Andreas Böttcher
Impact in
- Aging top 10%
-
- Clusterin in disease pathology
Papers in
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- Organic Chemistry Cycloaddition Reactions 2
- Axial and Atropisomeric Chirality Synthesis 2
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- Caveolin-1 and cellular processes 2
- Co-authors
- Gerd Schmitz (7 shared papers)Manuel C. Peitsch (1 shared paper)Jürg Tschopp (1 shared paper)Dieter E. Jenne (1 shared paper)Bente Lowin (1 shared paper)Willy Friedrichsen (3 shared papers)Hans‐Günther Schmalz (3 shared papers)Battsengel Gotov (2 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Synlett (2 papers)Journal of Lipid Research (1 paper)The Journal of Steroid Biochemistry and Molecular Biology (1 paper)Chromatographia (1 paper)
- Partner nations
- GermanyFranceSwitzerland
In The Last Decade
Andreas Böttcher
19 papers receiving 550 citations
Peers
Comparison fields: 5 of 73
- Aging 28
- Oncology 181
- Organic Chemistry 106
- Endocrinology, Diabetes and Metabolism 56
- Biochemistry 25
Countries citing papers authored by Andreas Böttcher
This map shows the geographic impact of Andreas Böttcher'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 Andreas Böttcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Böttcher more than expected).
Fields of papers citing papers by Andreas Böttcher
This network shows the impact of papers produced by Andreas Böttcher. 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 Andreas Böttcher. The network helps show where Andreas Böttcher may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Böttcher, 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 | 1991 | 243 | |
| 2 | 1994 | 63 | |
| 3 | 1990 | 56 | |
| 4 | 2000 | 34 | |
| 5 | 2003 | 32 | |
| 6 | 2003 | 31 | |
| 7 | 1981 | 19 | |
| 8 | 2016 | 18 | |
| 9 | 2004 | 16 | |
| 10 | 1981 | 13 | |
| 11 | 1985 | 12 | |
| 12 | 1988 | 12 | |
| 13 | 1983 | 6 | |
| 14 | 1990 | 6 | |
| 15 | 2003 | 3 | |
| 16 | 1988 | 2 | |
| 17 | 2006 | 2 | |
| 18 | 2018 | 1 | |
| 19 | Disturbed cellular lipid efflux and HDL maturation in caveolin-1 deficient mice | 2005 | 1 |
About Andreas Böttcher
Andreas Böttcher is a scholar working on Organic Chemistry, Cell Biology, Hematology, Aging and Toxicology, having authored 19 papers that have together received 570 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (2 papers), Organic Chemistry Cycloaddition Reactions (2 papers), Axial and Atropisomeric Chirality Synthesis (2 papers), Caveolin-1 and cellular processes (2 papers), Alzheimer's disease research and treatments (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Molecular spectroscopy and chirality (1 paper). The work is most often cited by research in Aging (28 citations), Oncology (181 citations), Organic Chemistry (106 citations), Endocrinology, Diabetes and Metabolism (56 citations) and Biochemistry (25 citations). Andreas Böttcher has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include Gerd Schmitz, Manuel C. Peitsch, Jürg Tschopp, Dieter E. Jenne, Bente Lowin, Willy Friedrichsen, Hans‐Günther Schmalz, Battsengel Gotov, G. F. Kahl and Thomas Brüning. Their work appears in journals such as Journal of Biological Chemistry, Synlett, Journal of Lipid Research, The Journal of Steroid Biochemistry and Molecular Biology and Chromatographia.
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.