Michael Scharfe
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Physiology top 10%
- Calcium signaling and nucleotide metabolism
Papers in
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- Computational Drug Discovery Methods 5
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- Protein Structure and Dynamics 2
- Co-authors
- Wolfgang Sippl (10 shared papers)Simon M. N. Efange (3 shared papers)Luc Meva’a Mbaze (3 shared papers)Fidele Ntie‐Kang (3 shared papers)James A. Mbah (2 shared papers)Lydia L. Lifongo (2 shared papers)Dénis Zofou (1 shared paper)Smith B. Babiaka (1 shared paper)
- Journals
- Journal of Cheminformatics (2 papers)PLoS ONE (1 paper)Journal of Chemical Information and Modeling (1 paper)BMC Complementary and Alternative Medicine (1 paper)MedChemComm (1 paper)
- Partner nations
- GermanyUnited StatesCameroon
In The Last Decade
Michael Scharfe
11 papers receiving 516 citations
Peers
Comparison fields: 5 of 68
- Geriatrics and Gerontology 113
- Physiology 49
- Computational Theory and Mathematics 172
- Pharmacology 91
- Pharmacology 44
Countries citing papers authored by Michael Scharfe
This map shows the geographic impact of Michael Scharfe'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 Michael Scharfe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Scharfe more than expected).
Fields of papers citing papers by Michael Scharfe
This network shows the impact of papers produced by Michael Scharfe. 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 Michael Scharfe. The network helps show where Michael Scharfe may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Scharfe, 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 | 2013 | 191 | |
| 2 | 2013 | 72 | |
| 3 | 2014 | 64 | |
| 4 | 2013 | 57 | |
| 5 | 2012 | 56 | |
| 6 | 2011 | 36 | |
| 7 | 2013 | 32 | |
| 8 | 2014 | 9 | |
| 9 | 2010 | 5 | |
| 10 | 2012 | 2 | |
| 11 | 2012 | 1 | |
| 12 | 2024 | 0 |
About Michael Scharfe
Michael Scharfe is a scholar working on Computational Theory and Mathematics, Molecular Biology, Geriatrics and Gerontology, Epidemiology and Pharmacology, having authored 12 papers that have together received 525 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Autophagy in Disease and Therapy (4 papers), Sirtuins and Resveratrol in Medicine (4 papers), Biochemical effects in animals (2 papers), Protein Structure and Dynamics (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Cardiovascular and exercise physiology (1 paper) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Geriatrics and Gerontology (113 citations), Physiology (49 citations), Computational Theory and Mathematics (172 citations), Pharmacology (91 citations) and Pharmacology (44 citations). Michael Scharfe has collaborated with scholars based in Germany, United States and Cameroon. Frequent co-authors include Wolfgang Sippl, Simon M. N. Efange, Luc Meva’a Mbaze, Fidele Ntie‐Kang, James A. Mbah, Lydia L. Lifongo, Dénis Zofou, Smith B. Babiaka, Manfred Jung and Pascal Amoa Onguéné. Their work appears in journals such as Journal of Cheminformatics, PLoS ONE, Journal of Chemical Information and Modeling, BMC Complementary and Alternative Medicine and MedChemComm.
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.