Harald Marx

2.9k total citations
13 papers, 705 citations indexed

About

Harald Marx is a scholar working on Molecular Biology, Spectroscopy and Plant Science. According to data from OpenAlex, Harald Marx has authored 13 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Spectroscopy and 3 papers in Plant Science. Recurrent topics in Harald Marx's work include Advanced Proteomics Techniques and Applications (6 papers), Molecular Biology Techniques and Applications (4 papers) and Genomics and Phylogenetic Studies (4 papers). Harald Marx is often cited by papers focused on Advanced Proteomics Techniques and Applications (6 papers), Molecular Biology Techniques and Applications (4 papers) and Genomics and Phylogenetic Studies (4 papers). Harald Marx collaborates with scholars based in Germany, Austria and United States. Harald Marx's co-authors include Bernhard Küster, Jürgen Cox, Simone Lemeer, Joshua J. Coon, Alicia Richards, Michael S. Westphall, Shabaz Mohammed, Lucrèce Mathéron, Matthias Mann and Jan Erik Schliep and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Biotechnology.

In The Last Decade

Harald Marx

13 papers receiving 696 citations

Peers

Harald Marx
Harald Marx
Citations per year, relative to Harald Marx Harald Marx (= 1×) peers Guangyou Duan

Countries citing papers authored by Harald Marx

Since Specialization
Citations

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

Fields of papers citing papers by Harald Marx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harald Marx

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

All Works

13 of 13 papers shown
1.
Sinitcyn, Pavel, Alicia Richards, Robert J. Weatheritt, et al.. (2023). Global detection of human variants and isoforms by deep proteome sequencing. Nature Biotechnology. 41(12). 1776–1786. 92 indexed citations
2.
Shin, Junha, Harald Marx, Alicia Richards, et al.. (2020). A network-based comparative framework to study conservation and divergence of proteomes in plant phylogenies. Nucleic Acids Research. 49(1). e3–e3. 7 indexed citations
3.
Marx, Harald & Joshua J. Coon. (2019). MS-Helios: a Circos wrapper to visualize multi-omic datasets. BMC Bioinformatics. 20(1). 21–21. 6 indexed citations
4.
Pelikan, Claus, Samuel M. Gerner, Stephan Köstlbacher, et al.. (2019). A Bioinformatics Guide to Plant Microbiome Analysis. Frontiers in Plant Science. 10. 1313–1313. 54 indexed citations
5.
Marx, Harald, Hannes Hahne, Susanne E. Ulbrich, et al.. (2017). Annotation of the Domestic Pig Genome by Quantitative Proteogenomics. Journal of Proteome Research. 16(8). 2887–2898. 21 indexed citations
6.
Wilhelm, Mathias, Hannes Hahne, Mikhail M. Savitski, et al.. (2017). Wilhelm et al. reply. Nature. 547(7664). E23–E23. 6 indexed citations
7.
Neuhaus, Klaus, Svenja Simon, Andrea Schafferhans, et al.. (2016). Translatomics combined with transcriptomics and proteomics reveals novel functional, recently evolved orphan genes in Escherichia coli O157:H7 (EHEC). BMC Genomics. 17(1). 133–133. 25 indexed citations
8.
Marx, Harald, Catherine E. Minogue, Dhileepkumar Jayaraman, et al.. (2016). A proteomic atlas of the legume Medicago truncatula and its nitrogen-fixing endosymbiont Sinorhizobium meliloti. Nature Biotechnology. 34(11). 1198–1205. 96 indexed citations
9.
Stefely, Jonathan A., Nicholas W. Kwiecien, Elyse C. Freiberger, et al.. (2016). Mitochondrial protein functions elucidated by multi-omic mass spectrometry profiling. Nature Biotechnology. 34(11). 1191–1197. 103 indexed citations
10.
Helm, Dominic, Johannes P.C. Vissers, Chris Hughes, et al.. (2014). Ion Mobility Tandem Mass Spectrometry Enhances Performance of Bottom-up Proteomics. Molecular & Cellular Proteomics. 13(12). 3709–3715. 85 indexed citations
11.
Marx, Harald, Simone Lemeer, Jan Erik Schliep, et al.. (2013). A large synthetic peptide and phosphopeptide reference library for mass spectrometry–based proteomics. Nature Biotechnology. 31(6). 557–564. 140 indexed citations
12.
Marx, Harald, Simone Lemeer, Susan Klaeger, Thomas Rattei, & Bernhard Küster. (2013). MScDB: A Mass Spectrometry-centric Protein Sequence Database for Proteomics. Journal of Proteome Research. 12(6). 2386–2398. 8 indexed citations
13.
Marx, Harald, et al.. (2001). Molecular phylogeny of the genus Kalanchoe (Crassulaceae) inferred from nucleotide sequences of the ITS-1 and ITS-2 regions. Plant Science. 160(5). 827–835. 62 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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