Martin Frejno

2.8k total citations · 1 hit paper
17 papers, 1.3k citations indexed

About

Martin Frejno is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Martin Frejno has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Spectroscopy and 2 papers in Oncology. Recurrent topics in Martin Frejno's work include Advanced Proteomics Techniques and Applications (9 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Bioinformatics and Genomic Networks (3 papers). Martin Frejno is often cited by papers focused on Advanced Proteomics Techniques and Applications (9 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Bioinformatics and Genomic Networks (3 papers). Martin Frejno collaborates with scholars based in Germany, United Kingdom and United States. Martin Frejno's co-authors include Bernhard Küster, Mathias Wilhelm, Chen Meng, Tobias Schmidt, Jana Zecha, Daniel P. Zolg, Dominic Helm, Patroklos Samaras, Siegfried Gessulat and Lihua Li and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Martin Frejno

17 papers receiving 1.3k citations

Hit Papers

A deep proteome and transcriptome abundance atlas of 29 h... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Frejno Germany 15 925 283 133 129 116 17 1.3k
Thilo Bracht Germany 21 713 0.8× 251 0.9× 178 1.3× 165 1.3× 96 0.8× 49 1.2k
Jana Zecha Germany 13 1.1k 1.1× 495 1.7× 163 1.2× 152 1.2× 83 0.7× 16 1.5k
Shankha Satpathy Denmark 13 1.1k 1.2× 219 0.8× 220 1.7× 169 1.3× 79 0.7× 24 1.4k
Erik Björling Sweden 10 1.0k 1.1× 258 0.9× 138 1.0× 97 0.8× 94 0.8× 13 1.3k
David Ochoa United Kingdom 17 1.0k 1.1× 172 0.6× 138 1.0× 88 0.7× 245 2.1× 26 1.3k
Heiko Horn Denmark 14 1.2k 1.3× 147 0.5× 226 1.7× 163 1.3× 167 1.4× 20 1.5k
Douglas H. Phanstiel United States 18 1.6k 1.8× 364 1.3× 134 1.0× 166 1.3× 180 1.6× 41 2.0k
Damian Fermin United States 13 889 1.0× 153 0.5× 142 1.1× 155 1.2× 73 0.6× 28 1.3k
Jonathan Rameseder United States 8 1.3k 1.5× 346 1.2× 126 0.9× 94 0.7× 102 0.9× 8 1.7k
Cuiping Pan China 12 654 0.7× 216 0.8× 93 0.7× 67 0.5× 69 0.6× 26 1.1k

Countries citing papers authored by Martin Frejno

Since Specialization
Citations

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

Fields of papers citing papers by Martin Frejno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Frejno

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

All Works

17 of 17 papers shown
1.
Schneider, Markus, Daniel P. Zolg, Patroklos Samaras, et al.. (2025). A Scalable, Web-Based Platform for Proteomics Data Processing, Result Storage and Analysis. Journal of Proteome Research. 24(3). 1241–1249. 1 indexed citations
2.
Frejno, Martin, Johanna Tüshaus, Alexander Hogrebe, et al.. (2025). Unifying the analysis of bottom-up proteomics data with CHIMERYS. Nature Methods. 22(5). 1017–1027. 9 indexed citations
3.
Wiechmann, Svenja, Benjamin Ruprecht, Runsheng Zheng, et al.. (2021). Chemical Phosphoproteomics Sheds New Light on the Targets and Modes of Action of AKT Inhibitors. ACS Chemical Biology. 16(4). 631–641. 25 indexed citations
4.
Zolg, Daniel P., Siegfried Gessulat, Daniel López‐Ferrer, et al.. (2021). INFERYS rescoring: Boosting peptide identifications and scoring confidence of database search results. Rapid Communications in Mass Spectrometry. 39(S1). e9128–e9128. 51 indexed citations
5.
Frejno, Martin, Chen Meng, Benjamin Ruprecht, et al.. (2020). Proteome activity landscapes of tumor cell lines determine drug responses. Nature Communications. 11(1). 3639–3639. 49 indexed citations
6.
Montenegro, Raquel Carvalho, Alison Howarth, Alessandro Ceroni, et al.. (2020). Identification of molecular targets for the targeted treatment of gastric cancer using dasatinib. Oncotarget. 11(5). 535–549. 32 indexed citations
7.
Samaras, Patroklos, Tobias Schmidt, Martin Frejno, et al.. (2019). ProteomicsDB: a multi-omics and multi-organism resource for life science research. Nucleic Acids Research. 48(D1). D1153–D1163. 129 indexed citations
8.
Rechenberger, Julia, Patroklos Samaras, Anna Jarząb, et al.. (2019). Challenges in Clinical Metaproteomics Highlighted by the Analysis of Acute Leukemia Patients with Gut Colonization by Multidrug-Resistant Enterobacteriaceae. Proteomes. 7(1). 2–2. 44 indexed citations
9.
Wang, Dongxue, Basak Eraslan, Thomas Wieland, et al.. (2019). A deep proteome and transcriptome abundance atlas of 29 healthy human tissues. Molecular Systems Biology. 15(2). e8503–e8503. 449 indexed citations breakdown →
10.
Ruprecht, Benjamin, et al.. (2017). Optimized Enrichment of Phosphoproteomes by Fe-IMAC Column Chromatography. Methods in molecular biology. 1550. 47–60. 24 indexed citations
11.
Schmidt, Tobias, Patroklos Samaras, Martin Frejno, et al.. (2017). ProteomicsDB. Nucleic Acids Research. 46(D1). D1271–D1281. 148 indexed citations
12.
Frejno, Martin, Riccardo Zenezini Chiozzi, Mathias Wilhelm, et al.. (2017). Pharmacoproteomic characterisation of human colon and rectal cancer. Molecular Systems Biology. 13(11). 951–951. 35 indexed citations
13.
Moraru, Alexandra, Gulcin Cakan‐Akdogan, Katrin Straßburger, et al.. (2017). THADA Regulates the Organismal Balance between Energy Storage and Heat Production. Developmental Cell. 41(1). 72–81.e6. 53 indexed citations
14.
Dorp, Katharina vom, et al.. (2016). Ceramide Synthase 5 Is Essential to Maintain C16:0-Ceramide Pools and Contributes to the Development of Diet-induced Obesity. Journal of Biological Chemistry. 291(13). 6989–7003. 102 indexed citations
15.
Koch, Heiner, Mathias Wilhelm, Benjamin Ruprecht, et al.. (2016). Phosphoproteome Profiling Reveals Molecular Mechanisms of Growth-Factor-Mediated Kinase Inhibitor Resistance in EGFR-Overexpressing Cancer Cells. Journal of Proteome Research. 15(12). 4490–4504. 14 indexed citations
16.
Meng, Chen, Dominic Helm, Martin Frejno, & Bernhard Küster. (2015). moCluster: Identifying Joint Patterns Across Multiple Omics Data Sets. Journal of Proteome Research. 15(3). 755–765. 93 indexed citations
17.
Elvin, Mark, et al.. (2011). A fitness assay for comparing RNAi effects across multiple C. elegans genotypes. BMC Genomics. 12(1). 510–510. 32 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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