Péter Nemes

5.7k total citations · 1 hit paper
79 papers, 4.4k citations indexed

About

Péter Nemes is a scholar working on Spectroscopy, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Péter Nemes has authored 79 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Spectroscopy, 42 papers in Molecular Biology and 14 papers in Computational Mechanics. Recurrent topics in Péter Nemes's work include Mass Spectrometry Techniques and Applications (59 papers), Advanced Proteomics Techniques and Applications (33 papers) and Metabolomics and Mass Spectrometry Studies (23 papers). Péter Nemes is often cited by papers focused on Mass Spectrometry Techniques and Applications (59 papers), Advanced Proteomics Techniques and Applications (33 papers) and Metabolomics and Mass Spectrometry Studies (23 papers). Péter Nemes collaborates with scholars based in United States, Hungary and Russia. Péter Nemes's co-authors include Ákos Vértes, Sally A. Moody, Jonathan V. Sweedler, Camille Lombard‐Banek, Stanislav S. Rubakhin, Rosemary M. Onjiko, Alexis A. Barton, Ioan Marginean, Elena V. Romanova and Erika P. Portero and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Angewandte Chemie International Edition.

In The Last Decade

Péter Nemes

77 papers receiving 4.3k citations

Hit Papers

Laser Ablation Electrospray Ionization for Atmospheric Pr... 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Péter Nemes United States 34 3.2k 2.1k 1.0k 756 351 79 4.4k
Mikhail E. Belov United States 39 3.1k 1.0× 2.0k 1.0× 478 0.5× 463 0.6× 380 1.1× 66 3.8k
Shane R. Ellis Netherlands 32 2.0k 0.6× 1.9k 0.9× 195 0.2× 347 0.5× 121 0.3× 95 3.1k
James H. Scrivens United Kingdom 39 3.6k 1.1× 1.8k 0.9× 414 0.4× 730 1.0× 755 2.2× 109 4.8k
Michelle L. Reyzer United States 27 2.3k 0.7× 1.9k 0.9× 212 0.2× 457 0.6× 204 0.6× 52 3.5k
Stephen J. Valentine United States 39 4.3k 1.4× 2.0k 1.0× 538 0.5× 662 0.9× 506 1.4× 123 5.1k
Michael E. Kurczy Sweden 23 603 0.2× 1.1k 0.5× 315 0.3× 377 0.5× 145 0.4× 43 2.0k
Eckhard Nordhoff Germany 34 2.4k 0.7× 2.7k 1.3× 498 0.5× 363 0.5× 200 0.6× 56 4.6k
Eugen Damoc Germany 29 2.3k 0.7× 2.4k 1.2× 401 0.4× 218 0.3× 235 0.7× 47 4.0k
Kathrin Breuker Austria 39 3.5k 1.1× 2.6k 1.2× 211 0.2× 661 0.9× 202 0.6× 102 4.8k
Melvin A. Park United States 32 2.9k 0.9× 2.2k 1.1× 299 0.3× 385 0.5× 393 1.1× 56 3.9k

Countries citing papers authored by Péter Nemes

Since Specialization
Citations

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

Fields of papers citing papers by Péter Nemes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Péter Nemes

