Robert J. Chalkley

10.4k total citations
103 papers, 5.5k citations indexed

About

Robert J. Chalkley is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, Robert J. Chalkley has authored 103 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 40 papers in Spectroscopy and 12 papers in Organic Chemistry. Recurrent topics in Robert J. Chalkley's work include Advanced Proteomics Techniques and Applications (35 papers), Mass Spectrometry Techniques and Applications (28 papers) and Glycosylation and Glycoproteins Research (25 papers). Robert J. Chalkley is often cited by papers focused on Advanced Proteomics Techniques and Applications (35 papers), Mass Spectrometry Techniques and Applications (28 papers) and Glycosylation and Glycoproteins Research (25 papers). Robert J. Chalkley collaborates with scholars based in United States, United Kingdom and Australia. Robert J. Chalkley's co-authors include Alma L. Burlingame, Katalin F. Medzihradszky, Peter R. Baker, A. L. Burlingame, Kirk C. Hansen, Jonathan C. Trinidad, Agnes Thalhammer, Ralf Schoepfer, Keith Vosseller and Aenoch J. Lynn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Robert J. Chalkley

102 papers receiving 5.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert J. Chalkley United States	43	4.0k	1.6k	709	612	603	103	5.5k
Jun Qu United States	41	3.3k 0.8×	943 0.6×	776 1.1×	204 0.3×	364 0.6×	160	5.0k
Young‐Ki Paik South Korea	40	3.1k 0.8×	964 0.6×	230 0.3×	243 0.4×	364 0.6×	159	5.2k
Tao Xu United States	45	4.8k 1.2×	1.2k 0.7×	152 0.2×	206 0.3×	564 0.9×	112	6.9k
Paul J. Boersema Netherlands	28	3.7k 0.9×	1.9k 1.2×	141 0.2×	286 0.5×	190 0.3×	34	4.9k
Benjamin L. Parker Australia	37	3.4k 0.9×	848 0.5×	327 0.5×	115 0.2×	323 0.5×	99	4.6k
Roger Sandhoff Germany	40	4.2k 1.1×	553 0.3×	347 0.5×	163 0.3×	558 0.9×	95	5.8k
Karsten Kuhn Germany	21	3.3k 0.8×	2.3k 1.4×	240 0.3×	105 0.2×	207 0.3×	44	4.4k
Igor Štagljar Canada	43	4.7k 1.2×	237 0.1×	220 0.3×	619 1.0×	258 0.4×	129	5.9k
Sean A. Beausoleil United States	25	7.3k 1.8×	2.9k 1.8×	105 0.1×	247 0.4×	448 0.7×	30	9.0k
Éric Bonneil Canada	40	3.4k 0.8×	782 0.5×	92 0.1×	206 0.3×	1.0k 1.7×	104	4.8k

Countries citing papers authored by Robert J. Chalkley

Since Specialization

Citations

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

Fields of papers citing papers by Robert J. Chalkley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Chalkley. 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 Robert J. Chalkley. The network helps show where Robert J. Chalkley may publish in the future.

Co-authorship network of co-authors of Robert J. Chalkley

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Darula, Zsuzsanna, Maxwell C. McCabe, Alex Barrett, et al.. (2025). Proteomic characterization of type I collagen N-terminal crosslinked peptides. PubMed. 27. 100179–100179.

Phillips, Nancy J., et al.. (2023). Capture, Release, and Identification of Newly Synthesized Proteins for Improved Profiling of Functional Translatomes. Molecular & Cellular Proteomics. 22(3). 100497–100497. 3 indexed citations

Subramanian, Advait, Lan Wang, Tom Moss, et al.. (2023). A Legionella toxin exhibits tRNA mimicry and glycosyl transferase activity to target the translation machinery and trigger a ribotoxic stress response. Nature Cell Biology. 25(11). 1600–1615. 11 indexed citations

Bi, Yang, Ruben Shrestha, Zhenzhen Zhang, et al.. (2023). SPINDLY mediates O-fucosylation of hundreds of proteins and sugar-dependent growth in Arabidopsis. The Plant Cell. 35(5). 1318–1333. 19 indexed citations

Hertz, Nicholas T., et al.. (2023). Chemical Genetic Identification of PKC Epsilon Substrates in Mouse Brain. Molecular & Cellular Proteomics. 22(4). 100522–100522. 3 indexed citations

