Klaus Wagner

1.2k total citations · 1 hit paper
17 papers, 1.0k citations indexed

About

Klaus Wagner is a scholar working on Molecular Biology, Spectroscopy and Pharmacology. According to data from OpenAlex, Klaus Wagner has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Spectroscopy and 5 papers in Pharmacology. Recurrent topics in Klaus Wagner's work include Advanced NMR Techniques and Applications (5 papers), Microbial Natural Products and Biosynthesis (3 papers) and Analytical Chemistry and Chromatography (3 papers). Klaus Wagner is often cited by papers focused on Advanced NMR Techniques and Applications (5 papers), Microbial Natural Products and Biosynthesis (3 papers) and Analytical Chemistry and Chromatography (3 papers). Klaus Wagner collaborates with scholars based in Germany, United States and United Kingdom. Klaus Wagner's co-authors include Horst Kessler, Christian Griesinger, Richard R. Ernst, Rainer Kerssebaum, Wolfhard Engel, G. Trummlitz, Peter Luger, Jan W. Bats, Olivier Potterat and Carsten Puder and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Organic Chemistry and Journal of Pharmaceutical Sciences.

In The Last Decade

Klaus Wagner

17 papers receiving 982 citations

Hit Papers

Separation of cross-relaxation and J cross-peaks in 2D ro... 1987 2026 2000 2013 1987 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Klaus Wagner Germany 13 544 293 264 148 124 17 1.0k
Alexandr Jegorov Czechia 22 534 1.0× 283 1.0× 205 0.8× 285 1.9× 138 1.1× 104 1.4k
Roger M. Brunne Germany 13 887 1.6× 224 0.8× 412 1.6× 188 1.3× 271 2.2× 20 1.5k
Chad E. Hadden United States 21 479 0.9× 476 1.6× 286 1.1× 152 1.0× 61 0.5× 55 1.1k
Alexei V. Buevich United States 23 762 1.4× 628 2.1× 614 2.3× 180 1.2× 191 1.5× 96 1.7k
Dolores Díaz Spain 17 654 1.2× 199 0.7× 388 1.5× 42 0.3× 130 1.0× 43 1.1k
Que N. Van United States 20 694 1.3× 409 1.4× 310 1.2× 55 0.4× 115 0.9× 32 1.3k
Rudolph K. Kullnig United States 19 391 0.7× 206 0.7× 729 2.8× 104 0.7× 91 0.7× 45 1.2k
Robert J. Cushley Canada 27 1.3k 2.3× 348 1.2× 442 1.7× 163 1.1× 142 1.1× 98 2.0k
Gwendolyn N. Chmurny United States 19 342 0.6× 158 0.5× 308 1.2× 171 1.2× 66 0.5× 41 981
Francisco Sánchez‐Ferrando Spain 18 261 0.5× 296 1.0× 441 1.7× 45 0.3× 107 0.9× 50 903

Countries citing papers authored by Klaus Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Klaus Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaus Wagner

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

All Works

17 of 17 papers shown
2.
Xin, Dongyue, Paul‐James Jones, Klaus Wagner, et al.. (2017). Development of a 13C NMR Chemical Shift Prediction Procedure Using B3LYP/cc-pVDZ and Empirically Derived Systematic Error Correction Terms: A Computational Small Molecule Structure Elucidation Method. The Journal of Organic Chemistry. 82(10). 5135–5145. 64 indexed citations
3.
Gonnella, Nina C., Carl A. Busacca, Li Zhang, et al.. (2016). Structure Elucidation of Poly-Faldaprevir: Polymer Backbone Solved Using Solid-State and Solution Nuclear Magnetic Resonance Spectroscopy. Journal of Pharmaceutical Sciences. 105(6). 1881–1890. 1 indexed citations
4.
Taub, Mitchell E., Eva Ludwig-Schwellinger, Naoki Ishiguro, et al.. (2014). Sex-, Species-, and Tissue-Specific Metabolism of Empagliflozin in Male Mouse Kidney Forms an Unstable Hemiacetal Metabolite (M466/2) That Degrades to 4-Hydroxycrotonaldehyde, a Reactive and Cytotoxic Species. Chemical Research in Toxicology. 28(1). 103–115. 30 indexed citations
5.
Potterat, Olivier, et al.. (2007). Chlorocyclinones A−D, Chlorinated Angucyclinones from Streptomyces sp. Strongly Antagonizing Rosiglitazone-Induced PPAR-γ Activation. Journal of Natural Products. 70(12). 1934–1938. 12 indexed citations
6.
Bruntner, Christina, Wasu Pathom‐aree, Michael Goodfellow, et al.. (2005). Frigocyclinone, a Novel Angucyclinone Antibiotic Produced by a Streptomyces griseus Strain from Antarctica. The Journal of Antibiotics. 58(5). 346–349. 64 indexed citations
7.
Puder, Carsten, et al.. (2005). Terphenylquinone Inhibitors of the Src Protein Tyrosine Kinase fromStilbellasp.. Journal of Natural Products. 68(3). 323–326. 31 indexed citations
8.
Wagner, Klaus, Jacob de Jong, Giancarlo Biancotto, et al.. (2004). Liquid Chromatographic Method to Determine Narasin in Feedingstuffs and Premixtures: Development, Validation, and Interlaboratory Study. Journal of AOAC International. 87(6). 1278–1286. 12 indexed citations
9.
Potterat, Olivier, Klaus Wagner, Gerd Gemmecker, et al.. (2004). BI-32169, a Bicyclic 19-Peptide with Strong Glucagon Receptor Antagonist Activity from Streptomyces sp.. Journal of Natural Products. 67(9). 1528–1531. 67 indexed citations
10.
Luger, Peter, et al.. (1996). Structure and physicochemical properties of meloxicam, a new NSAID. European Journal of Pharmaceutical Sciences. 4(3). 175–187. 202 indexed citations
11.
Kessler, Horst, et al.. (1989). Conformational analysis of cyclic peptides in solution. Biopolymers. 28(1). 385–395. 6 indexed citations
12.
Kessler, Horst, et al.. (1988). Peptide conformations. 46. Conformational analysis of a superpotent cytoprotective cyclic somatostatin analog. Journal of the American Chemical Society. 110(4). 1033–1049. 110 indexed citations
13.
Kessler, Horst, et al.. (1988). Peptide conformation. International journal of peptide & protein research. 31(5). 481–498. 15 indexed citations
14.
Bermel, Wolfgang, Christian Griesinger, Horst Kessler, & Klaus Wagner. (1987). Assignment of carbonyl groups and sequence analysis in peptides by inverse correlation using long‐range couplings. Magnetic Resonance in Chemistry. 25(4). 325–326. 25 indexed citations
15.
Kessler, Horst, Christian Griesinger, Rainer Kerssebaum, Klaus Wagner, & Richard R. Ernst. (1987). Separation of cross-relaxation and J cross-peaks in 2D rotating-frame NMR spectroscopy. Journal of the American Chemical Society. 109(2). 607–609. 289 indexed citations breakdown →
16.
17.
Kessler, Horst, et al.. (1986). Conformational Prerequisites for the in vitro Inhibition of Cholate Uptake in Hepatocytes by Cyclic Analogues of Antamanide and Somatostatin. Angewandte Chemie International Edition in English. 25(11). 997–999. 55 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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