Rainer Cramer

7.9k total citations
136 papers, 5.3k citations indexed

About

Rainer Cramer is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Rainer Cramer has authored 136 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Molecular Biology, 81 papers in Spectroscopy and 14 papers in Cell Biology. Recurrent topics in Rainer Cramer's work include Mass Spectrometry Techniques and Applications (68 papers), Advanced Proteomics Techniques and Applications (61 papers) and Metabolomics and Mass Spectrometry Studies (33 papers). Rainer Cramer is often cited by papers focused on Mass Spectrometry Techniques and Applications (68 papers), Advanced Proteomics Techniques and Applications (61 papers) and Metabolomics and Mass Spectrometry Studies (33 papers). Rainer Cramer collaborates with scholars based in United Kingdom, United States and Germany. Rainer Cramer's co-authors include John F. Timms, Laurence V. Bindschedler, Franz Hillenkamp, Michael D. Waterfield, Magnus Palmblad, Anne J. Ridley, Eckhard Nordhoff, Giles O. Cory, Michael Karas and Alma L. Burlingame and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Rainer Cramer

136 papers receiving 5.2k 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 Cramer United Kingdom 41 3.1k 2.1k 694 682 372 136 5.3k
Ron Orlando United States 39 3.2k 1.0× 1.8k 0.9× 856 1.2× 437 0.6× 394 1.1× 146 5.2k
Jérôme Lemoine France 38 2.8k 0.9× 1.7k 0.8× 462 0.7× 327 0.5× 232 0.6× 152 4.7k
Zhouxin Shen United States 45 3.9k 1.3× 1.4k 0.7× 2.0k 2.9× 573 0.8× 292 0.8× 91 6.5k
Michael S. Westphall United States 44 4.0k 1.3× 3.6k 1.7× 272 0.4× 356 0.5× 622 1.7× 111 6.5k
James E. Bruce United States 50 4.4k 1.4× 4.2k 2.0× 267 0.4× 651 1.0× 516 1.4× 159 7.2k
Garry L. Corthals Finland 35 3.2k 1.0× 2.0k 1.0× 209 0.3× 428 0.6× 340 0.9× 97 5.2k
Richard A. Scheltema Netherlands 34 5.3k 1.7× 2.1k 1.0× 463 0.7× 822 1.2× 247 0.7× 62 7.5k
Andrew N. Krutchinsky United States 27 3.2k 1.0× 1.1k 0.5× 279 0.4× 361 0.5× 150 0.4× 42 4.4k
David Schieltz United States 29 5.7k 1.8× 2.6k 1.2× 553 0.8× 718 1.1× 293 0.8× 49 7.3k
Christoph Eckerskorn Germany 48 4.7k 1.5× 1.0k 0.5× 751 1.1× 696 1.0× 384 1.0× 116 6.6k

Countries citing papers authored by Rainer Cramer

Since Specialization
Citations

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

Fields of papers citing papers by Rainer Cramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rainer Cramer

