Péter Horvatovich

5.1k total citations · 1 hit paper
131 papers, 3.5k citations indexed

About

Péter Horvatovich is a scholar working on Molecular Biology, Spectroscopy and Food Science. According to data from OpenAlex, Péter Horvatovich has authored 131 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 49 papers in Spectroscopy and 25 papers in Food Science. Recurrent topics in Péter Horvatovich's work include Advanced Proteomics Techniques and Applications (36 papers), Metabolomics and Mass Spectrometry Studies (33 papers) and Mass Spectrometry Techniques and Applications (31 papers). Péter Horvatovich is often cited by papers focused on Advanced Proteomics Techniques and Applications (36 papers), Metabolomics and Mass Spectrometry Studies (33 papers) and Mass Spectrometry Techniques and Applications (31 papers). Péter Horvatovich collaborates with scholars based in Netherlands, United States and France. Péter Horvatovich's co-authors include Rainer Bischoff, Frank Suits, Eric Marchioni, Saïd Ennahar, Dalal Werner, Christin Christin, Erwann Hamon, Natalia Govorukhina, Andrei Barcaru and Morana Jaganjac and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Bioinformatics.

In The Last Decade

Péter Horvatovich

126 papers receiving 3.5k citations

Hit Papers

A systems study reveals concurrent activation of AMPK and... 2016 2026 2019 2022 2016 100 200 300

Peers

Péter Horvatovich
Péter Horvatovich
Citations per year, relative to Péter Horvatovich Péter Horvatovich (= 1×) peers Randy M. Whittal

Countries citing papers authored by Péter Horvatovich

Since Specialization
Citations

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

Fields of papers citing papers by Péter Horvatovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Péter Horvatovich

This figure shows the co-authorship network connecting the top 25 collaborators of Péter Horvatovich. A scholar is included among the top collaborators of Péter Horvatovich 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 Horvatovich. Péter Horvatovich 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.
Zheng, Jing, Yajie Ding, Isadora de Araújo Oliveira, et al.. (2025). GlycoGenius: a streamlined high-throughput glycan composition identification tool. Nature Communications. 16(1). 10335–10335.
2.
Szász, Attila Marcell, Elisabet Wieslander, Karen S. Pawlowski, et al.. (2025). A perspective on integrating digital pathology, proteomics, clinical data and AI analytics in cancer research. Journal of Proteomics. 320. 105493–105493. 1 indexed citations
3.
Hermans, Jos, et al.. (2025). Identification of Methylglyoxal Reactive Proteins with Photocaged Glycating Agents. ChemBioChem. 26(21). e202500275–e202500275.
4.
Vries, Maaike de, Theo Borghuis, Wim Timens, et al.. (2023). Age-associated differences in the human lung extracellular matrix. American Journal of Physiology-Lung Cellular and Molecular Physiology. 324(6). L799–L814. 28 indexed citations
5.
Bouyssié, David, Salvador Capella-Gutiérrez, José M. Fernández, et al.. (2023). WOMBAT-P: Benchmarking Label-Free Proteomics Data Analysis Workflows. Journal of Proteome Research. 23(1). 418–429.
6.
Klont, Frank, Lyanne M. Kieneker, António W. Gomes‐Neto, et al.. (2020). Female Specific Association of Low Insulin-Like Growth Factor 1 (IGF1) Levels with Increased Risk of Premature Mortality in Renal Transplant Recipients. Journal of Clinical Medicine. 9(2). 293–293. 2 indexed citations
7.
Yang, Keni, Bárbara Mesquita, Péter Horvatovich, & Anna Salvati. (2020). Tuning liposome composition to modulate corona formation in human serum and cellular uptake. Acta Biomaterialia. 106. 314–327. 64 indexed citations
8.
Brandsma, Corry‐Anke, Victor Guryev, Wim Timens, et al.. (2020). Integrated proteogenomic approach identifying a protein signature of COPD and a new splice variant of SORBS1. Thorax. 75(2). 180–183. 14 indexed citations
9.
Horvatovich, Péter, Cornelis J. Vermeulen, Irene H. Heijink, et al.. (2019). Gene network approach reveals co-expression patterns in nasal and bronchial epithelium. Scientific Reports. 9(1). 15835–15835. 14 indexed citations
10.
Dijk, F., Eduard Post, Detlef Schuppan, et al.. (2019). The antifibrotic potential of a sustained release formulation of a PDGFβ-receptor targeted rho kinase inhibitor. Journal of Controlled Release. 296. 250–257. 18 indexed citations
11.
Wang, Yuanyuan, et al.. (2018). Effect estimate comparison between the prescription sequence symmetry analysis (PSSA) and parallel group study designs: A systematic review. PLoS ONE. 13(12). e0208389–e0208389. 6 indexed citations
12.
Han, Jiaying, Andrea Schmidt, Tao Zhang, et al.. (2017). Bioconjugation strategies to couple supramolecular exo-functionalized palladium cages to peptides for biomedical applications. Chemical Communications. 53(8). 1405–1408. 31 indexed citations
13.
Lommen, Arjen, et al.. (2017). Gas chromatographic quadrupole time-of-flight full scan high resolution mass spectrometric screening of human urine in antidoping analysis. Journal of Chromatography B. 1063. 74–83. 30 indexed citations
14.
Wang, Xiangdong, Yong Zhang, Anna Nilsson, et al.. (2015). Association of chromosome 19 to lung cancer genotypes and phenotypes. Cancer and Metastasis Reviews. 34(2). 217–226. 30 indexed citations
15.
Bischoff, Rainer, Hjalmar P. Permentier, Victor Guryev, & Péter Horvatovich. (2015). Genomic variability and protein species — Improving sequence coverage for proteogenomics. Journal of Proteomics. 134. 25–36. 7 indexed citations
16.
Niu, Xiaoyu, Inge A.M. de Graaf, Miriam Langelaar‐Makkinje, Péter Horvatovich, & Geny M. M. Groothuis. (2014). Diclofenac toxicity in human intestine ex vivo is not related to the formation of intestinal metabolites. Archives of Toxicology. 89(1). 107–119. 18 indexed citations
17.
Postma, Dirkje S., Maarten van den Berge, Natalia Govorukhina, et al.. (2014). Susceptibility to COPD: Differential Proteomic Profiling after Acute Smoking. PLoS ONE. 9(7). e102037–e102037. 31 indexed citations
18.
Hamon, Erwann, Péter Horvatovich, Esther Izquierdo, et al.. (2011). Comparative proteomic analysis of Lactobacillus plantarumfor the identification of key proteins in bile tolerance. BMC Microbiology. 11(1). 63–63. 147 indexed citations
19.
Govorukhina, Natalia, Marcel de Vries, Theo Reijmers, et al.. (2008). Influence of clotting time on the protein composition of serum samples based on LC–MS data☆. Journal of Chromatography B. 877(13). 1281–1291. 18 indexed citations
20.
Horvatovich, Péter, Natalia Govorukhina, Theo Reijmers, et al.. (2007). Chip‐LC‐MS for label‐free profiling of human serum. Electrophoresis. 28(23). 4493–4505. 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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