Joseph B. Greer

1.5k total citations
25 papers, 919 citations indexed

About

Joseph B. Greer is a scholar working on Spectroscopy, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Joseph B. Greer has authored 25 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Spectroscopy, 15 papers in Molecular Biology and 5 papers in Computational Mechanics. Recurrent topics in Joseph B. Greer's work include Mass Spectrometry Techniques and Applications (21 papers), Advanced Proteomics Techniques and Applications (19 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Joseph B. Greer is often cited by papers focused on Mass Spectrometry Techniques and Applications (21 papers), Advanced Proteomics Techniques and Applications (19 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Joseph B. Greer collaborates with scholars based in United States, Canada and Philippines. Joseph B. Greer's co-authors include Ryan T. Fellers, Neil L. Kelleher, Richard D. LeDuc, Paul M. Thomas, Bryan P. Early, Xiang Yu, Luca Fornelli, Kenneth R. Durbin, Caroline J. DeHart and Philip D. Compton and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Biotechnology and Analytical Chemistry.

In The Last Decade

Joseph B. Greer

24 papers receiving 911 citations

Peers

Joseph B. Greer

SPECT

Nertila Siuti United States

Dorothy R. Ahlf United States

Lissa C. Anderson United States

Kristina Srzentić United States

Ralf Hartmer Germany

Takashi Nishikaze Japan

Carter Lantz United States

Elizabeth C. Randall United States

Beniam T. Berhane United States

Vera B. Ivleva United States

Nertila Siuti United States

Joseph B. Greer

729 ×1.0

SPECT

819 ×1.5

37 ×0.5

62 ×1.0

51 ×1.0

Citations per year, relative to Joseph B. Greer Joseph B. Greer (= 1×) peers Nertila Siuti

Countries citing papers authored by Joseph B. Greer

Since Specialization

Citations

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

Fields of papers citing papers by Joseph B. Greer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph B. Greer. 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 Joseph B. Greer. The network helps show where Joseph B. Greer may publish in the future.

Co-authorship network of co-authors of Joseph B. Greer

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph B. Greer. A scholar is included among the top collaborators of Joseph B. Greer 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 Joseph B. Greer. Joseph B. Greer 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

Fellers, Ryan T., et al.. (2025). Proteoform-predictor: Increasing the Phylogenetic Reach of Top-Down Proteomics. Journal of Proteome Research. 24(4). 1861–1870. 1 indexed citations

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

Belford, Michael W., Romain Huguet, Ryan T. Fellers, et al.. (2023). Orbitrap Mass Spectrometry and High-Field Asymmetric Waveform Ion Mobility Spectrometry (FAIMS) Enable the in-Depth Analysis of Human Serum Proteoforms. Journal of Proteome Research. 22(11). 3418–3426. 19 indexed citations

Robey, Matthew T., et al.. (2023). Advancing Intact Protein Quantitation with Updated Deconvolution Routines. Analytical Chemistry. 95(40). 14954–14962. 4 indexed citations

Belford, Michael W., Jingjing Huang, Joseph B. Greer, et al.. (2023). Improved Label-Free Quantification of Intact Proteoforms Using Field Asymmetric Ion Mobility Spectrometry. Analytical Chemistry. 95(23). 9090–9096. 11 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

10.

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

11.

Greer, Joseph B., Bryan P. Early, Kenneth R. Durbin, et al.. (2022). ProSight Annotator: Complete control and customization of protein entries in UniProt XML files. PROTEOMICS. 22(11-12). e2100209–e2100209. 8 indexed citations

12.

Weisbrod, Chad R., Lissa C. Anderson, Joseph B. Greer, Caroline J. DeHart, & Christopher L. Hendrickson. (2020). Increased Single-Spectrum Top-Down Protein Sequence Coverage in Trapping Mass Spectrometers with Chimeric Ion Loading. Analytical Chemistry. 92(18). 12193–12200. 6 indexed citations

13.

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

14.

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

15.

Satta, Rosalba, Roderick G. Davis, Young Ah Goo, et al.. (2019). Multidimensional Top-Down Proteomics of Brain-Region-Specific Mouse Brain Proteoforms Responsive to Cocaine and Estradiol. Journal of Proteome Research. 18(11). 3999–4012. 13 indexed citations

16.

Riley, Nicholas M., Jacek Sikora, Henrique S. Seckler, et al.. (2018). The Value of Activated Ion Electron Transfer Dissociation for High-Throughput Top-Down Characterization of Intact Proteins. Analytical Chemistry. 90(14). 8553–8560. 36 indexed citations

17.

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

18.

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

19.

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

20.

LeDuc, Richard D., Ryan T. Fellers, Bryan P. Early, et al.. (2014). The C-Score: A Bayesian Framework to Sharply Improve Proteoform Scoring in High-Throughput Top Down Proteomics. Journal of Proteome Research. 13(7). 3231–3240. 70 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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