Ingo Konetzki
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling 4
- Glycosylation and Glycoproteins Research 1
- Natural product bioactivities and synthesis 1
- Animal Science and Zoology top 5%
- Pharmacological Effects and Assays 2
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- Microbial Natural Products and Biosynthesis 3
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- Asthma and respiratory diseases 3
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- Carbohydrate Chemistry and Synthesis 3
- Chemical synthesis and alkaloids 2
- Co-authors
- Paola CasarosaAndreas SchnappAlois FürstnerTong Sun KobilkaSøren G. F. RasmussenPil Seok ChaeFoon Sun ThianAlexander Pautsch
- Cited by
- Cellular and Molecular NeuroscienceMolecular BiologyRadiology, Nuclear Medicine and Imaging
- Journals
- Nature (1 paper)Journal of the American Chemical Society (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Ingo Konetzki
10 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Cellular and Molecular Neuroscience 761
- Molecular Biology 1.5k
- Radiology, Nuclear Medicine and Imaging 347
- Animal Science and Zoology 112
- Computational Theory and Mathematics 140
Countries citing papers authored by Ingo Konetzki
This map shows the geographic impact of Ingo Konetzki'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 Ingo Konetzki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingo Konetzki more than expected).
Fields of papers citing papers by Ingo Konetzki
This network shows the impact of papers produced by Ingo Konetzki. 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 Ingo Konetzki. The network helps show where Ingo Konetzki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ingo Konetzki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Structure of a nanobody-stabilized active state of the β2 adrenoceptorbreakdown → | 2011 | 1337 |
| 2 | 2010 | 64 | |
| 3 | 2010 | 98 | |
| 4 | 2010 | 0 | |
| 5 | 2009 | 24 | |
| 6 | 2009 | 15 | |
| 7 | 2002 | 62 | |
| 8 | 1999 | 12 | |
| 9 | 1998 | 42 | |
| 10 | 1998 | 58 | |
| 11 | 1996 | 60 |
About Ingo Konetzki
Ingo Konetzki is a scholar working on Pharmacology, Animal Science and Zoology and Organic Chemistry, having authored 11 papers that have together received 1.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Asthma and respiratory diseases (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Chemical synthesis and alkaloids (2 papers), Pharmacological Effects and Assays (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Natural product bioactivities and synthesis (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (761 citations), Molecular Biology (1.5k citations) and Radiology, Nuclear Medicine and Imaging (347 citations). Ingo Konetzki has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Paola Casarosa, Andreas Schnapp, Alois Fürstner, Tong Sun Kobilka, Søren G. F. Rasmussen, Pil Seok Chae, Foon Sun Thian, Alexander Pautsch, Els Pardon and Daniel M. Rosenbaum. Their work appears in journals such as Nature, Journal of the American Chemical Society and Journal of Pharmacology and Experimental Therapeutics.
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.