Samuel Payne

15.2k total citations
108 papers, 4.0k citations indexed

About

Samuel Payne is a scholar working on Molecular Biology, Spectroscopy and Surgery. According to data from OpenAlex, Samuel Payne has authored 108 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 52 papers in Spectroscopy and 12 papers in Surgery. Recurrent topics in Samuel Payne's work include Advanced Proteomics Techniques and Applications (45 papers), Mass Spectrometry Techniques and Applications (31 papers) and Metabolomics and Mass Spectrometry Studies (22 papers). Samuel Payne is often cited by papers focused on Advanced Proteomics Techniques and Applications (45 papers), Mass Spectrometry Techniques and Applications (31 papers) and Metabolomics and Mass Spectrometry Studies (22 papers). Samuel Payne collaborates with scholars based in United States, United Kingdom and Germany. Samuel Payne's co-authors include Vineet Bafna, Richard Smith, Huilin Zhou, Marcus B. Smolka, Jimmy K. Eng, Claudio P. Albuquerque, William F. Loomis, Steven P. Briggs, Zhouxin Shen and Natalie Castellana and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Samuel Payne

105 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Payne United States 34 2.7k 1.6k 325 240 224 108 4.0k
José A. Dianes United Kingdom 8 3.2k 1.2× 1000 0.6× 299 0.9× 140 0.6× 391 1.7× 11 5.0k
Knut Reinert Germany 37 3.9k 1.4× 1.3k 0.8× 291 0.9× 171 0.7× 1.0k 4.6× 124 5.0k
Bin Ma Canada 23 2.6k 1.0× 1.5k 1.0× 131 0.4× 62 0.3× 302 1.3× 65 3.6k
Si‐Min He China 29 2.6k 1.0× 1.6k 1.0× 75 0.2× 37 0.2× 146 0.7× 77 3.3k
Lars Malmström Sweden 33 2.7k 1.0× 1.3k 0.8× 157 0.5× 79 0.3× 146 0.7× 100 3.8k
Marc van Dijk Netherlands 18 3.5k 1.3× 240 0.2× 221 0.7× 121 0.5× 401 1.8× 33 4.7k
Ludovic Gillet Switzerland 28 4.7k 1.7× 3.0k 1.9× 114 0.4× 227 0.9× 310 1.4× 39 6.3k
Si Wu United States 33 1.9k 0.7× 1.6k 1.0× 91 0.3× 365 1.5× 115 0.5× 145 3.7k
Nuno Bandeira United States 37 3.9k 1.4× 2.0k 1.3× 285 0.9× 202 0.8× 224 1.0× 81 5.1k
Chris Taylor United Kingdom 24 1.8k 0.7× 664 0.4× 178 0.5× 120 0.5× 135 0.6× 71 2.5k

Countries citing papers authored by Samuel Payne

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Payne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Payne. 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 Samuel Payne. The network helps show where Samuel Payne may publish in the future.

