Richard W. Vachet

9.1k total citations · 1 hit paper
173 papers, 7.5k citations indexed

About

Richard W. Vachet is a scholar working on Spectroscopy, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Richard W. Vachet has authored 173 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Spectroscopy, 59 papers in Molecular Biology and 25 papers in Computational Mechanics. Recurrent topics in Richard W. Vachet's work include Mass Spectrometry Techniques and Applications (99 papers), Advanced Proteomics Techniques and Applications (41 papers) and Analytical Chemistry and Chromatography (26 papers). Richard W. Vachet is often cited by papers focused on Mass Spectrometry Techniques and Applications (99 papers), Advanced Proteomics Techniques and Applications (41 papers) and Analytical Chemistry and Chromatography (26 papers). Richard W. Vachet collaborates with scholars based in United States, Thailand and China. Richard W. Vachet's co-authors include Gary L. Glish, Vincent M. Rotello, Bo Yan, Zheng‐Jiang Zhu, G. D. Wígnall, Neal D. Evans, Marc D. Porter, Chuan‐Jian Zhong, Royce W. Murray and J. D. Londono and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Environmental Science & Technology.

In The Last Decade

Richard W. Vachet

169 papers receiving 7.3k citations

Hit Papers

Alkanethiolate Gold Clust... 1998 2026 2007 2016 1998 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard W. Vachet United States 42 2.5k 2.5k 2.3k 1.3k 1.2k 173 7.5k
Wei‐Lung Tseng Taiwan 51 2.7k 1.1× 1.5k 0.6× 3.8k 1.7× 1.3k 1.0× 2.0k 1.6× 198 7.5k
Ryuichi Arakawa Japan 48 1.0k 0.4× 2.5k 1.0× 2.3k 1.0× 1.3k 1.0× 792 0.6× 243 8.3k
Hui Zhang China 44 3.3k 1.3× 2.3k 0.9× 1.3k 0.6× 1.3k 1.0× 1.9k 1.5× 242 8.2k
Yong‐Ill Lee South Korea 48 1.1k 0.4× 951 0.4× 3.4k 1.5× 718 0.6× 1.5k 1.2× 338 7.9k
Marco Frasconi Italy 39 1.2k 0.5× 742 0.3× 2.7k 1.2× 1.2k 1.0× 1.6k 1.3× 105 6.2k
Santiago Sánchez‐Cortés Spain 52 2.3k 0.9× 421 0.2× 2.5k 1.1× 3.7k 2.9× 2.0k 1.6× 251 8.6k
Chrys Wesdemiotis United States 60 1.8k 0.7× 4.8k 1.9× 3.1k 1.3× 412 0.3× 1.0k 0.8× 326 11.6k
Sichun Zhang China 45 2.2k 0.9× 2.8k 1.1× 1.7k 0.7× 324 0.3× 2.1k 1.7× 160 6.5k
José Vicente García‐Ramos Spain 47 1.8k 0.7× 401 0.2× 2.3k 1.0× 3.4k 2.6× 1.8k 1.5× 175 7.1k
Zygmunt Gryczyński United States 48 3.9k 1.5× 854 0.3× 2.2k 1.0× 2.1k 1.7× 3.1k 2.5× 367 9.1k

Countries citing papers authored by Richard W. Vachet

Since Specialization
Citations

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

Fields of papers citing papers by Richard W. Vachet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard W. Vachet. 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 Richard W. Vachet. The network helps show where Richard W. Vachet may publish in the future.

