Gerta Cami‐Kobeci
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- Neuropeptides and Animal Physiology 16
- Neurotransmitter Receptor Influence on Behavior 2
- Inorganic Chemistry top 5%
- Asymmetric Hydrogenation and Catalysis 3
- Organic Chemistry top 10%
- Physiology top 10%
- Pain Mechanisms and Treatments 8
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- Receptor Mechanisms and Signaling 14
- Pharmacological Receptor Mechanisms and Effects 4
- Chemical Synthesis and Analysis 2
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- Gastrointestinal motility and disorders 2
- Co-authors
- Jonathan M. J. WilliamsStephen M. HusbandsPaul A. SlatfordMichael K. WhittleseyTaline V. KhroyanWillma E. PolgarLawrence TollPaul W. Czoty
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Chemical Communications (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United KingdomUnited StatesPoland
In The Last Decade
Gerta Cami‐Kobeci
22 papers receiving 708 citations
Peers
Comparison fields: 5 of 76
- Process Chemistry and Technology 79
- Cellular and Molecular Neuroscience 328
- Inorganic Chemistry 231
- Organic Chemistry 210
- Physiology 190
Countries citing papers authored by Gerta Cami‐Kobeci
This map shows the geographic impact of Gerta Cami‐Kobeci'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 Gerta Cami‐Kobeci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerta Cami‐Kobeci more than expected).
Fields of papers citing papers by Gerta Cami‐Kobeci
This network shows the impact of papers produced by Gerta Cami‐Kobeci. 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 Gerta Cami‐Kobeci. The network helps show where Gerta Cami‐Kobeci may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerta Cami‐Kobeci, 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 | 2022 | 8 | |
| 2 | 2022 | 2 | |
| 3 | 2020 | 27 | |
| 4 | 2019 | 9 | |
| 5 | 2019 | 38 | |
| 6 | 2019 | 15 | |
| 7 | 2018 | 3 | |
| 8 | 2016 | 86 | |
| 9 | 2016 | 9 | |
| 10 | 2015 | 22 | |
| 11 | 2015 | 1 | |
| 12 | 2014 | 27 | |
| 13 | 2014 | 32 | |
| 14 | 2013 | 43 | |
| 15 | 2010 | 56 | |
| 16 | 2009 | 16 | |
| 17 | 2007 | 14 | |
| 18 | 2005 | 101 | |
| 19 | 2004 | 93 | |
| 20 | 2004 | 78 |
About Gerta Cami‐Kobeci
Gerta Cami‐Kobeci is a scholar working on Cellular and Molecular Neuroscience, Gastroenterology and Physiology, having authored 22 papers that have together received 718 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Receptor Mechanisms and Signaling (14 papers), Pain Mechanisms and Treatments (8 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), Asymmetric Hydrogenation and Catalysis (3 papers), Chemical Synthesis and Analysis (2 papers), Gastrointestinal motility and disorders (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Process Chemistry and Technology (79 citations), Cellular and Molecular Neuroscience (328 citations) and Inorganic Chemistry (231 citations). Gerta Cami‐Kobeci has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Jonathan M. J. Williams, Stephen M. Husbands, Paul A. Slatford, Michael K. Whittlesey, Taline V. Khroyan, Willma E. Polgar, Lawrence Toll, Paul W. Czoty, Phillip J. Black and Michael G. Edwards. Their work appears in journals such as Proceedings of the National Academy of Sciences, Chemical Communications and The FASEB Journal.
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.