This figure shows the co-authorship network connecting the top 25 collaborators of Péter Nemes. A scholar is included among the top collaborators of Péter Nemes 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 Péter Nemes. Péter Nemes 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
2.
Shen, Bowen, Jerry Yongqiang Chen, & Péter Nemes. (2024). Electrophoresis-Correlative Data-Independent Acquisition (Eco-DIA) Improves the Sensitivity of Mass Spectrometry for Limited Proteome Amounts. Analytical Chemistry. 96(39). 15581–15587. 5 indexed citations
3.
Shen, Bo‐Wen, et al.. (2024). Data-Independent Acquisition Shortens the Analytical Window of Single-Cell Proteomics to Fifteen Minutes in Capillary Electrophoresis Mass Spectrometry. Journal of Proteome Research. 24(4). 1549–1559. 8 indexed citations
4.
Taneyhill, Lisa A., et al.. (2023). Deep Proteome of the Developing Chick Midbrain. Journal of Proteome Research. 22(10). 3264–3274. 2 indexed citations
6.
Nemes, Péter, et al.. (2022). Cell-Lineage Guided Mass Spectrometry Proteomics in the Developing (Frog) Embryo. Journal of Visualized Experiments. 2 indexed citations
8.
Lombard‐Banek, Camille, et al.. (2021). In Vivo Subcellular Mass Spectrometry Enables Proteo‐Metabolomic Single‐Cell Systems Biology in a Chordate Embryo Developing to a Normally Behaving Tadpole ( X. laevis )**. Angewandte Chemie International Edition. 60(23). 12852–12858. 61 indexed citations
9.
Lombard‐Banek, Camille, et al.. (2019). A microanalytical capillary electrophoresis mass spectrometry assay for quantifying angiotensin peptides in the brain. Analytical and Bioanalytical Chemistry. 411(19). 4661–4671. 30 indexed citations
10.
Lombard‐Banek, Camille, et al.. (2019). Single-cell proteomics in complex tissues using microprobe capillary electrophoresis mass spectrometry. Methods in enzymology on CD-ROM/Methods in enzymology. 628. 263–292. 22 indexed citations
11.
12.
Lombard‐Banek, Camille, Sally A. Moody, & Péter Nemes. (2016). High-Sensitivity Mass Spectrometry for Probing Gene Translation in Single Embryonic Cells in the Early Frog (Xenopus) Embryo. Frontiers in Cell and Developmental Biology. 4. 100–100. 21 indexed citations
13.
Onjiko, Rosemary M., Sally A. Moody, & Péter Nemes. (2015). Single-cell mass spectrometry reveals small molecules that affect cell fates in the 16-cell embryo. Proceedings of the National Academy of Sciences. 112(21). 6545–6550. 160 indexed citations
14.
Rubakhin, Stanislav S., Elena V. Romanova, Péter Nemes, & Jonathan V. Sweedler. (2011). Profiling metabolites and peptides in single cells. Nature Methods. 8(S4). S20–S29. 289 indexed citations
15.
Nemes, Péter, et al.. (2011). Internal energy deposition and ion fragmentation in atmospheric-pressure mid-infrared laser ablation electrospray ionization. Physical Chemistry Chemical Physics. 14(7). 2501–2501. 35 indexed citations
16.
Nemes, Péter & Ákos Vértes. (2010). Laser Ablation Electrospray Ionization for Atmospheric Pressure Molecular Imaging Mass Spectrometry. Methods in molecular biology. 656. 159–171. 39 indexed citations
17.
Nemes, Péter & Ákos Vértes. (2010). Atmospheric-pressure Molecular Imaging of Biological Tissues and Biofilms by LAESI Mass Spectrometry. Journal of Visualized Experiments. 24 indexed citations
18.
Marginean, Ioan, Péter Nemes, & Ákos Vértes. (2007). Astable regime in electrosprays. Physical Review E. 76(2). 26320–26320. 71 indexed citations
19.
Nemes, Péter, Gitta Schlosser, & Károly Vékey. (2004). Amino acid cluster formation studied by electrospray ionization mass spectrometry. Journal of Mass Spectrometry. 40(1). 43–49. 64 indexed citations
20.
Kovács, Péter, Hargita Hegyesi, László Kőhidai, Péter Nemes, & G. Csaba. (1999). Effect of C2 ceramide on the inositol phospholipid metabolism (uptake of 32P, 3H-serine and 3H-palmitic acid) and apoptosis-related morphological changes in Tetrahymena. Comparative Biochemistry and Physiology Part C Pharmacology Toxicology and Endocrinology. 122(2). 215–224. 13 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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