Karl A.T. Makepeace

573 total citations
15 papers, 429 citations indexed

About

Karl A.T. Makepeace is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Karl A.T. Makepeace has authored 15 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Spectroscopy and 4 papers in Materials Chemistry. Recurrent topics in Karl A.T. Makepeace's work include Metabolomics and Mass Spectrometry Studies (7 papers), Advanced Proteomics Techniques and Applications (6 papers) and Mass Spectrometry Techniques and Applications (6 papers). Karl A.T. Makepeace is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (7 papers), Advanced Proteomics Techniques and Applications (6 papers) and Mass Spectrometry Techniques and Applications (6 papers). Karl A.T. Makepeace collaborates with scholars based in Canada, United States and Germany. Karl A.T. Makepeace's co-authors include Evgeniy V. Petrotchenko, Christoph H. Borchers, Jason J. Serpa, James C.A. Bardwell, Scott Horowitz, Nikolay V. Dokholyan, Konstantin I. Popov, Ursula Jakob, Calvin K. Yip and Frank DiMaio and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and eLife.

In The Last Decade

Karl A.T. Makepeace

15 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karl A.T. Makepeace Canada	12	282	112	72	65	60	15	429
Sarah L. Rouse United Kingdom	13	563 2.0×	137 1.2×	55 0.8×	38 0.6×	15 0.3×	37	769
Zsófia Sólyom France	9	373 1.3×	130 1.2×	107 1.5×	39 0.6×	24 0.4×	11	495
Célia Caillet‐Saguy France	16	333 1.2×	34 0.3×	29 0.4×	108 1.7×	138 2.3×	27	583
Steven E. Seifried United States	14	448 1.6×	46 0.4×	52 0.7×	35 0.5×	101 1.7×	24	602
Chi T. Wong United Kingdom	8	332 1.2×	26 0.2×	110 1.5×	31 0.5×	55 0.9×	8	501
Georgina Garza‐Ramos Mexico	17	554 2.0×	29 0.3×	163 2.3×	133 2.0×	43 0.7×	34	756
Exequiel Barrera Argentina	12	317 1.1×	29 0.3×	63 0.9×	35 0.5×	22 0.4×	27	440
Angela Morrone Italy	11	438 1.6×	44 0.4×	213 3.0×	32 0.5×	16 0.3×	13	514
Bob Schiffrin United Kingdom	12	471 1.7×	47 0.4×	73 1.0×	12 0.2×	17 0.3×	13	630

Countries citing papers authored by Karl A.T. Makepeace

Since Specialization

Citations

This map shows the geographic impact of Karl A.T. Makepeace'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 Karl A.T. Makepeace with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl A.T. Makepeace more than expected).

Fields of papers citing papers by Karl A.T. Makepeace

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karl A.T. Makepeace. 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 Karl A.T. Makepeace. The network helps show where Karl A.T. Makepeace may publish in the future.

Co-authorship network of co-authors of Karl A.T. Makepeace

This figure shows the co-authorship network connecting the top 25 collaborators of Karl A.T. Makepeace. A scholar is included among the top collaborators of Karl A.T. Makepeace 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 Karl A.T. Makepeace. Karl A.T. Makepeace 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

Makepeace, Karl A.T., Badri N. Vardarajan, Min Suk Kang, et al.. (2024). Data‐Independent Acquisition and Label‐Free Quantification for Quantitative Proteomics Analysis of Human Cerebrospinal Fluid. Current Protocols. 4(3). e1014–e1014. 1 indexed citations

Makepeace, Karl A.T., Yassene Mohammed, Elena L. Rudashevskaya, et al.. (2020). Improving Identification of In-organello Protein-Protein Interactions Using an Affinity-enrichable, Isotopically Coded, and Mass Spectrometry-cleavable Chemical Crosslinker. Molecular & Cellular Proteomics. 19(4). 624–639. 31 indexed citations

Popov, Konstantin I., Karl A.T. Makepeace, Evgeniy V. Petrotchenko, Nikolay V. Dokholyan, & Christoph H. Borchers. (2019). Insight into the Structure of the “Unstructured” Tau Protein. Structure. 27(11). 1710–1715.e4. 38 indexed citations

Makepeace, Karl A.T., Konstantin I. Popov, Christopher J. Nelson, et al.. (2019). Ligand-induced disorder-to-order transitions characterized by structural proteomics and molecular dynamics simulations. Journal of Proteomics. 211. 103544–103544. 13 indexed citations

Tse, Eric, Helena Castro, Karl A.T. Makepeace, et al.. (2019). Chaperone activation and client binding of a 2-cysteine peroxiredoxin. Nature Communications. 10(1). 659–659. 29 indexed citations

Horowitz, Scott, Karl A.T. Makepeace, Evgeniy V. Petrotchenko, et al.. (2016). Protein unfolding as a switch from self-recognition to high-affinity client binding. Nature Communications. 7(1). 10357–10357. 35 indexed citations

Makepeace, Karl A.T., Jason J. Serpa, Evgeniy V. Petrotchenko, & Christoph H. Borchers. (2015). Comprehensive identification of disulfide bonds using non-specific proteinase K digestion and CID-cleavable crosslinking analysis methodology for Orbitrap LC/ESI-MS/MS data. Methods. 89. 74–78. 5 indexed citations

Solomonson, Matthew, Dheva Setiaputra, Karl A.T. Makepeace, et al.. (2015). Structure of EspB from the ESX-1 Type VII Secretion System and Insights into its Export Mechanism. Structure. 23(3). 571–583. 70 indexed citations

Quan, Shu, Lili Wang, Evgeniy V. Petrotchenko, et al.. (2014). Super Spy variants implicate flexibility in chaperone action. eLife. 3. e01584–e01584. 47 indexed citations

10.

Petrotchenko, Evgeniy V., Karl A.T. Makepeace, Jason J. Serpa, & Christoph H. Borchers. (2014). Analysis of Protein Structure by Cross-Linking Combined with Mass Spectrometry. Methods in molecular biology. 1156. 447–463. 17 indexed citations

11.

Petrotchenko, Evgeniy V., et al.. (2014). 14N15N DXMSMS Match program for the automated analysis of LC/ESI-MS/MS crosslinking data from experiments using 15N metabolically labeled proteins. Journal of Proteomics. 109. 104–110. 17 indexed citations

12.

Makepeace, Karl A.T., et al.. (2014). Isotopically-coded short-range hetero-bifunctional photo-reactive crosslinkers for studying protein structure. Journal of Proteomics. 118. 12–20. 46 indexed citations

13.

Petrotchenko, Evgeniy V., Karl A.T. Makepeace, & Christoph H. Borchers. (2014). DXMSMS Match Program for Automated Analysis of LC‐MS/MS Data Obtained Using Isotopically Coded CID‐Cleavable Cross‐Linking Reagents. Current Protocols in Bioinformatics. 48(1). 8.18.1–8.18.19. 20 indexed citations

14.

Serpa, Jason J., et al.. (2013). Using isotopically-coded hydrogen peroxide as a surface modification reagent for the structural characterization of prion protein aggregates. Journal of Proteomics. 100. 160–166. 8 indexed citations

15.

Tonkin, Michelle L., Jason J. Serpa, Karl A.T. Makepeace, et al.. (2013). Structural and Biochemical Characterization of Plasmodium falciparum 12 (Pf12) Reveals a Unique Interdomain Organization and the Potential for an Antiparallel Arrangement with Pf41. Journal of Biological Chemistry. 288(18). 12805–12817. 52 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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