René P. Zahedi

12.3k total citations · 2 hit papers
170 papers, 8.1k citations indexed

About

René P. Zahedi is a scholar working on Molecular Biology, Spectroscopy and Hematology. According to data from OpenAlex, René P. Zahedi has authored 170 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Molecular Biology, 66 papers in Spectroscopy and 23 papers in Hematology. Recurrent topics in René P. Zahedi's work include Advanced Proteomics Techniques and Applications (65 papers), Mass Spectrometry Techniques and Applications (39 papers) and Platelet Disorders and Treatments (20 papers). René P. Zahedi is often cited by papers focused on Advanced Proteomics Techniques and Applications (65 papers), Mass Spectrometry Techniques and Applications (39 papers) and Platelet Disorders and Treatments (20 papers). René P. Zahedi collaborates with scholars based in Germany, Canada and United Kingdom. René P. Zahedi's co-authors include Albert Sickmann, Chris Meisinger, Nikolaus Pfanner, Julia M. Burkhart, Ulrich Walter, Laxmikanth Kollipara, A. Saskia Venne, Stepan Gambaryan, Jörg Reinders and Stefanie Wortelkamp and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

René P. Zahedi

163 papers receiving 8.1k citations

Hit Papers

The proteome of Saccharom... 2003 2026 2010 2018 2003 2012 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
René P. Zahedi Germany 48 5.7k 1.7k 998 876 655 170 8.1k
Keiryn L. Bennett Austria 45 5.8k 1.0× 896 0.5× 938 0.9× 799 0.9× 1.1k 1.7× 120 9.5k
Chanchal Kumar Germany 26 8.4k 1.5× 2.8k 1.7× 185 0.2× 1.2k 1.3× 1.4k 2.2× 35 10.8k
Anthony D. Whetton United Kingdom 52 5.2k 0.9× 1.0k 0.6× 1.6k 1.6× 638 0.7× 1.4k 2.2× 277 8.9k
Shao‐En Ong United States 36 11.5k 2.0× 4.9k 2.9× 194 0.2× 1.7k 1.9× 1.5k 2.3× 81 14.3k
Rong‐Fong Shen United States 36 5.2k 0.9× 1.0k 0.6× 134 0.1× 472 0.5× 450 0.7× 96 7.0k
H. Alex Brown United States 51 6.4k 1.1× 1.1k 0.6× 128 0.1× 2.0k 2.3× 428 0.7× 98 9.0k
Henrik Molina United States 51 6.3k 1.1× 1.2k 0.7× 139 0.1× 894 1.0× 1.0k 1.6× 127 8.8k
Wilhelm Haas United States 53 11.0k 1.9× 2.7k 1.6× 262 0.3× 1.8k 2.0× 2.0k 3.1× 101 15.3k
Edward L. Huttlin United States 35 7.1k 1.2× 2.4k 1.4× 95 0.1× 1.2k 1.4× 946 1.4× 55 9.2k
Robert N. Cole United States 52 8.6k 1.5× 648 0.4× 140 0.1× 820 0.9× 817 1.2× 184 11.6k

Countries citing papers authored by René P. Zahedi

Since Specialization
Citations

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

Fields of papers citing papers by René P. Zahedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by René P. Zahedi. 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 René P. Zahedi. The network helps show where René P. Zahedi may publish in the future.

