Anke C. Schiedel
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
-
- Neuropeptides and Animal Physiology
Papers in
- Physiology 24
- Adenosine and Purinergic Signaling 24
-
- Neuropeptides and Animal Physiology 13
- Co-authors
- Christa E. MüllerSonja HinzDominik ThimmFarag F. SherbinyAliaa AbdelrahmanMeryem KöseAstrid MaaßElisabetta De Filippo
- Journals
- Biochemical Pharmacology (4 papers)Bioorganic & Medicinal Chemistry (4 papers)Journal of Medicinal Chemistry (3 papers)International Journal of Molecular Sciences (2 papers)Journal of Investigative Dermatology (1 paper)
- Partner nations
- GermanyUnited StatesPortugal
In The Last Decade
Anke C. Schiedel
47 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Physiology 541
- Cellular and Molecular Neuroscience 272
- Molecular Biology 713
- Computational Theory and Mathematics 115
- Biological Psychiatry 17
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 4 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 3 | |
| 5 | 2019 | 30 | |
| 6 | 2017 | 12 | |
| 7 | 2017 | 55 | |
| 8 | 2016 | 11 | |
| 9 | 2015 | 104 | |
| 10 | 2014 | 1 | |
| 11 | 2013 | 32 | |
| 12 | 2013 | 29 | |
| 13 | 2013 | 18 | |
| 14 | 2011 | 33 | |
| 15 | 2010 | 18 | |
| 16 | 2009 | 20 | |
| 17 | 2007 | 27 | |
| 18 | 2007 | 26 | |
| 19 | 2007 | 7 | |
| 20 | 2003 | 5 |
About Anke C. Schiedel
Anke C. Schiedel is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Computational Theory and Mathematics and Transplantation, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (26 papers), Adenosine and Purinergic Signaling (24 papers), Neuropeptides and Animal Physiology (13 papers), Pharmacological Receptor Mechanisms and Effects (9 papers), Computational Drug Discovery Methods (7 papers), Biochemical Analysis and Sensing Techniques (4 papers), Synthesis and biological activity (3 papers) and melanin and skin pigmentation (3 papers). The work is most often cited by research in Physiology (541 citations), Cellular and Molecular Neuroscience (272 citations), Molecular Biology (713 citations), Computational Theory and Mathematics (115 citations) and Biological Psychiatry (17 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, Astrid Maaß, Elisabetta De Filippo, Younis Baqi and Mohamad Wessam Alnouri. Their work appears in journals such as Biochemical Pharmacology, Bioorganic & Medicinal Chemistry, Journal of Medicinal Chemistry, International Journal of Molecular Sciences and Journal of Investigative Dermatology.
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.