Theodore R. Keppel

543 total citations
15 papers, 383 citations indexed

About

Theodore R. Keppel is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Theodore R. Keppel has authored 15 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Spectroscopy and 3 papers in Materials Chemistry. Recurrent topics in Theodore R. Keppel's work include Mass Spectrometry Techniques and Applications (5 papers), Protein Structure and Dynamics (4 papers) and Enzyme Structure and Function (3 papers). Theodore R. Keppel is often cited by papers focused on Mass Spectrometry Techniques and Applications (5 papers), Protein Structure and Dynamics (4 papers) and Enzyme Structure and Function (3 papers). Theodore R. Keppel collaborates with scholars based in United States, Mongolia and Canada. Theodore R. Keppel's co-authors include David D. Weis, Rebekah L. Gundry, K. Ratzlaff, John R. Barr, Maria I. Solano, Jakub Baudys, Jonathan L. Bundy, R. W. Young, Matthew Waas and Jian Zhu and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Analytical Chemistry.

In The Last Decade

Theodore R. Keppel

15 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Theodore R. Keppel United States	12	266	162	59	43	41	15	383
Bhaswati Chatterjee India	9	340 1.3×	226 1.4×	16 0.3×	51 1.2×	19 0.5×	21	525
Esben Trabjerg Denmark	6	166 0.6×	95 0.6×	19 0.3×	33 0.8×	46 1.1×	9	268
Mukesh Mahajan United States	14	296 1.1×	41 0.3×	24 0.4×	40 0.9×	30 0.7×	22	439
Christopher R. Morgan United States	8	225 0.8×	155 1.0×	23 0.4×	27 0.6×	16 0.4×	10	337
Alexandria K. D’Souza United States	11	287 1.1×	56 0.3×	29 0.5×	16 0.4×	20 0.5×	11	392
Eli J. Larson United States	10	282 1.1×	310 1.9×	20 0.3×	22 0.5×	52 1.3×	19	467
Sudha Rajagopalan India	4	261 1.0×	330 2.0×	45 0.8×	20 0.5×	10 0.2×	6	536
William Burkitt United Kingdom	11	322 1.2×	243 1.5×	20 0.3×	10 0.2×	86 2.1×	16	469
Terry Zhang United States	13	279 1.0×	188 1.2×	14 0.2×	11 0.3×	49 1.2×	17	450
Neeraj K. Mishra United States	11	390 1.5×	30 0.2×	53 0.9×	34 0.8×	21 0.5×	19	517

Countries citing papers authored by Theodore R. Keppel

Since Specialization

Citations

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

Fields of papers citing papers by Theodore R. Keppel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Theodore R. Keppel. 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 Theodore R. Keppel. The network helps show where Theodore R. Keppel may publish in the future.

Co-authorship network of co-authors of Theodore R. Keppel

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

All Works

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15 of 15 papers shown

Wang, Dongxia, Bin Zhou, Theodore R. Keppel, et al.. (2021). N-glycosylation profiles of the SARS-CoV-2 spike D614G mutant and its ancestral protein characterized by advanced mass spectrometry. Scientific Reports. 11(1). 23561–23561. 12 indexed citations

Kanack, Adam J., Vinayak Vittal, Theodore R. Keppel, et al.. (2020). UbcH5 Interacts with Substrates to Participate in Lysine Selection with the E3 Ubiquitin Ligase CHIP. Biochemistry. 59(22). 2078–2088. 7 indexed citations

Fehrenbach, Daniel J., Justine M. Abais‐Battad, John Henry Dasinger, et al.. (2020). Sexual Dimorphic Role of CD14 (Cluster of Differentiation 14) in Salt-Sensitive Hypertension and Renal Injury. Hypertension. 77(1). 228–240. 12 indexed citations

Keppel, Theodore R., Matthew Waas, Alexander E Salmon, et al.. (2020). Quantitative proteomic analysis of aqueous humor after rabbit lensectomy reveals differences in coagulation and immunomodulatory proteins. Molecular Omics. 16(2). 126–137. 6 indexed citations

Baudys, Jakub, et al.. (2020). Comprehensive Analysis of the Glycan Complement of SARS-CoV-2 Spike Proteins Using Signature Ions-Triggered Electron-Transfer/Higher-Energy Collisional Dissociation (EThcD) Mass Spectrometry. Analytical Chemistry. 92(21). 14730–14739. 39 indexed citations

Keppel, Theodore R., Amanda R. Buchberger, Matthew Waas, et al.. (2020). Discovery and validation of surface N-glycoproteins in MM cell lines and patient samples uncovers immunotherapy targets. Journal for ImmunoTherapy of Cancer. 8(2). e000915–e000915. 14 indexed citations

Moehring, Francie, Matthew Waas, Theodore R. Keppel, et al.. (2018). Quantitative Top-Down Mass Spectrometry Identifies Proteoforms Differentially Released during Mechanical Stimulation of Mouse Skin. Journal of Proteome Research. 17(8). 2635–2648. 5 indexed citations

Haverland, Nicole A., Matthew Waas, Ioanna Ntai, et al.. (2017). Cell Surface Proteomics of N‐Linked Glycoproteins for Typing of Human Lymphocytes. PROTEOMICS. 17(19). 19 indexed citations

Keppel, Theodore R., et al.. (2016). Biophysical Evidence for Intrinsic Disorder in the C-terminal Tails of the Epidermal Growth Factor Receptor (EGFR) and HER3 Receptor Tyrosine Kinases. Journal of Biological Chemistry. 292(2). 597–610. 24 indexed citations

10.

Keppel, Theodore R. & David D. Weis. (2014). Mapping Residual Structure in Intrinsically Disordered Proteins at Residue Resolution Using Millisecond Hydrogen/Deuterium Exchange and Residue Averaging. Journal of the American Society for Mass Spectrometry. 26(4). 547–554. 60 indexed citations

11.

DiPrimio, Nina, Theodore R. Keppel, Keith Fraser, et al.. (2013). The Designability of Protein Switches by Chemical Rescue of Structure: Mechanisms of Inactivation and Reactivation. Journal of the American Chemical Society. 135(50). 18840–18849. 26 indexed citations

12.

Keppel, Theodore R. & David D. Weis. (2013). Analysis of Disordered Proteins Using a Simple Apparatus for Millisecond Quench-Flow H/D Exchange. Analytical Chemistry. 85(10). 5161–5168. 34 indexed citations

13.

Keppel, Theodore R., et al.. (2011). Mapping Unstructured Regions and Synergistic Folding in Intrinsically Disordered Proteins with Amide H/D Exchange Mass Spectrometry. Biochemistry. 50(40). 8722–8732. 67 indexed citations

14.

Keppel, Theodore R., et al.. (2011). An Efficient and Inexpensive Refrigerated LC System for H/D Exchange Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 22(8). 1472–1476. 33 indexed citations

15.

Keppel, Theodore R., et al.. (2009). The use of acetone as a substitute for acetonitrile in analysis of peptides by liquid chromatography/electrospray ionization mass spectrometry. Rapid Communications in Mass Spectrometry. 24(1). 6–10. 25 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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