Klaus‐Peter Pleißner

1.8k total citations · 1 hit paper
16 papers, 1.3k citations indexed

About

Klaus‐Peter Pleißner is a scholar working on Molecular Biology, Spectroscopy and Surgery. According to data from OpenAlex, Klaus‐Peter Pleißner has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Spectroscopy and 2 papers in Surgery. Recurrent topics in Klaus‐Peter Pleißner's work include Advanced Proteomics Techniques and Applications (7 papers), Genomics and Phylogenetic Studies (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). Klaus‐Peter Pleißner is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), Genomics and Phylogenetic Studies (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). Klaus‐Peter Pleißner collaborates with scholars based in Germany, United States and Austria. Klaus‐Peter Pleißner's co-authors include Thomas F. Meyer, Peter R. Jungblut, Thorsten Wolff, Nikolaus Machuy, Thomas Rudel, Simone Heß, Yujin Shin, Anita Artarini, Lesley A. Ogilvie and Alexander Karlas and has published in prestigious journals such as Nature, International Journal of Cancer and PLoS Genetics.

In The Last Decade

Klaus‐Peter Pleißner

16 papers receiving 1.2k citations

Hit Papers

Genome-wide RNAi screen identifies human host factors cru... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Klaus‐Peter Pleißner Germany 12 715 395 375 253 224 16 1.3k
Luc Selig France 11 1.4k 1.9× 337 0.9× 300 0.8× 74 0.3× 138 0.6× 12 2.2k
Eustache Paramithiotis Canada 16 277 0.4× 468 1.2× 148 0.4× 30 0.1× 184 0.8× 32 1.0k
Alan P. Lewis United Kingdom 17 838 1.2× 238 0.6× 245 0.7× 65 0.3× 58 0.3× 24 1.3k
Laurence O. Whiteley United States 20 596 0.8× 248 0.6× 98 0.3× 35 0.1× 82 0.4× 47 1.4k
Jean‐François Haeuw France 21 944 1.3× 603 1.5× 241 0.6× 177 0.7× 27 0.1× 35 1.8k
Alexis Kaushansky United States 24 564 0.8× 307 0.8× 237 0.6× 68 0.3× 44 0.2× 57 1.6k
Jeff G. Hall United States 15 795 1.1× 75 0.2× 411 1.1× 65 0.3× 57 0.3× 19 1.4k
Erika Hundt Germany 19 611 0.9× 500 1.3× 144 0.4× 12 0.0× 217 1.0× 34 1.5k
Anders Alderborn Sweden 15 495 0.7× 88 0.2× 185 0.5× 28 0.1× 55 0.2× 27 895
Nathan P. Manes United States 19 582 0.8× 160 0.4× 121 0.3× 205 0.8× 41 0.2× 39 952

Countries citing papers authored by Klaus‐Peter Pleißner

Since Specialization
Citations

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

Fields of papers citing papers by Klaus‐Peter Pleißner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Klaus‐Peter Pleißner. 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 Klaus‐Peter Pleißner. The network helps show where Klaus‐Peter Pleißner may publish in the future.

Co-authorship network of co-authors of Klaus‐Peter Pleißner

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

All Works

16 of 16 papers shown
1.
Karlas, Alexander, Nikolaus Machuy, Yujin Shin, et al.. (2010). Genome-wide RNAi screen identifies human host factors crucial for influenza virus replication. Nature. 463(7282). 818–822. 572 indexed citations breakdown →
2.
Jungblut, Peter R., Ursula Zimny‐Arndt, Renate Ackermann, et al.. (2009). Helicobacter pylori proteomics by 2‐DE/MS, 1‐DE‐LC/MS and functional data mining. PROTEOMICS. 10(2). 182–193. 35 indexed citations
3.
Schmidt, Frank, Monika Schmid, Bernd Thiede, et al.. (2009). Assembling proteomics data as a prerequisite for the analysis of large scale experiments. Chemistry Central Journal. 3(1). 4 indexed citations
4.
Hoehenwarter, Wolfgang, Yajun Tang, Renate Ackermann, et al.. (2008). Identification of proteins that modify cataract of mouse eye lens. PROTEOMICS. 8(23-24). 5011–5024. 19 indexed citations
5.
Linz, Bodo, Rohit Ghai, Klaus‐Peter Pleißner, et al.. (2005). Gain and Loss of Multiple Genes During the Evolution of Helicobacter pylori. PLoS Genetics. 1(4). e43–e43. 187 indexed citations
6.
Krah, Alexander, et al.. (2004). Assessment of protein spot components applying correspondence analysis for peptide mass fingerprint data. PROTEOMICS. 4(10). 2982–2986. 7 indexed citations
7.
Pleißner, Klaus‐Peter, T. Eifert, Frank Schmidt, et al.. (2004). Web‐accessible proteome databases for microbial research. PROTEOMICS. 4(5). 1305–1313. 34 indexed citations
8.
Pleißner, Klaus‐Peter, et al.. (2004). Short Communication – Presentation of differentially regulated proteins within a web‐accessible proteome database system of microorganisms. PROTEOMICS. 4(10). 2987–2990. 4 indexed citations
9.
Krah, Alexander, Stephan Miehlke, Klaus‐Peter Pleißner, et al.. (2003). Identification of candidate antigens for serologic detection of Helicobacter pylori‐infected patients with gastric carcinoma. International Journal of Cancer. 108(3). 456–463. 46 indexed citations
10.
Schmidt, Frank, Monika Schmid, Peter R. Jungblut, et al.. (2003). Iterative data analysis is the key for exhaustive analysis of peptide mass fingerprints from proteins separated by two-dimensional electrophoresis. Journal of the American Society for Mass Spectrometry. 14(9). 943–956. 61 indexed citations
11.
Pleißner, Klaus‐Peter, et al.. (1999). A two-dimensional electrophoresis database of rat heart proteins. Electrophoresis. 20(4-5). 891–897. 38 indexed citations
12.
Jungblut, Peter R., Ursula Zimny‐Arndt, Evelyn Zeindl‐Eberhart, et al.. (1999). Proteomics in human disease: Cancer, heart and infectious diseases. Electrophoresis. 20(10). 2100–2110. 152 indexed citations
13.
Pleißner, Klaus‐Peter, Frank Hoffmann, Klaus Kriegel, et al.. (1999). New algorithmic approaches to protein spot detection and pattern matching in two-dimensional electrophoresis gel databases. Electrophoresis. 20(4-5). 755–765. 62 indexed citations
14.
Jungblut, Peter R., Ursula Zimny‐Arndt, Evelyn Zeindl‐Eberhart, et al.. (1999). Proteomics in human disease: Cancer, heart and infectious diseases. Electrophoresis. 20(10). 2100–2110. 6 indexed citations
15.
Pleißner, Klaus‐Peter, et al.. (1998). Effects of renovascular hypertension on myocardial protein patterns: Analysis by computer‐assisted two‐dimensional gel electrophoresis. Electrophoresis. 19(11). 2043–2050. 14 indexed citations
16.
Pleißner, Klaus‐Peter, Stefan Sander, H. Oswald, Vera Regitz‐Zagrosek, & Eckart Fleck. (1996). The construction of the World Wide Web‐accessible myocardial two‐dimensional gel electrophoresis protein database “HEART‐2DPAGE”: A practical approach. Electrophoresis. 17(8). 1386–1392. 39 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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