Gregor Fels

1.7k total citations
68 papers, 1.3k citations indexed

About

Gregor Fels is a scholar working on Molecular Biology, Organic Chemistry and Information Systems and Management. According to data from OpenAlex, Gregor Fels has authored 68 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 14 papers in Organic Chemistry and 10 papers in Information Systems and Management. Recurrent topics in Gregor Fels's work include Nicotinic Acetylcholine Receptors Study (12 papers), Scientific Computing and Data Management (10 papers) and Cholinesterase and Neurodegenerative Diseases (9 papers). Gregor Fels is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (12 papers), Scientific Computing and Data Management (10 papers) and Cholinesterase and Neurodegenerative Diseases (9 papers). Gregor Fels collaborates with scholars based in Germany, United States and Italy. Gregor Fels's co-authors include Alfred Maelicke, Henry Rapoport, Jens Krüger, John S. Petersen, Cecilia Bartolucci, Doriano Lamba, Brigitta Elsässer, Edgar Luttmann, Christian Pilger and Emanuele Perola and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Gregor Fels

68 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregor Fels Germany 20 613 375 292 172 107 68 1.3k
Jukka Gynther Finland 27 650 1.1× 351 0.9× 171 0.6× 156 0.9× 339 3.2× 73 1.7k
Bonnie A. Avery United States 25 450 0.7× 607 1.6× 297 1.0× 97 0.6× 132 1.2× 59 1.9k
Pál Perjési Hungary 23 860 1.4× 1.1k 2.8× 374 1.3× 88 0.5× 83 0.8× 132 2.2k
Jacobus J. Bergh South Africa 19 229 0.4× 429 1.1× 250 0.9× 72 0.4× 99 0.9× 37 921
Irina V. Zueva Russia 18 234 0.4× 227 0.6× 330 1.1× 202 1.2× 45 0.4× 47 765
Fernando Cagide Portugal 23 353 0.6× 533 1.4× 369 1.3× 143 0.8× 60 0.6× 64 1.2k
Ryan Walsh Canada 20 514 0.8× 200 0.5× 407 1.4× 243 1.4× 36 0.3× 33 1.2k
Izumi Nakagome Japan 17 542 0.9× 438 1.2× 96 0.3× 385 2.2× 43 0.4× 39 1.3k
George R. Lenz United States 16 659 1.1× 891 2.4× 341 1.2× 310 1.8× 147 1.4× 56 2.0k
Peter Eddershaw United Kingdom 18 464 0.8× 150 0.4× 133 0.5× 525 3.1× 94 0.9× 30 1.5k

Countries citing papers authored by Gregor Fels

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Fels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregor Fels

This figure shows the co-authorship network connecting the top 25 collaborators of Gregor Fels. A scholar is included among the top collaborators of Gregor Fels 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 Gregor Fels. Gregor Fels 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.
Kundisch, Dennis, et al.. (2012). Designing a web-based application to support Peer Instruction for very large Groups. International Conference on Information Systems. 9 indexed citations
2.
Elsässer, Brigitta, et al.. (2012). Theoretical investigation of the enzymatic phosphoryl transfer of β-phosphoglucomutase: revisiting both steps of the catalytic cycle. Journal of Molecular Modeling. 18(7). 3169–3179. 7 indexed citations
3.
Gesing, Sandra, Péter Kacsuk, Miklós Kozlovszky, et al.. (2011). A Science Gateway for Molecular Simulations. RWTH Publications (RWTH Aachen). 3 indexed citations
4.
Elsässer, Brigitta & Gregor Fels. (2010). Atomistic details of the associative phosphodiester cleavage in human ribonuclease H. Physical Chemistry Chemical Physics. 12(36). 11081–11081. 26 indexed citations
5.
Breuers, Sebastian, André Brinkmann, Dirk Blunk, et al.. (2010). Grid-Workflows in Molecular Science. International Journal of Sports Medicine. 42(11). 177–184. 4 indexed citations
6.
Elsässer, Brigitta & Gregor Fels. (2010). Nucleotide docking: prediction of reactant state complexes for ribonuclease enzymes. Journal of Molecular Modeling. 17(8). 1953–1962. 3 indexed citations
7.
Luttmann, Edgar, et al.. (2009). Structural Model for the Binding Sites of Allosterically Potentiating Ligands on Nicotinic Acetylcholine Receptors. ChemMedChem. 4(11). 1874–1882. 27 indexed citations
8.
Witte, T., et al.. (2007). Time resolved structure analysis of growing β-amyloid fibers. Journal of Structural Biology. 159(1). 71–81. 12 indexed citations
9.
Claus, Harald, et al.. (2006). TNT transformation products are affected by the growth conditions of Raoultella terrigena. Biotechnology Letters. 29(3). 411–419. 14 indexed citations
10.
Claus, H., et al.. (2006). Transformation of 2,4,6-trinitrotoluene (TNT) by Raoultella terrigena. Biodegradation. 18(1). 27–35. 29 indexed citations
11.
Kröger, Mario & Gregor Fels. (2006). Combined biological–chemical procedure for the mineralization of TNT. Biodegradation. 18(4). 413–425. 9 indexed citations
12.
Alisaraie, Laleh & Gregor Fels. (2005). Molecular docking study on the “back door” hypothesis for product clearance in acetylcholinesterase. Journal of Molecular Modeling. 12(3). 348–354. 9 indexed citations
13.
Kröger, Mario, et al.. (2004). Biological Reduction of TNT as Part of a Combined Biological–Chemical Procedure for Mineralization. Biodegradation. 15(4). 241–248. 16 indexed citations
14.
Luttmann, Edgar, et al.. (2002). Galanthamine as bis -functional ligand for the acetylcholinesterase. Journal of Molecular Modeling. 8(6). 208–216. 23 indexed citations
15.
Bartolucci, Cecilia, Emanuele Perola, Christian Pilger, Gregor Fels, & Doriano Lamba. (2000). Three-dimensional structure of a complex of galanthamine (Nivalin�) with acetylcholinesterase fromTorpedo californica: Implications for the design of new anti-Alzheimer drugs. Proteins Structure Function and Bioinformatics. 42(2). 182–191. 124 indexed citations
16.
Domik, Gitta, et al.. (1996). An Experimental Comparison of 3D Display Modes. IEEE Visualization. 1 indexed citations
17.
Fels, Gregor. (1996). Tolperisone: Evaluation of the Lidocaine‐Like Activity by Molecular Modeling. Archiv der Pharmazie. 329(4). 171–178. 18 indexed citations
18.
Maelicke, Alfred, et al.. (1989). Epitope mapping employing antibodies raised against short synthetic peptides: a study of the nicotinic acetylcholine receptor. Biochemistry. 28(3). 1396–1405. 42 indexed citations
19.
Maelicke, Alfred, et al.. (1988). Antibodies as Probes of the Structure and Function of the Nicotinic Acetylcholine Receptor. Journal of Receptor Research. 8(1-4). 133–142. 4 indexed citations
20.
Maelicke, Alfred, et al.. (1987). Specific Immunosorbents in Diagnosis and Management of Myasthenia Gravisa. Annals of the New York Academy of Sciences. 505(1). 669–675. 1 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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