Co-authorship network of co-authors of Samuel Payne

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Payne. A scholar is included among the top collaborators of Samuel Payne 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 Samuel Payne. Samuel Payne 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.
Miller, Justin, J. Anthony Brandon, Samuel Payne, et al.. (2025). Ramp Sequence May Explain Synonymous Variant Association with Alzheimer’s Disease in the Paired Immunoglobulin-like Type 2 Receptor Alpha (PILRA). Biomedicines. 13(3). 739–739. 2 indexed citations
2.
Walukiewicz, Hanna E., Meagan Burnet, Hyeyoon Kim, et al.. (2024). Regulation of bacterial stringent response by an evolutionarily conserved ribosomal protein L11 methylation. mBio. 15(10). e0177324–e0177324. 1 indexed citations
3.
Truong, Thy, Kei G. I. Webber, Hannah Boekweg, et al.. (2023). Data‐Dependent Acquisition with Precursor Coisolation Improves Proteome Coverage and Measurement Throughput for Label‐Free Single‐Cell Proteomics**. Angewandte Chemie. 135(34). 9 indexed citations
4.
Truong, Thy, Kei G. I. Webber, Hannah Boekweg, et al.. (2023). Data‐Dependent Acquisition with Precursor Coisolation Improves Proteome Coverage and Measurement Throughput for Label‐Free Single‐Cell Proteomics**. Angewandte Chemie International Edition. 62(34). e202303415–e202303415. 33 indexed citations
5.
Neely, Benjamin A., Viktoria Dorfer, Lennart Martens, et al.. (2023). Toward an Integrated Machine Learning Model of a Proteomics Experiment. Journal of Proteome Research. 22(3). 681–696. 35 indexed citations
6.
Vallejo, Milene C., Fei Huang, Samuel Payne, et al.. (2023). A proteomic meta-analysis refinement of plasma extracellular vesicles. Scientific Data. 10(1). 837–837. 16 indexed citations
7.
Payne, Samuel, et al.. (2023). Short-term Satisfaction, Psychosocial Impact, and Complication Profile of Reduction Mammaplasty During Adolescence. Aesthetic Surgery Journal. 43(7). NP484–NP491. 4 indexed citations
8.
Lee, Joon‐Yong, Hugh Mitchell, Meagan Burnet, et al.. (2022). Uncovering Hidden Members and Functions of the Soil Microbiome Using De Novo Metaproteomics. Journal of Proteome Research. 21(8). 2023–2035. 12 indexed citations
9.
Boekweg, Hannah, Thy Truong, Amanda J. Guise, et al.. (2021). Features of Peptide Fragmentation Spectra in Single-Cell Proteomics. Journal of Proteome Research. 21(1). 182–188. 24 indexed citations
10.
Pena, Aivett Bilbao, Sarah M. Stow, Jennifer Kyle, et al.. (2021). A Preprocessing Tool for Enhanced Ion Mobility–Mass Spectrometry-Based Omics Workflows. Journal of Proteome Research. 21(3). 798–807. 67 indexed citations
11.
Huang, Kuan‐lin, Adam Scott, Daniel Cui Zhou, et al.. (2021). Spatially interacting phosphorylation sites and mutations in cancer. Nature Communications. 12(1). 2313–2313. 13 indexed citations
12.
Boekweg, Hannah, Amanda J. Guise, Edward D. Plowey, Ryan Kelly, & Samuel Payne. (2021). Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics. Molecular & Cellular Proteomics. 20. 100085–100085. 10 indexed citations
13.
Ma, Hongyu, et al.. (2019). Bacterial Longevity Requires Protein Synthesis and a Stringent Response. mBio. 10(5). 20 indexed citations
14.
Schaffer, Leah V., Robert J. Millikin, Rachel Miller, et al.. (2019). Identification and Quantification of Proteoforms by Mass Spectrometry. PMC.
15.
Christensen, David G., Jesse G. Meyer, Alexandria K. D’Souza, et al.. (2018). Identification of Novel Protein Lysine Acetyltransferases in Escherichia coli. mBio. 9(5). 85 indexed citations
16.
Piehowski, Paul, Mowei Zhou, Grant M. Fujimoto, et al.. (2017). Informed-Proteomics: open-source software package for top-down proteomics. Nature Methods. 14(9). 909–914. 118 indexed citations
17.
Ruggles, Kelly V., Karsten Krug, Xiaojing Wang, et al.. (2017). Methods, Tools and Current Perspectives in Proteogenomics. Molecular & Cellular Proteomics. 16(6). 959–981. 104 indexed citations
18.
Seiler, John R., et al.. (2017). Normal Palmar Anatomy and Variations That Impact Median Nerve Decompression. Journal of the American Academy of Orthopaedic Surgeons. 25(9). e194–e203. 12 indexed citations
19.
Ansong, Charles, Corrie Ortega, Samuel Payne, et al.. (2013). Identification of Widespread Adenosine Nucleotide Binding in Mycobacterium tuberculosis. Chemistry & Biology. 20(1). 123–133. 42 indexed citations
20.
Castellana, Natalie, Samuel Payne, Zhouxin Shen, et al.. (2008). Discovery and revision of Arabidopsis genes by proteogenomics. Proceedings of the National Academy of Sciences. 105(52). 21034–21038. 213 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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