Martin Klammer

447 total citations
16 papers, 290 citations indexed

About

Martin Klammer is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Martin Klammer has authored 16 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Spectroscopy and 3 papers in Oncology. Recurrent topics in Martin Klammer's work include Advanced Proteomics Techniques and Applications (6 papers), Machine Learning in Bioinformatics (3 papers) and Bioinformatics and Genomic Networks (3 papers). Martin Klammer is often cited by papers focused on Advanced Proteomics Techniques and Applications (6 papers), Machine Learning in Bioinformatics (3 papers) and Bioinformatics and Genomic Networks (3 papers). Martin Klammer collaborates with scholars based in Germany, Sweden and Belgium. Martin Klammer's co-authors include Christoph Schaab, Andreas Tebbe, Klaus Godl, Felix Oppermann, Erik L. L. Sonnhammer, Stefan C. Müller, Henrik Daub, Stephanie Blencke, Marc Kaminski and Thomas Schmitt and has published in prestigious journals such as Blood, Bioinformatics and PLoS ONE.

In The Last Decade

Martin Klammer

15 papers receiving 288 citations

Peers

Countries citing papers authored by Martin Klammer

Since Specialization

Citations

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

Fields of papers citing papers by Martin Klammer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Klammer

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Soluble Angiotensin-Converting Enzyme 2 as a Prognostic Biomarker for Disease Progression in Patients Infected with SARS-CoV-2 2022 ·Diagnostics ·(unknown), (unknown), Stephen G. Weber, Martin Klammer, (unknown), (unknown), (unknown), M. Hernández, Roser Ferrer, Tomàs Pumarola, Francisco Rodríguez‐Frias	11
2	Comprehensive evaluation of microRNA as a biomarker for the diagnosis of hepatocellular carcinoma 2022 ·World Journal of Gastroenterology ·(unknown), Martin Klammer, Vinzent Rolny, Henry Lik‐Yuen Chan, Teerha Piratvisuth, Tawesak Tanwandee, Satawat Thongsawat, Wattana Sukeepaisarnjaroen, Juan Ignacio Esteban, Marta Bes, Bruno Köhler, Magdalena Lange	9
3	Translation and evaluation of a pre-clinical 5-protein response prediction signature in a breast cancer phase Ib clinical trial 2019 ·PLoS ONE ·Axel Ducret, Ian James, (unknown), (unknown), Andreas Tebbe, (unknown), Sarah Elschenbroich, Martin Klammer, Adele Blackler, Wei‐Li Liao, Yuan Tian, Thomas Friess, Birgit Bossenmaier, (unknown), Christoph Schaab, Todd Hembrough, Maurizio Ceppi	4
4	Quantitative Phosphoproteomics Analysis of ERBB3/ERBB4 Signaling 2016 ·PLoS ONE ·Sebastian K. Wandinger, Idoya Lahortiga, Kris Jacobs, Martin Klammer, Nicole Vincent Jordan, Sarah Elschenbroich, Marc Paradé, Edgar Jacoby, Joannes T. M. Linders, Dirk Brehmer, Jan Cools, Henrik Daub	13
5	Comparative proteome analysis across non-small cell lung cancer cell lines 2015 ·Journal of Proteomics ·(unknown), (unknown), Martin Klammer, Andreas Tebbe, Christoph Schaab, Henrik Daub	5
6	Pareto Optimization Identifies Diverse Set of Phosphorylation Signatures Predicting Response to Treatment with Dasatinib 2015 ·PLoS ONE ·Martin Klammer, (unknown), Daniel Hoffmann, Christoph Schaab	6
7	Systematic evaluation of label‐free and super‐SILAC quantification for proteome expression analysis 2015 ·Rapid Communications in Mass Spectrometry ·Andreas Tebbe, Martin Klammer, (unknown), Christoph Schaab, Henrik Daub	16
8	Identification of Significant Features by the Global Mean Rank Test 2014 ·PLoS ONE ·Martin Klammer, (unknown), Daniel Hoffmann, Christoph Schaab	15
9	Comparison of SILAC and mTRAQ Quantification for Phosphoproteomics on a Quadrupole Orbitrap Mass Spectrometer 2013 ·Journal of Proteome Research ·Felix Oppermann, Martin Klammer, (unknown), Jürgen Cox, Christoph Schaab, Andreas Tebbe, Henrik Daub	26
10	Global Quantitative Phosphoproteome Analysis of Human Tumor Xenografts Treated with a CD44 Antagonist 2012 ·Cancer Research ·Stefan Weigand, Frank Herting, Daniela Maisel, Adam Nopora, Edgar Voß, Christoph Schaab, Martin Klammer, Andreas Tebbe	31
11	Phosphosignature Predicts Dasatinib Response in Non-small Cell Lung Cancer 2012 ·Molecular & Cellular Proteomics ·Martin Klammer, Marc Kaminski, (unknown), Felix Oppermann, Stephanie Blencke, (unknown), Stefan C. Müller, Andreas Tebbe, Klaus Godl, Christoph Schaab	90
12	Global Phosphoproteome Analysis of AML Bone Marrow Reveals Predictive Markers for the Treatment with AC220 2012 ·Blood ·Christoph Schaab, Felix Oppermann, Roman Pfeifer, Martin Klammer, Andreas Tebbe, Thomas Oellerich, Jürgen Krauter, Mark J. Levis, Alexander E. Perl, Henrik Daub, Björn Steffen, Klaus Godl, Hubert Serve	2
13	Identifying differentially regulated subnetworks from phosphoproteomic data 2010 ·BMC Bioinformatics ·Martin Klammer, Klaus Godl, Andreas Tebbe, Christoph Schaab	24
14	MetaTM - a consensus method for transmembrane protein topology prediction 2009 ·BMC Bioinformatics ·Martin Klammer, D. Messina, Thomas Schmitt, Erik L. L. Sonnhammer	21
15	jSquid: a Java applet for graphical on-line network exploration 2008 ·Bioinformatics ·Martin Klammer, (unknown), Erik L. L. Sonnhammer	16
16	Whitman, Slavery, and the Emergence of Leaves of Grass. 1996 ·The American Historical Review ·Ezra M. Greenspan, Martin Klammer	1

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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