Sun, Xiaoxiao, Heinz Hammerlindl, Robert J. Chalkley, et al.. (2022). Modulating environmental signals to reveal mechanisms and vulnerabilities of cancer persisters. Science Advances. 8(4). eabi7711–eabi7711. 8 indexed citations

Shrestha, Ruben, et al.. (2022). 15N Metabolic Labeling Quantification Workflow in Arabidopsis Using Protein Prospector. Frontiers in Plant Science. 13. 832562–832562. 14 indexed citations

Chalkley, Robert J., Katalin F. Medzihradszky, Zsuzsanna Darula, Ádám Pap, & Peter R. Baker. (2020). The effectiveness of filtering glycopeptide peak list files for Y ions. Molecular Omics. 16(2). 147–155. 16 indexed citations

Xu, Shou‐Ling, Robert J. Chalkley, Jason C. Maynard, et al.. (2017). Proteomic analysis reveals O-GlcNAc modification on proteins with key regulatory functions in Arabidopsis. Proceedings of the National Academy of Sciences. 114(8). E1536–E1543. 91 indexed citations

10.

Xu, Shou‐Ling, Katalin F. Medzihradszky, Zhiyong Wang, Alma L. Burlingame, & Robert J. Chalkley. (2016). N-Glycopeptide Profiling in Arabidopsis Inflorescence. Molecular & Cellular Proteomics. 15(6). 2048–2054. 40 indexed citations

11.

Bradshaw, Ralph, Jay Pundavela, Jordane Biarc, et al.. (2014). NGF and ProNGF: Regulation of neuronal and neoplastic responses through receptor signaling. Advances in Biological Regulation. 58. 16–27. 94 indexed citations

12.

Ni, Weimin, Shou‐Ling Xu, Robert J. Chalkley, et al.. (2013). Multisite Light-Induced Phosphorylation of the Transcription Factor PIF3 Is Necessary for Both Its Rapid Degradation and Concomitant Negative Feedback Modulation of Photoreceptor phyB Levels in Arabidopsis . The Plant Cell. 25(7). 2679–2698. 127 indexed citations

13.

Medzihradszky, Katalin F. & Robert J. Chalkley. (2013). Lessons in de novo peptide sequencing by tandem mass spectrometry. Mass Spectrometry Reviews. 34(1). 43–63. 168 indexed citations

14.

Ilagan, Janine O., Robert J. Chalkley, Alma L. Burlingame, & Melissa S. Jurica. (2013). Rearrangements within human spliceosomes captured after exon ligation. RNA. 19(3). 400–412. 37 indexed citations

15.

Martens, Lennart, Manor Askenazi, Nuno Bandeira, et al.. (2011). iPRG 2011: A study on the identification of electron transfer dissociation (ETD) mass spectra. Journal of Biomolecular Techniques JBT. 22. 3 indexed citations

16.

Effenberger, Kerstin A., et al.. (2011). Breaking Up the C Complex Spliceosome Shows Stable Association of Proteins with the Lariat Intron Intermediate. PLoS ONE. 6(4). e19061–e19061. 9 indexed citations

17.

Baker, Peter R., Katalin F. Medzihradszky, & Robert J. Chalkley. (2010). Improving Software Performance for Peptide Electron Transfer Dissociation Data Analysis by Implementation of Charge State- and Sequence-Dependent Scoring. Molecular & Cellular Proteomics. 9(9). 1795–1803. 48 indexed citations

18.

Hirsch, Ján, Kirk C. Hansen, Anil Sapru, et al.. (2007). Impact of Low and High Tidal Volumes on the Rat Alveolar Epithelial Type II Cell Proteome. American Journal of Respiratory and Critical Care Medicine. 175(10). 1006–1013. 11 indexed citations

19.

Deng, Zhiping, Xin Zhang, Wenqiang Tang, et al.. (2007). A Proteomics Study of Brassinosteroid Response in Arabidopsis. Molecular & Cellular Proteomics. 6(12). 2058–2071. 151 indexed citations

20.

Chu, Feixia, Dmitri A. Nusinow, Robert J. Chalkley, et al.. (2005). Mapping Post-translational Modifications of the Histone Variant MacroH2A1 Using Tandem Mass Spectrometry. Molecular & Cellular Proteomics. 5(1). 194–203. 62 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.

Explore authors with similar magnitude of impact