Rainer Paape

4.8k total citations
11 papers, 502 citations indexed

About

Rainer Paape is a scholar working on Molecular Biology, Spectroscopy and Pharmacology. According to data from OpenAlex, Rainer Paape has authored 11 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Spectroscopy and 1 paper in Pharmacology. Recurrent topics in Rainer Paape's work include Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Rainer Paape is often cited by papers focused on Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Rainer Paape collaborates with scholars based in Germany, United States and France. Rainer Paape's co-authors include Sören‐Oliver Deininger, Michael Becker, Charles Pineau, Dale S. Cornett, Axel Walch, Sandra Rauser, Detlev Suckau, Carl Haslam, N. Leigh Anderson and Peter S. Marshall and has published in prestigious journals such as Analytical and Bioanalytical Chemistry, Journal of Proteome Research and PROTEOMICS.

In The Last Decade

Rainer Paape

11 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rainer Paape Germany 8 340 338 49 29 29 11 502
Jeong Hwa Lee South Korea 14 224 0.7× 349 1.0× 32 0.7× 16 0.6× 20 0.7× 20 581
Shannon Eliuk United States 9 424 1.2× 423 1.3× 46 0.9× 17 0.6× 19 0.7× 9 677
Tyler Greer United States 15 430 1.3× 450 1.3× 36 0.7× 18 0.6× 14 0.5× 23 652
María Emilia Dueñas United States 12 340 1.0× 355 1.1× 42 0.9× 16 0.6× 10 0.3× 27 565
Bingming Chen United States 16 428 1.3× 451 1.3× 41 0.8× 15 0.5× 11 0.4× 31 639
Tiffany Porta Siegel Netherlands 15 434 1.3× 427 1.3× 75 1.5× 20 0.7× 19 0.7× 30 681
György Marko‐Varga Sweden 11 258 0.8× 273 0.8× 53 1.1× 31 1.1× 6 0.2× 26 520
Andrea F. Lopez‐Clavijo United Kingdom 12 123 0.4× 222 0.7× 26 0.5× 59 2.0× 41 1.4× 21 497
Rima Ait-Belkacem France 11 333 1.0× 316 0.9× 24 0.5× 29 1.0× 8 0.3× 18 501
Wade Hines United States 13 373 1.1× 510 1.5× 36 0.7× 22 0.8× 26 0.9× 16 742

Countries citing papers authored by Rainer Paape

Since Specialization
Citations

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

Fields of papers citing papers by Rainer Paape

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rainer Paape

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

All Works

11 of 11 papers shown
1.
Vialaret, Jérôme, Pierre-Olivier Schmit, Sylvain Lehmann, et al.. (2018). Identification of multiple proteoforms biomarkers on clinical samples by routine Top-Down approaches. Data in Brief. 18. 1013–1021. 7 indexed citations
2.
Schmit, Pierre-Olivier, Jérôme Vialaret, Hans J. C. T. Wessels, et al.. (2017). Towards a routine application of Top-Down approaches for label-free discovery workflows. Journal of Proteomics. 175. 12–26. 15 indexed citations
3.
Broek, Irene van den, Jan Nouta, Morteza Razavi, et al.. (2015). Quantification of serum apolipoproteins A-I and B-100 in clinical samples using an automated SISCAPA–MALDI-TOF-MS workflow. Methods. 81. 74–85. 31 indexed citations
4.
Haslam, Carl, et al.. (2015). The Evolution of MALDI-TOF Mass Spectrometry toward Ultra-High-Throughput Screening: 1536-Well Format and Beyond. SLAS DISCOVERY. 21(2). 176–186. 104 indexed citations
5.
Casadonte, Rita, Mark Kriegsmann, Sören‐Oliver Deininger, et al.. (2015). Imaging mass spectrometry analysis of renal amyloidosis biopsies reveals protein co-localization with amyloid deposits. Analytical and Bioanalytical Chemistry. 407(18). 5323–5331. 31 indexed citations
6.
Casadonte, Rita, Mark Kriegsmann, Katrin Friedrich, et al.. (2014). Imaging mass spectrometry to discriminate breast from pancreatic cancer metastasis in formalin‐fixed paraffin‐embedded tissues. PROTEOMICS. 14(7-8). 956–964. 63 indexed citations
7.
Resemann, Anja, Rainer Paape, & Detlev Suckau. (2012). Precise MW Determination of Intact Proteins by Multiple Charge State Analysis of MALDI Generated Ions. 1 indexed citations
8.
Anderson, N. Leigh, Morteza Razavi, Terry W. Pearson, et al.. (2012). Precision of Heavy–Light Peptide Ratios Measured by MALDI-TOF Mass Spectrometry. Journal of Proteome Research. 11(3). 1868–1878. 46 indexed citations
9.
Paape, Rainer, et al.. (2011). Fast QC of Intact Monoclonal Antibodies Using MALDI-Top-Down Sequencing.. Journal of Biomolecular Techniques JBT. 22. 1 indexed citations
10.
Deininger, Sören‐Oliver, Dale S. Cornett, Rainer Paape, et al.. (2011). Normalization in MALDI-TOF imaging datasets of proteins: practical considerations. Analytical and Bioanalytical Chemistry. 401(1). 167–181. 192 indexed citations
11.

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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