Gerhard König

5.9k citations
118 papers · 4.5k indexed · 1 hit paper · h-index 36

Impact in

Papers in

Gerhard König

115 papers receiving 4.4k citations

Hit Papers

Identification, biogenesis, and localization of precursors of Alzheimer's disease A4 amyloid protein 1989 · 1.0k citations
1.0k19892026200120132505007501000

Peers

Gerhard König
Comparison fields: 5 of 163
  • Physiology 1.8k
  • Fluid Flow and Transfer Processes 394
  • Neurology 258
  • Molecular Biology 2.1k
  • Computational Theory and Mathematics 423
Replace Aleksey Lomakin with:
Aleksey Lomakin United States
Joan–Emma Shea United States
Pier Luigi San Biagio Italy
Guo Chen China
Theresa M. McIntire United States
Martin Muschol United States
Steffen B. Petersen Denmark
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Citations per field
00.5×4.9×
Aleksey Lomakin · 1×
Citations per year

Countries citing papers authored by Gerhard König

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard König

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gerhard König, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gerhard König Line = papers co-authored together Gerhard König links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202340
2 20231
3 202214
4 202155
5 202136
6 202113
7 202024
8 202019
9 201717
10 201463
11 2011174
12 201064
13 200432
14 1996102
15 199414
16 199458
17 199146
18 1990109
19 198751
20 19824

About Gerhard König

Gerhard König is a scholar working on Fluid Flow and Transfer Processes, Atomic and Molecular Physics, and Optics, Physiology, Molecular Biology and Automotive Engineering, having authored 118 papers that have together received 4.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (26 papers), Spectroscopy and Quantum Chemical Studies (25 papers), Alzheimer's disease research and treatments (17 papers), Advanced Chemical Physics Studies (12 papers), Advanced Combustion Engine Technologies (10 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers), Systemic Sclerosis and Related Diseases (8 papers) and Machine Learning in Materials Science (6 papers). The work is most often cited by research in Physiology (1.8k citations), Fluid Flow and Transfer Processes (394 citations), Neurology (258 citations), Molecular Biology (2.1k citations) and Computational Theory and Mathematics (423 citations). Gerhard König has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Konrad Beyreuther, Colin L. Masters, Andreas Weidemann, Dirk Bunke, Peter Fischer, J. Michael Salbaum, Stefan Boresch, Bernard R. Brooks, C.G.W. Sheppard and G Fruhmann. Their work appears in journals such as Journal of Chemical Theory and Computation, Journal of Computer-Aided Molecular Design, SAE technical papers on CD-ROM/SAE technical paper series, Annals of the New York Academy of Sciences and Journal of Biological Chemistry.

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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