Anke C. Schiedel
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
-
- Neuropeptides and Animal Physiology
Papers in
-
- Receptor Mechanisms and Signaling 25
- Pharmacological Receptor Mechanisms and Effects 9
- Physiology 24
- Adenosine and Purinergic Signaling 24
- Co-authors
- Christa E. Müller (33 shared papers)Sonja Hinz (8 shared papers)Dominik Thimm (10 shared papers)Farag F. Sherbiny (4 shared papers)Aliaa Abdelrahman (7 shared papers)Meryem Köse (5 shared papers)Elisabetta De Filippo (5 shared papers)Astrid Maaß (3 shared papers)
- Journals
- Biochemical Pharmacology (4 papers)Bioorganic & Medicinal Chemistry (4 papers)Journal of Medicinal Chemistry (3 papers)International Journal of Molecular Sciences (2 papers)Protein Expression and Purification (1 paper)
- Partner nations
- GermanyUnited StatesPortugal
In The Last Decade
Anke C. Schiedel
47 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Physiology 533
- Cellular and Molecular Neuroscience 261
- Molecular Biology 688
- Computational Theory and Mathematics 115
- Neurology 53
Countries citing papers authored by Anke C. Schiedel
This map shows the geographic impact of Anke C. Schiedel'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 Anke C. Schiedel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke C. Schiedel more than expected).
Fields of papers citing papers by Anke C. Schiedel
This network shows the impact of papers produced by Anke C. Schiedel. 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 Anke C. Schiedel. The network helps show where Anke C. Schiedel may publish in the future.
Co-authors
The 25 scholars most cited alongside Anke C. Schiedel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 105 | |
| 2 | 2021 | 94 | |
| 3 | 2018 | 72 | |
| 4 | 2017 | 55 | |
| 5 | 2016 | 51 | |
| 6 | 2012 | 51 | |
| 7 | 2009 | 42 | |
| 8 | 2007 | 40 | |
| 9 | 2009 | 37 | |
| 10 | 2013 | 36 | |
| 11 | 2013 | 34 | |
| 12 | 1999 | 33 | |
| 13 | 2013 | 33 | |
| 14 | 2011 | 33 | |
| 15 | 2013 | 32 | |
| 16 | 2019 | 31 | |
| 17 | 2013 | 30 | |
| 18 | 2011 | 30 | |
| 19 | 2007 | 27 | |
| 20 | 2007 | 26 |
About Anke C. Schiedel
Anke C. Schiedel is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Organic Chemistry and Computational Theory and Mathematics, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (25 papers), Adenosine and Purinergic Signaling (24 papers), Neuropeptides and Animal Physiology (13 papers), Pharmacological Receptor Mechanisms and Effects (9 papers), Computational Drug Discovery Methods (6 papers), melanin and skin pigmentation (3 papers), Synthesis and biological activity (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Physiology (533 citations), Cellular and Molecular Neuroscience (261 citations), Molecular Biology (688 citations), Computational Theory and Mathematics (115 citations) and Neurology (53 citations). Anke C. Schiedel has collaborated with scholars based in Germany, United States and Portugal. Frequent co-authors include Christa E. Müller, Sonja Hinz, Dominik Thimm, Farag F. Sherbiny, Aliaa Abdelrahman, Meryem Köse, Elisabetta De Filippo, Astrid Maaß, Mohamad Wessam Alnouri and Younis Baqi. Their work appears in journals such as Biochemical Pharmacology, Bioorganic & Medicinal Chemistry, Journal of Medicinal Chemistry, International Journal of Molecular Sciences and Protein Expression and Purification.
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.