Spectroscopy, 34 papers in Molecular Biology and 5 papers in Computational Mechanics. Recurrent topics in Philip D. Compton's work include Mass Spectrometry Techniques and Applications (41 papers), Advanced Proteomics Techniques and Applications (33 papers) and Metabolomics and Mass Spectrometry Studies (18 papers). Philip D. Compton is often cited by papers focused on Mass Spectrometry Techniques and Applications (41 papers), Advanced Proteomics Techniques and Applications (33 papers) and Metabolomics and Mass Spectrometry Studies (18 papers). Philip D. Compton collaborates with scholars based in United States, Germany and Brazil. Philip D. Compton's co-authors include Neil L. Kelleher, Paul M. Thomas, Bryan P. Early, Kenneth R. Durbin, Rafael D. Melani, Luca Fornelli, Leonid Zamdborg, John C. Tran, Jeffrey Shabanowitz and Donald F. Hunt and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Philip D. Compton

55 papers receiving 3.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mapping intact protein isoforms in discovery mode using top-down proteomics

2011 502 citations John C. Tran, Leonid Zamdborg et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip D. Compton United States	31	2.0k	1.9k	247	235	205	55	3.2k
Eric F. Strittmatter United States	31	2.1k 1.0×	1.6k 0.9×	139 0.6×	122 0.5×	233 1.1×	42	3.1k
Tomáš Rejtar United States	30	1.1k 0.5×	1.8k 1.0×	67 0.3×	112 0.5×	451 2.2×	45	2.7k
Claire E. Eyers United Kingdom	33	1.6k 0.8×	2.5k 1.3×	103 0.4×	219 0.9×	204 1.0×	98	3.7k
Urooj A. Mirza United States	20	828 0.4×	1.4k 0.7×	119 0.5×	237 1.0×	147 0.7×	37	2.7k
Abdullah Kahraman Switzerland	19	909 0.4×	2.2k 1.2×	33 0.1×	540 2.3×	68 0.3×	38	2.9k
Mowei Zhou United States	22	1.1k 0.6×	856 0.5×	235 1.0×	158 0.7×	123 0.6×	73	1.6k
Alan M. Sandercock United Kingdom	14	1.3k 0.6×	1.3k 0.7×	223 0.9×	214 0.9×	105 0.5×	17	2.4k
Vlad Zabrouskov United States	30	2.0k 1.0×	1.8k 1.0×	146 0.6×	96 0.4×	148 0.7×	56	2.8k
Aneika C. Leney United Kingdom	16	530 0.3×	804 0.4×	85 0.3×	68 0.3×	44 0.2×	29	1.1k
Mikhail V. Gorshkov Russia	30	2.2k 1.1×	1.5k 0.8×	290 1.2×	90 0.4×	212 1.0×	142	2.8k

Countries citing papers authored by Philip D. Compton

Since Specialization

Citations

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

Fields of papers citing papers by Philip D. Compton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip D. Compton

This figure shows the co-authorship network connecting the top 25 collaborators of Philip D. Compton. A scholar is included among the top collaborators of Philip D. Compton 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 D. Compton. Philip D. Compton 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

Soye, Benjamin J. Des, John P. McGee, Michael A. R. Hollas, et al.. (2024). Automated Immunoprecipitation, Sample Preparation, and Individual Ion Mass Spectrometry Platform for Proteoforms. Analytical Chemistry. 3 indexed citations

Lee, Benjamin C., et al.. (2024). End-To-End Automated Intact Protein Mass Spectrometry for High-Throughput Screening and Characterization of Bispecific and Multispecific Antibodies. Analytical Chemistry. 96(45). 18287–18300. 1 indexed citations

Dillon, Michael, Philip D. Compton, William S. Sawyer, et al.. (2023). High-Throughput Analyses of Therapeutic Antibodies Using High-Field Asymmetric Waveform Ion Mobility Spectrometry Combined with SampleStream and Intact Protein Mass Spectrometry. Analytical Chemistry. 95(47). 17263–17272. 2 indexed citations

McGee, John P., Michael W. Senko, Kevin Jooß, et al.. (2022). Automated Control of Injection Times for Unattended Acquisition of Multiplexed Individual Ion Mass Spectra. Analytical Chemistry. 94(48). 16543–16548. 13 indexed citations

Kafader, Jared O., Rafael D. Melani, Kenneth R. Durbin, et al.. (2020). Multiplexed mass spectrometry of individual ions improves measurement of proteoforms and their complexes. Nature Methods. 17(4). 391–394. 140 indexed citations

