Anna Scherer
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
- Protein Structure and Dynamics
- Cell death mechanisms and regulation
- PI3K/AKT/mTOR signaling in cancer
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 2
- RNA and protein synthesis mechanisms 1
- Melanoma and MAPK Pathways 1
- Enzyme function and inhibition 1
- Oncology 3
- Cancer-related Molecular Pathways 3
- Co-authors
- Christian Herrmann (1 shared paper)Gudrun Horn (1 shared paper)Frank McCormick (1 shared paper)Nicolas Nassar (1 shared paper)Ilme Schlichting (3 shared papers)E.F. Pai (2 shared papers)Alfred Wittinghofer (2 shared papers)Ute Krengel (1 shared paper)
- Journals
- Nature (2 papers)Cell (1 paper)Protein Science (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- GermanyNetherlandsSwitzerland
In The Last Decade
Anna Scherer
8 papers receiving 1.0k citations
Anna Scherer's Hit Papers
Peers
Comparison fields: 5 of 97
- Cell Biology 257
- Molecular Biology 896
- Oncology 163
- Aging 8
- Physiology 19
Countries citing papers authored by Anna Scherer
This map shows the geographic impact of Anna Scherer'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 Anna Scherer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Scherer more than expected).
Fields of papers citing papers by Anna Scherer
This network shows the impact of papers produced by Anna Scherer. 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 Anna Scherer. The network helps show where Anna Scherer may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Scherer, 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 | The 2.2 Å crystal structure of the Ras-binding domain of the serine/threonine kinase c-Raf1 in complex with RaplA and a GTP analogue Hit paper breakdown → | 1995 | 551 |
| 2 | 1990 | 333 | |
| 3 | 2011 | 76 | |
| 4 | 1989 | 41 | |
| 5 | 2013 | 31 | |
| 6 | 2016 | 10 | |
| 7 | 1997 | 9 | |
| 8 | 1997 | 8 |
About Anna Scherer
Anna Scherer is a scholar working on Molecular Biology, Oncology, Materials Chemistry, Organic Chemistry and Pharmacology, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Enzyme Structure and Function (2 papers), Musculoskeletal pain and rehabilitation (1 paper), RNA and protein synthesis mechanisms (1 paper), Melanoma and MAPK Pathways (1 paper), Free Radicals and Antioxidants (1 paper) and Enzyme function and inhibition (1 paper). The work is most often cited by research in Cell Biology (257 citations), Molecular Biology (896 citations), Oncology (163 citations), Aging (8 citations) and Physiology (19 citations). Anna Scherer has collaborated with scholars based in Germany, Netherlands and Switzerland. Frequent co-authors include Christian Herrmann, Gudrun Horn, Frank McCormick, Nicolas Nassar, Ilme Schlichting, E.F. Pai, Alfred Wittinghofer, Ute Krengel, Wolfgang Kabsch and Matthias Frech. Their work appears in journals such as Nature, Cell, Protein Science, Proteins Structure Function and Bioinformatics and Journal of Molecular Biology.
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.