Klaus‐Peter Neidig

824 total citations
24 papers, 653 citations indexed

About

Klaus‐Peter Neidig is a scholar working on Molecular Biology, Spectroscopy and Nuclear and High Energy Physics. According to data from OpenAlex, Klaus‐Peter Neidig has authored 24 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Spectroscopy and 11 papers in Nuclear and High Energy Physics. Recurrent topics in Klaus‐Peter Neidig's work include Protein Structure and Dynamics (11 papers), NMR spectroscopy and applications (11 papers) and Enzyme Structure and Function (8 papers). Klaus‐Peter Neidig is often cited by papers focused on Protein Structure and Dynamics (11 papers), NMR spectroscopy and applications (11 papers) and Enzyme Structure and Function (8 papers). Klaus‐Peter Neidig collaborates with scholars based in Germany, United States and Poland. Klaus‐Peter Neidig's co-authors include Hans Robert Kalbitzer, Wolfram Gronwald, Till Maurer, Frank Schumann, Rainer Saffrich, Matthias Geyer, Werner Kremer, Michael G. Lorenz, Hartmut Oschkinat and Astrid Jung and has published in prestigious journals such as Biochemical and Biophysical Research Communications, ChemPhysChem and Physica B Condensed Matter.

In The Last Decade

Klaus‐Peter Neidig

24 papers receiving 639 citations

Peers

Klaus‐Peter Neidig

SPECT

NHEP

RNMI

Peter W. A. Howe United Kingdom

Christian Cieslar Germany

Wenqing Feng United States

Alexandar L. Hansen United States

Kousik Chandra India

Abhinav Dubey India

Kentaro Iwata Japan

Sakurako Shimotakahara Japan

Michał Nowakowski Poland

Jasna Fejzo United States

Peter W. A. Howe United Kingdom

Klaus‐Peter Neidig

609 ×1.2

82 ×0.4

120 ×0.7

SPECT

89 ×0.9

NHEP

62 ×1.2

RNMI

Citations per year, relative to Klaus‐Peter Neidig Klaus‐Peter Neidig (= 1×) peers Peter W. A. Howe

Countries citing papers authored by Klaus‐Peter Neidig

Since Specialization

Citations

This map shows the geographic impact of Klaus‐Peter Neidig'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 Neidig 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 Neidig more than expected).

Fields of papers citing papers by Klaus‐Peter Neidig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Bermel, Wolfgang, et al.. (2014). Two‐Dimensional NMR Spectroscopy with Temperature‐Sweep. ChemPhysChem. 15(11). 2217–2220. 18 indexed citations

Kremer, Werner, et al.. (2011). Singular spectrum analysis for an automated solvent artifact removal and baseline correction of 1D NMR spectra. Journal of Magnetic Resonance. 210(2). 177–183. 5 indexed citations

Baskaran, Kumaran, Fritz Huber, K. Brunner, et al.. (2009). Chemical shift optimization in multidimensional NMR spectra by AUREMOL-SHIFTOPT. Journal of Biomolecular NMR. 43(4). 197–210. 2 indexed citations

Schumann, Frank, et al.. (2007). Combined chemical shift changes and amino acid specific chemical shift mapping of protein–protein interactions. Journal of Biomolecular NMR. 39(4). 275–289. 190 indexed citations

Gronwald, Wolfram, et al.. (2006). AUREMOL-RFAC-3D, combination of R-factors and their use for automated quality assessment of protein solution structures. Journal of Biomolecular NMR. 37(1). 15–30. 7 indexed citations

Brunner, K., et al.. (2006). A general method for the unbiased improvement of solution NMR structures by the use of related X-Ray data, the AUREMOL-ISIC algorithm. BMC Structural Biology. 6(1). 14–14. 5 indexed citations

Gronwald, Wolfram, et al.. (2004). Improved simulation of NOESY spectra by RELAX-JT2 including effects of J-coupling, transverse relaxation and chemical shift anisotropy. Journal of Biomolecular NMR. 30(2). 121–131. 9 indexed citations

Gronwald, Wolfram, Sherif A. Abdelmottaleb Moussa, Astrid Jung, et al.. (2002). Automated assignment of NOESY NMR spectra using a knowledge based method (KNOWNOE). Journal of Biomolecular NMR. 23(4). 271–287. 44 indexed citations

Gronwald, Wolfram, et al.. (2000). RFAC, a program for automated NMR R-factor estimation. Journal of Biomolecular NMR. 17(2). 137–151. 41 indexed citations

10.

Gronwald, Wolfram, et al.. (1999). Computer Assisted Assignment of13C or15N Edited 3D-NOESY–HSQC Spectra Using Back Calculated and Experimental Spectra. Journal of Magnetic Resonance. 137(1). 39–45. 23 indexed citations

11.

Kremer, Werner, et al.. (1999). Determination of Mean and Standard Deviation of Dihedral Angles. Biochemical and Biophysical Research Communications. 257(2). 348–350. 14 indexed citations

12.

Croft, David, Johan Kemmink, Klaus‐Peter Neidig, & Hartmut Oschkinat. (1997). Tools for the automated assignment of high-resolution three-dimensional protein NMR spectra based on pattern recognition techniques. Journal of Biomolecular NMR. 10(3). 207–219. 19 indexed citations

13.

Schulte, Anja‐Carina, et al.. (1997). Use of Global Symmetries in Automated Signal Class Recognition by a Bayesian Method. Journal of Magnetic Resonance. 129(2). 165–172. 10 indexed citations

14.

Neidig, Klaus‐Peter, et al.. (1995). A general Bayesian method for an automated signal class recognition in 2D NMR spectra combined with a multivariate discriminant analysis. Journal of Biomolecular NMR. 5(3). 287–96. 39 indexed citations

15.

Neidig, Klaus‐Peter, et al.. (1995). AURELIA, a program for computer-aided analysis of multidimensional NMR spectra. Journal of Biomolecular NMR. 6(3). 255–70. 91 indexed citations

16.

Geyer, Matthias, Klaus‐Peter Neidig, & Hans Robert Kalbitzer. (1995). Automated Peak Integration in Multidimensional NMR Spectra by an Optimized Iterative Segmentation Procedure. Journal of Magnetic Resonance Series B. 109(1). 31–38. 15 indexed citations

17.

Mitschang, Lorenz, Klaus‐Peter Neidig, & Hans Robert Kalbitzer. (1990). Suppression of oscillatory artifacts in two-dimensional NMR spectra. Journal of Magnetic Resonance (1969). 90(2). 359–362. 4 indexed citations

18.

Neidig, Klaus‐Peter, Rainer Saffrich, Michael G. Lorenz, & Hans Robert Kalbitzer. (1990). Cluster analysis and multiplet pattern recognition in two-dimensional NMR spectra. Journal of Magnetic Resonance (1969). 89(3). 543–552. 18 indexed citations

19.

Neidig, Klaus‐Peter & Hans Robert Kalbitzer. (1988). Improvement of 2D NMR spectra by matching symmetry‐related spectral features. Magnetic Resonance in Chemistry. 26(10). 848–851. 17 indexed citations

20.

Neidig, Klaus‐Peter, et al.. (1984). Computer aided evaluation of two-dimensional NMR spectra of proteins. Biochemical and Biophysical Research Communications. 125(3). 1143–1150. 43 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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