Bryan P. Early

3.4k total citations · 1 hit paper
29 papers, 2.5k citations indexed

About

Bryan P. Early is a scholar working on Spectroscopy, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Bryan P. Early has authored 29 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Spectroscopy, 17 papers in Molecular Biology and 6 papers in Computational Mechanics. Recurrent topics in Bryan P. Early's work include Mass Spectrometry Techniques and Applications (25 papers), Advanced Proteomics Techniques and Applications (22 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Bryan P. Early is often cited by papers focused on Mass Spectrometry Techniques and Applications (25 papers), Advanced Proteomics Techniques and Applications (22 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Bryan P. Early collaborates with scholars based in United States, Germany and South Korea. Bryan P. Early's co-authors include Neil L. Kelleher, Paul M. Thomas, Ryan T. Fellers, Richard D. LeDuc, Kenneth R. Durbin, Philip D. Compton, John C. Tran, Joseph B. Greer, Dorothy R. Ahlf and Leonid Zamdborg and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Bryan P. Early

29 papers receiving 2.5k 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
Bryan P. Early United States	23	2.0k	1.6k	209	158	141	29	2.5k
Ryan T. Fellers United States	29	2.0k 1.0×	1.7k 1.0×	203 1.0×	199 1.3×	154 1.1×	58	2.7k
Alan M. Sandercock United Kingdom	14	1.3k 0.7×	1.3k 0.8×	223 1.1×	105 0.7×	214 1.5×	17	2.4k
Kenneth R. Durbin United States	27	1.7k 0.9×	1.5k 1.0×	170 0.8×	173 1.1×	133 0.9×	51	2.5k
Adam D. Catherman United States	18	1.3k 0.7×	1.2k 0.8×	77 0.4×	137 0.9×	81 0.6×	22	1.8k
Luca Fornelli United States	28	1.9k 1.0×	1.7k 1.1×	120 0.6×	222 1.4×	120 0.9×	66	2.7k
Dorothy R. Ahlf United States	13	993 0.5×	900 0.6×	74 0.4×	106 0.7×	64 0.5×	14	1.4k
Rafael D. Melani United States	18	775 0.4×	612 0.4×	156 0.7×	90 0.6×	79 0.6×	52	1.2k
Einar K. Fridriksson United States	8	1.9k 1.0×	1.2k 0.8×	248 1.2×	123 0.8×	148 1.0×	8	2.3k
Daniel A. Polasky United States	17	768 0.4×	934 0.6×	69 0.3×	75 0.5×	66 0.5×	30	1.3k
Jason M. Hogan United States	17	903 0.5×	733 0.5×	93 0.4×	76 0.5×	33 0.2×	30	1.3k

Countries citing papers authored by Bryan P. Early

Since Specialization

Citations

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

Fields of papers citing papers by Bryan P. Early

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan P. Early. 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 Bryan P. Early. The network helps show where Bryan P. Early may publish in the future.

Co-authorship network of co-authors of Bryan P. Early

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan P. Early. A scholar is included among the top collaborators of Bryan P. Early 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 Bryan P. Early. Bryan P. Early 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

Su, Pei, John P. McGee, Michael A. R. Hollas, et al.. (2025). Standardized workflow for multiplexed charge detection mass spectrometry on orbitrap analyzers. Nature Protocols. 20(6). 1485–1508. 4 indexed citations

Su, Pei, Michael A. R. Hollas, Indira Plá, et al.. (2025). Proteoform profiling of endogenous single cells from rat hippocampus at scale. Nature Biotechnology. 1 indexed citations

Su, Pei, Michael A. R. Hollas, Fatma Ayaloglu Butun, et al.. (2024). Single Cell Analysis of Proteoforms. Journal of Proteome Research. 23(6). 1883–1893. 12 indexed citations

Yang, Manxi, Hang Hu, Pei Su, et al.. (2022). Proteoform‐Selective Imaging of Tissues Using Mass Spectrometry**. Angewandte Chemie. 134(29). 3 indexed citations

Su, Pei, John P. McGee, Kenneth R. Durbin, et al.. (2022). Highly multiplexed, label-free proteoform imaging of tissues by individual ion mass spectrometry. Science Advances. 8(32). eabp9929–eabp9929. 44 indexed citations

Yang, Manxi, Hang Hu, Pei Su, et al.. (2022). Proteoform‐Selective Imaging of Tissues Using Mass Spectrometry**. Angewandte Chemie International Edition. 61(29). e202200721–e202200721. 37 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

Ives, Ashley N., Kenneth R. Durbin, Bryan P. Early, et al.. (2020). Using 10,000 Fragment Ions to Inform Scoring in Native Top-down Proteomics. Journal of the American Society for Mass Spectrometry. 31(7). 1398–1409. 19 indexed citations

LeDuc, Richard D., Ryan T. Fellers, Bryan P. Early, et al.. (2019). Accurate Estimation of Context-Dependent False Discovery Rates in Top-Down Proteomics. Molecular & Cellular Proteomics. 18(4). 796–805. 31 indexed citations

10.

Fornelli, Luca, Kristina Srzentić, Timothy K. Toby, et al.. (2019). Thorough Performance Evaluation of 213 nm Ultraviolet Photodissociation for Top-down Proteomics. Molecular & Cellular Proteomics. 19(2). 405–420. 50 indexed citations

11.

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

12.

Skinner, Owen S., Pierre C. Havugimana, Nicole A. Haverland, et al.. (2016). An informatic framework for decoding protein complexes by top-down mass spectrometry. Nature Methods. 13(3). 237–240. 47 indexed citations

13.

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

14.

Fellers, Ryan T., Joseph B. Greer, Bryan P. Early, et al.. (2014). ProSight Lite: Graphical software to analyze top‐down mass spectrometry data. PROTEOMICS. 15(7). 1235–1238. 214 indexed citations

15.

Catherman, Adam D., Kenneth R. Durbin, Dorothy R. Ahlf, et al.. (2013). Large-scale Top-down Proteomics of the Human Proteome: Membrane Proteins, Mitochondria, and Senescence. Molecular & Cellular Proteomics. 12(12). 3465–3473. 130 indexed citations

16.

Wu, Cong, John C. Tran, Leonid Zamdborg, et al.. (2012). A protease for 'middle-down' proteomics. Nature Methods. 9(8). 822–824. 96 indexed citations

17.

Ahlf, Dorothy R., Philip D. Compton, John C. Tran, et al.. (2012). Evaluation of the Compact High-Field Orbitrap for Top-Down Proteomics of Human Cells. Journal of Proteome Research. 11(8). 4308–4314. 73 indexed citations

18.

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 →

19.

Zamdborg, Leonid, et al.. (2007). ProSight PTM 2.0: improved protein identification and characterization for top down mass spectrometry. Nucleic Acids Research. 35(Web Server). W701–W706. 209 indexed citations

20.

Matthews, John B., et al.. (2002). Detection of a Primer-Binding Site Polymorphism for the STR Locus D16S539 Using the Powerplex® 1.1 System and Validation of a Degenerate Primer to Correct for the Polymorphism. Journal of Forensic Sciences. 47(2). 345–349. 26 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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