Marc Kirchner

1.6k total citations
27 papers, 1.2k citations indexed

About

Marc Kirchner is a scholar working on Molecular Biology, Spectroscopy and Signal Processing. According to data from OpenAlex, Marc Kirchner has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Spectroscopy and 3 papers in Signal Processing. Recurrent topics in Marc Kirchner's work include Metabolomics and Mass Spectrometry Studies (13 papers), Advanced Proteomics Techniques and Applications (13 papers) and Mass Spectrometry Techniques and Applications (13 papers). Marc Kirchner is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (13 papers), Advanced Proteomics Techniques and Applications (13 papers) and Mass Spectrometry Techniques and Applications (13 papers). Marc Kirchner collaborates with scholars based in United States, Germany and Netherlands. Marc Kirchner's co-authors include Hanno Steen, Fred A. Hamprecht, Bernhard Y. Renard, Judith A. Steen, Michael R. Freeman, Dolores Di Vizio, Wei Yang, Michael Hanselmann, Kenneth C. Parker and Erika R. Amstalden and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Marc Kirchner

26 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marc Kirchner 833 517 165 79 75 27 1.2k
Guozhong Li 921 1.1× 649 1.3× 84 0.5× 46 0.6× 50 0.7× 28 1.7k
Natalie Tasman 1.3k 1.6× 957 1.9× 111 0.7× 60 0.8× 80 1.1× 7 1.7k
Luis Mendoza 1.6k 1.9× 1.1k 2.2× 133 0.8× 59 0.7× 122 1.6× 34 2.1k
David Shteynberg 1.9k 2.3× 1.2k 2.4× 148 0.9× 79 1.0× 160 2.1× 36 2.4k
Harald Barsnes 1.8k 2.2× 1.1k 2.1× 106 0.6× 98 1.2× 103 1.4× 68 2.4k
John T. Prince 940 1.1× 483 0.9× 78 0.5× 111 1.4× 17 0.2× 37 1.2k
Mingze Bai 928 1.1× 235 0.5× 104 0.6× 55 0.7× 102 1.4× 31 1.5k
Michael K. Coleman 1.1k 1.3× 397 0.8× 110 0.7× 191 2.4× 82 1.1× 8 1.6k
Christine Hoogland 1.0k 1.3× 601 1.2× 93 0.6× 62 0.8× 38 0.5× 48 1.5k
Hao Chi 2.0k 2.5× 1.3k 2.5× 190 1.2× 57 0.7× 135 1.8× 55 2.5k

Countries citing papers authored by Marc Kirchner

Since Specialization
Citations

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

Fields of papers citing papers by Marc Kirchner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Kirchner