Kafader, Jared O., Kenneth R. Durbin, Rafael D. Melani, et al.. (2020). Individual Ion Mass Spectrometry Enhances the Sensitivity and Sequence Coverage of Top-Down Mass Spectrometry. Journal of Proteome Research. 19(3). 1346–1350. 42 indexed citations

McGee, John P., Rafael D. Melani, Ping Yip, et al.. (2020). Isotopic Resolution of Protein Complexes up to 466 kDa Using Individual Ion Mass Spectrometry. Analytical Chemistry. 93(5). 2723–2727. 39 indexed citations

Kafader, Jared O., Rafael D. Melani, Luis F. Schachner, et al.. (2020). Native vs Denatured: An in Depth Investigation of Charge State and Isotope Distributions. Journal of the American Society for Mass Spectrometry. 31(3). 574–581. 33 indexed citations

Abshiru, Nebiyu, Jacek Sikora, Jeannie M. Camarillo, et al.. (2020). Targeted detection and quantitation of histone modifications from 1,000 cells. PLoS ONE. 15(10). e0240829–e0240829. 5 indexed citations

10.

Kafader, Jared O., Rafael D. Melani, Michael W. Senko, et al.. (2019). Measurement of Individual Ions Sharply Increases the Resolution of Orbitrap Mass Spectra of Proteins. Analytical Chemistry. 91(4). 2776–2783. 66 indexed citations

11.

Skinner, Owen S., Nicole A. Haverland, Luca Fornelli, et al.. (2017). Top-down characterization of endogenous protein complexes with native proteomics. Nature Chemical Biology. 14(1). 36–41. 125 indexed citations

12.

Melani, Rafael D., Owen S. Skinner, Luca Fornelli, et al.. (2016). Mapping Proteoforms and Protein Complexes From King Cobra Venom Using Both Denaturing and Native Top-down Proteomics. Molecular & Cellular Proteomics. 15(7). 2423–2434. 71 indexed citations

13.

Melani, Rafael D., Henrique S. Seckler, Owen S. Skinner, et al.. (2016). CN-GELFrEE - Clear Native Gel-eluted Liquid Fraction Entrapment Electrophoresis. Journal of Visualized Experiments. 53597–53597. 11 indexed citations

14.

Fornelli, Luca, Kenneth R. Durbin, Ryan T. Fellers, et al.. (2016). Advancing Top-down Analysis of the Human Proteome Using a Benchtop Quadrupole-Orbitrap Mass Spectrometer. Journal of Proteome Research. 16(2). 609–618. 73 indexed citations

15.

Zheng, Yupeng, Luca Fornelli, Philip D. Compton, et al.. (2015). Unabridged Analysis of Human Histone H3 by Differential Top-Down Mass Spectrometry Reveals Hypermethylated Proteoforms from MMSET/NSD2 Overexpression. Molecular & Cellular Proteomics. 15(3). 776–790. 58 indexed citations

16.

Savaryn, John P., Owen S. Skinner, Luca Fornelli, et al.. (2015). Targeted analysis of recombinant NF kappa B (RelA/p65) by denaturing and native top down mass spectrometry. Journal of Proteomics. 134. 76–84. 8 indexed citations

17.

Ntai, Ioanna, Richard D. LeDuc, Ryan T. Fellers, et al.. (2015). Integrated Bottom-Up and Top-Down Proteomics of Patient-Derived Breast Tumor Xenografts. Molecular & Cellular Proteomics. 15(1). 45–56. 62 indexed citations

18.

Compton, Philip D., Luca Fornelli, Neil L. Kelleher, & Owen S. Skinner. (2015). Probing asymmetric charge partitioning of protein oligomers during tandem mass spectrometry. International Journal of Mass Spectrometry. 390. 132–136. 6 indexed citations

19.

Tran, John C., Leonid Zamdborg, Dorothy R. Ahlf, et al.. (2011). Mapping intact protein isoforms in discovery mode using top-down proteomics. Nature. 480(7376). 254–258. 502 indexed citations breakdown →

20.

Udeshi, Namrata D., Philip D. Compton, Jeffrey Shabanowitz, Donald F. Hunt, & Kristie L. Rose. (2008). Methods for analyzing peptides and proteins on a chromatographic timescale by electron-transfer dissociation mass spectrometry. Nature Protocols. 3(11). 1709–1717. 76 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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