Co-authorship network of co-authors of René P. Zahedi

This figure shows the co-authorship network connecting the top 25 collaborators of René P. Zahedi. A scholar is included among the top collaborators of René P. Zahedi 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 René P. Zahedi. René P. Zahedi 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.
Peterson, Jennifer M., Valérie Leclair, Andrea L. Nestor‐Kalinoski, et al.. (2025). A window into intracellular events in myositis through subcellular proteomics. Inflammation Research. 74(1). 31–31.
3.
Richard, Vincent R., Azad Eshghi, Yassene Mohammed, et al.. (2024). Establishing Personalized Blood Protein Reference Ranges Using Noninvasive Microsampling and Targeted Proteomics: Implications for Antidoping Strategies. Journal of Proteome Research. 23(5). 1779–1787. 4 indexed citations
4.
Roos, Andreas, Martin Häusler, Laxmikanth Kollipara, et al.. (2024). HNRNPA1 de novo Variant Associated with Early Childhood Onset, Rapidly Progressive Generalized Myopathy. Journal of Neuromuscular Diseases. 11(5). 1131–1137. 2 indexed citations
5.
Moussa, Omar, Christophe Gonçalves, Vincent R. Richard, et al.. (2024). Combined Inhibition of MNK Signaling and BET Proteins Reveals TGM2 as a Novel Vulnerability in Melanoma. Journal of Investigative Dermatology. 145(4). 979–984.e5. 1 indexed citations
6.
Korovesis, Dimitris, et al.. (2023). Mapping Peptide–Protein Interactions by Amine-Reactive Cleavable Photoaffinity Reagents. ACS Omega. 8(28). 25487–25495. 5 indexed citations
7.
Wakid, Marina, Daniel Almeida, Zahia Aouabed, et al.. (2023). Universal method for the isolation of microvessels from frozen brain tissue: A proof-of-concept multiomic investigation of the neurovasculature. Brain Behavior & Immunity - Health. 34. 100684–100684. 2 indexed citations
8.
Bartish, Margarita, Vincent R. Richard, Christophe Gonçalves, et al.. (2022). Phosphorylation of eIF4E in the stroma drives the production and spatial organisation of collagen type I in the mammary gland. Matrix Biology. 111. 264–288. 12 indexed citations
9.
10.
Meyer, Nancy, René P. Zahedi, Teresinha Evangelista, et al.. (2022). FYCO1 Increase and Effect of Arimoclomol–Treatment in Human VCP–Pathology. Biomedicines. 10(10). 2443–2443. 2 indexed citations
11.
Richard, Vincent R., René P. Zahedi, Shaun Eintracht, & Christoph H. Borchers. (2020). An LC-MRM assay for the quantification of metanephrines from dried blood spots for the diagnosis of pheochromocytomas and paragangliomas. Analytica Chimica Acta. 1128. 140–148. 12 indexed citations
12.
Driller, J.H., Janine Lützkendorf, Harald Depner, et al.. (2019). Phosphorylation of the Bruchpilot N-terminus in Drosophila unlocks axonal transport of active zone building blocks. Journal of Cell Science. 132(6). 7 indexed citations
13.
Novo, Pedro, et al.. (2017). Integration of polycarbonate membranes in microfluidic free-flow electrophoresis. The Analyst. 142(22). 4228–4239. 13 indexed citations
14.
Mossmann, Dirk, F.‐Nora Vögtle, Aslı Aras Taşkin, et al.. (2014). Amyloid-β Peptide Induces Mitochondrial Dysfunction by Inhibition of Preprotein Maturation. Cell Metabolism. 20(4). 662–669. 170 indexed citations
15.
Burkhart, Julia M., Boaz Tirosh, Hermine Mohr, et al.. (2013). Cytomegalovirus Downregulates IRE1 to Repress the Unfolded Protein Response. PLoS Pathogens. 9(8). e1003544–e1003544. 52 indexed citations
16.
Vögtle, F.‐Nora, Julia M. Burkhart, Sanjana Rao, et al.. (2012). Intermembrane Space Proteome of Yeast Mitochondria. Molecular & Cellular Proteomics. 11(12). 1840–1852. 133 indexed citations
17.
Schmidt, Oliver, Angelika B. Harbauer, Sanjana Rao, et al.. (2011). Regulation of Mitochondrial Protein Import by Cytosolic Kinases. Cell. 144(2). 227–239. 190 indexed citations
18.
Lewandrowski, Urs, Stefanie Wortelkamp, Katharina Lohrig, et al.. (2009). Platelet membrane proteomics: a novel repository for functional research. Blood. 114(1). e10–e19. 99 indexed citations
19.
Lewandrowski, Urs, René P. Zahedi, Jan Moebius, Ulrich Walter, & Albert Sickmann. (2007). Enhanced N-Glycosylation Site Analysis of Sialoglycopeptides by Strong Cation Exchange Prefractionation Applied to Platelet Plasma Membranes. Molecular & Cellular Proteomics. 6(11). 1933–1941. 67 indexed citations
20.
Sickmann, Albert, Jörg Reinders, Cornelia Joppich, et al.. (2003). The proteome of Saccharomyces cerevisiae mitochondria. Proceedings of the National Academy of Sciences. 100(23). 13207–13212. 708 indexed citations breakdown →

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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