Co-authorship network of co-authors of Richard W. Vachet

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

All Works

20 of 20 papers shown
1.
Zhang, Xianzhi, et al.. (2025). Image Fusion for Improving the Spatial Resolution of LA-ICP-MS Imaging. Analytical Chemistry. 97(27). 14557–14564.
2.
Ashby, Jonathan, et al.. (2024). Investigating Protein-Nucleic Acid Binding Interactions with Diethylpyrocarbonate Covalent Labeling–Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 35(10). 2272–2275.
3.
Park, Jungmi, Ahmed Nabawy, Mingdi Jiang, et al.. (2023). Synergistic Treatment of Multidrug-Resistant Bacterial Biofilms Using Silver Nanoclusters Incorporated into Biodegradable Nanoemulsions. ACS Applied Materials & Interfaces. 15(31). 37205–37213. 8 indexed citations
5.
Vachet, Richard W., et al.. (2021). Covalent Labeling with Diethylpyrocarbonate for Studying Protein Higher-Order Structure by Mass Spectrometry. Journal of Visualized Experiments. 5 indexed citations
6.
Pan, Xiao, et al.. (2021). Distinguishing Histidine Tautomers in Proteins Using Covalent Labeling-Mass Spectrometry. Analytical Chemistry. 94(2). 1003–1010. 7 indexed citations
7.
Cao‐Milán, Roberto, S. Gopalakrishnan, Rui Huang, et al.. (2020). Thermally Gated Bio-orthogonal Nanozymes with Supramolecularly Confined Porphyrin Catalysts for Antimicrobial Uses. Chem. 6(5). 1113–1124. 80 indexed citations
8.
Zhao, Bo, et al.. (2020). Polymeric nanoassemblies for enrichment and detection of peptides and proteins in human breast milk. Analytical and Bioanalytical Chemistry. 412(5). 1027–1035. 6 indexed citations
9.
Drews, Thomas, et al.. (2020). Epigallocatechin-3-gallate Inhibits Cu(II)-Induced β-2-Microglobulin Amyloid Formation by Binding to the Edge of Its β-Sheets. Biochemistry. 59(10). 1093–1103. 5 indexed citations
10.
Liu, Tianying, et al.. (2020). Protein–Ligand Affinity Determinations Using Covalent Labeling-Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 31(7). 1544–1553. 11 indexed citations
11.
Fahie, Monifa A., et al.. (2018). Disruption of the open conductance in the β-tongue mutants of Cytolysin A. Scientific Reports. 8(1). 3796–3796. 3 indexed citations
12.
Wang, Lisheng, Bradley Duncan, Rui Tang, et al.. (2016). Gradient and Patterned Protein Films Stabilized via Nanoimprint Lithography for Engineered Interactions with Cells. ACS Applied Materials & Interfaces. 9(1). 42–46. 15 indexed citations
13.
Chailapakul, O., Nadtinan Promphet, Ratthapol Rangkupan, et al.. (2014). Graphene-Loaded Nanofiber-Modified Electrode: A Novel and Sensitive Electrochemical Detection System. TechConnect Briefs. 1(2014). 72–75. 1 indexed citations
14.
Zhou, Yuping & Richard W. Vachet. (2013). Covalent Labeling with Isotopically Encoded Reagents for Faster Structural Analysis of Proteins by Mass Spectrometry. Analytical Chemistry. 85(20). 9664–9670. 21 indexed citations
15.
Yan, Bo, Youngdo Jeong, Luiza A. Mercante, et al.. (2013). Characterization of surface ligands on functionalized magnetic nanoparticles using laser desorption/ionization mass spectrometry (LDI-MS). Nanoscale. 5(11). 5063–5063. 29 indexed citations
16.
Creran, Brian, Bo Yan, Daniel F. Moyano, et al.. (2012). Laser desorption ionization mass spectrometric imaging of mass barcoded gold nanoparticles for security applications. Chemical Communications. 48(38). 4543–4543. 39 indexed citations
17.
Zhu, Zheng‐Jiang, Tamara Posati, Daniel F. Moyano, et al.. (2012). The Interplay of Monolayer Structure and Serum Protein Interactions on the Cellular Uptake of Gold Nanoparticles. Small. 8(17). 2659–2663. 71 indexed citations
19.
Rapole, Srikanth, et al.. (2008). Cu(II) organizes β‐2‐microglobulin oligomers but is released upon amyloid formation. Protein Science. 17(4). 748–759. 34 indexed citations
20.
Vachet, Richard W., Judith Ann R. Hartman, & John H. Callahan. (1998). Ion-molecule reactions in a quadrupole ion trap as a probe of the gas-phase structure of metal complexes. Journal of Mass Spectrometry. 33(12). 1209–1225. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026