This figure shows the co-authorship network connecting the top 25 collaborators of Rainer Cramer. A scholar is included among the top collaborators of Rainer Cramer 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 Cramer. Rainer Cramer 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.
Castelletto, Valeria, Jani Seitsonen, Janne Ruokolainen, et al.. (2020). Peptide nanotubes self-assembled from leucine-rich alpha helical surfactant-like peptides. Chemical Communications. 56(80). 11977–11980. 17 indexed citations
2.
Cramer, Rainer, et al.. (2016). Proteomic analysis of the medicinal plant Artemisia annua: Data from leaf and trichome extracts. Data in Brief. 7. 325–331. 16 indexed citations
3.
Timms, John F., Oliver J. Hale, & Rainer Cramer. (2016). Advances in mass spectrometry-based cancer research and analysis: from cancer proteomics to clinical diagnostics. Expert Review of Proteomics. 13(6). 593–607. 14 indexed citations
4.
Cramer, Rainer, Alexander Pirkl, Franz Hillenkamp, & Klaus Dreisewerd. (2013). AP‐UV‐MALDI mit flüssigen Matrizes: stabile Ionenausbeuten von mehrfach geladenen Peptid‐ und Proteinionen für die empfindliche Massenspektrometrie. Angewandte Chemie. 125(8). 2420–2424. 1 indexed citations
5.
Cramer, Rainer, Alexander Pirkl, Franz Hillenkamp, & Klaus Dreisewerd. (2013). Liquid AP‐UV‐MALDI Enables Stable Ion Yields of Multiply Charged Peptide and Protein Ions for Sensitive Analysis by Mass Spectrometry. Angewandte Chemie International Edition. 52(8). 2364–2367. 59 indexed citations
6.
Cramer, Rainer & Reiner Westermeier. (2012). Difference Gel Electrophoresis (DIGE). Methods in molecular biology. 7 indexed citations
7.
Bauer, Chris, Frank Kleinjung, Celia Smith, et al.. (2011). Biomarker Discovery and Redundancy Reduction towards Classification using a Multi-factorial MALDI-TOF MS T2DM Mouse Model Dataset. BMC Bioinformatics. 12(1). 140–140. 5 indexed citations
8.
Fenton, Tim R., et al.. (2010). S6K1 is acetylated at lysine 516 in response to growth factor stimulation. Biochemical and Biophysical Research Communications. 398(3). 400–405. 16 indexed citations
9.
Bindschedler, Laurence V., Magnus Palmblad, & Rainer Cramer. (2008). Hydroponic isotope labelling of entire plants (HILEP) for quantitative plant proteomics; an oxidative stress case study. Phytochemistry. 69(10). 1962–1972. 83 indexed citations
10.
Timms, John F. & Rainer Cramer. (2008). Difference gel electrophoresis. PROTEOMICS. 8(23-24). 4886–4897. 190 indexed citations
11.
Towers, Mark & Rainer Cramer. (2007). Liquid matrices for analyses by UV-MALDI mass spectrometry. BMC Public Health. 10. 708–708. 6 indexed citations
12.
Tiss, Ali, Celia Smith, Stéphane Camuzeaux, et al.. (2007). Serum Peptide Profiling using MALDI Mass Spectrometry. PROTEOMICS. 7(S1). 77–89. 50 indexed citations
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Naaby‐Hansen, Søren, et al.. (2005). Proteomic Approaches in the Analysis of Hypertension. Hypertension. 108. 275–296. 1 indexed citations
16.
Norden, Anthony G.W., et al.. (2004). Quantitative amino acid and proteomic analysis: Very low excretion of polypeptides >750 Da in normal urine. Kidney International. 66(5). 1994–2003. 56 indexed citations
17.
Panaretou, Barry, Giuliano Siligardi, Philippe Meyer, et al.. (2002). Activation of the ATPase Activity of Hsp90 by the Stress-Regulated Cochaperone Aha1. Molecular Cell. 10(6). 1307–1318. 415 indexed citations
18.
Naaby‐Hansen, Søren, Michael D. Waterfield, & Rainer Cramer. (2001). Proteomics – post-genomic cartography to understand gene function. Trends in Pharmacological Sciences. 22(7). 376–384. 80 indexed citations
19.
Cramer, Rainer & Alma L. Burlingame. (2000). Employing target modifications for the investigation of liquid infrared matrix-assisted laser desorption/ionization mass spectrometry. Rapid Communications in Mass Spectrometry. 14(2). 53–60. 16 indexed citations
20.
Nordhoff, Eckhard, Arnd Ingendoh, Rainer Cramer, et al.. (1992). Matrix‐assisted laser desorption/ionization mass spectrometry of nucleic acids with wavelengths in the ultraviolet and infrared. Rapid Communications in Mass Spectrometry. 6(12). 771–776. 238 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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