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Kirchner. A scholar is included among the top collaborators of Marc Kirchner 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 Marc Kirchner. Marc Kirchner 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.
Kirchner, Marc, et al.. (2024). On Efficient and Statistical Quality Estimation for Data Annotation. 15680–15696.
2.
Hohman, Fred, Dominik Moritz, Kanit Wongsuphasawat, et al.. (2022). Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels. CHI Conference on Human Factors in Computing Systems. 1–13. 47 indexed citations
3.
Singh, Smita, Dominic Winter, Marc Kirchner, et al.. (2014). Co-regulation proteomics reveals substrates and mechanisms of APC/C-dependent degradation. The EMBO Journal. 33(4). 385–399. 60 indexed citations
4.
Froehlich, John W., et al.. (2013). An in-depth comparison of the male pediatric and adult urinary proteomes. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1844(5). 1044–1050. 23 indexed citations
5.
Singh, Sasha A., Marc Kirchner, Judith A. Steen, & Hanno Steen. (2012). A Practical Guide to the FLEXIQuant Method. Methods in molecular biology. 893. 295–319. 19 indexed citations
6.
Renard, Bernhard Y., Marc Kirchner, Dominic Winter, et al.. (2012). Overcoming Species Boundaries in Peptide Identification with Bayesian Information Criterion-driven Error-tolerant Peptide Search (BICEPS). Molecular & Cellular Proteomics. 11(7). M111.014167–1. 23 indexed citations
7.
Wilhelm, Mathias, Marc Kirchner, Judith A. Steen, & Hanno Steen. (2011). mz5: Space- and Time-efficient Storage of Mass Spectrometry Data Sets. Molecular & Cellular Proteomics. 11(1). O111.011379–O111.011379. 47 indexed citations
8.
Soblik, Hanns, Abuelhassan Elshazly Younis, Makedonka Mitreva, et al.. (2011). Life Cycle Stage-resolved Proteomic Analysis of the Excretome/Secretome from Strongyloides ratti—Identification of Stage-specific Proteases. Molecular & Cellular Proteomics. 10(12). M111.010157–M111.010157. 78 indexed citations
9.
Özlü, Nurhan, et al.. (2011). Measuring Phosphorylation-Specific Changes in Response to Kinase Inhibitors in Mammalian Cells Using Quantitative Proteomics. Methods in molecular biology. 795. 217–231. 1 indexed citations
10.
Anderson, Damon S., Marc Kirchner, Mark D. Kellogg, et al.. (2011). Design and Validation of a High-Throughput Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry Method for Quantification of Hepcidin in Human Plasma. Analytical Chemistry. 83(21). 8357–8362. 18 indexed citations
11.
Voß, Björn, Michael Hanselmann, Bernhard Y. Renard, et al.. (2011). SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists. Bioinformatics. 27(7). 987–993. 29 indexed citations
12.
13.
Renard, Bernhard Y., et al.. (2010). Estimating the Confidence of Peptide Identifications without Decoy Databases. Analytical Chemistry. 82(11). 4314–4318. 21 indexed citations
14.
Yang, Wei, Dolores Di Vizio, Marc Kirchner, Hanno Steen, & Michael R. Freeman. (2009). Proteome Scale Characterization of Human S-Acylated Proteins in Lipid Raft-enriched and Non-raft Membranes. Molecular & Cellular Proteomics. 9(1). 54–70. 230 indexed citations
15.
Renard, Bernhard Y., Marc Kirchner, Flavio Monigatti, et al.. (2009). When less can yield more – Computational preprocessing of MS/MS spectra for peptide identification. PROTEOMICS. 9(21). 4978–4984. 57 indexed citations
16.
Renard, Bernhard Y., Marc Kirchner, Hanno Steen, Judith A. Steen, & Fred A. Hamprecht. (2008). NITPICK: peak identification for mass spectrometry data. BMC Bioinformatics. 9(1). 355–355. 58 indexed citations
17.
Hanselmann, Michael, Marc Kirchner, Bernhard Y. Renard, et al.. (2008). Concise Representation of Mass Spectrometry Images by Probabilistic Latent Semantic Analysis. Analytical Chemistry. 80(24). 9649–9658. 102 indexed citations
18.
Steen, Judith A., Hanno Steen, Kenneth C. Parker, et al.. (2008). Different phosphorylation states of the anaphase promoting complex in response to antimitotic drugs: A quantitative proteomic analysis. Proceedings of the National Academy of Sciences. 105(16). 6069–6074. 69 indexed citations
19.
Kirchner, Marc, et al.. (2007). amsrpm: Robust Point Matching for Retention Time Aligment of LC/MS Data with R. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Kirchner, Marc, et al.. (2007). amsrpm: Robust Point Matching for Retention Time Alignment of LC/MS Data withR. Journal of Statistical Software. 18(4). 23 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Guozhong Li Breakdown of academic impact, for papers by Natalie Tasman Breakdown of academic impact, for papers by Luis Mendoza Breakdown of academic impact, for papers by David Shteynberg Breakdown of academic impact, for papers by Harald Barsnes Breakdown of academic impact, for papers by John T. Prince Breakdown of academic impact, for papers by Mingze Bai Breakdown of academic impact, for papers by Michael K. Coleman Breakdown of academic impact, for papers by Christine Hoogland Breakdown of academic impact, for papers by Hao Chi
Rankless by CCL
2026