Anchal Chandra
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling
- PI3K/AKT/mTOR signaling in cancer
- Ubiquitin and proteasome pathways
- Melanoma and MAPK Pathways
- Receptor Mechanisms and Signaling
- Lipid Membrane Structure and Behavior
- Cell death mechanisms and regulation
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 3
- Cell death mechanisms and regulation 2
- vaccines and immunoinformatics approaches 1
- Mitochondrial Function and Pathology 1
- 14-3-3 protein interactions 1
-
- Cellular transport and secretion 3
- Co-authors
- Philippe I. H. Bastiaens (4 shared papers)Herbert Waldmann (3 shared papers)Alfred Wittinghofer (3 shared papers)Shehab Ismail (3 shared papers)Nachiket Vartak (2 shared papers)Gemma Triola (2 shared papers)Gunther Zimmermann (1 shared paper)Bjoern Papke (1 shared paper)
In The Last Decade
Anchal Chandra
6 papers receiving 1.4k citations
Anchal Chandra's Hit Papers
Peers
Comparison fields: 5 of 77
- Cell Biology 364
- Molecular Biology 1.1k
- Oncology 238
- Physiology 38
- Immunology and Allergy 36
Countries citing papers authored by Anchal Chandra
This map shows the geographic impact of Anchal Chandra'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 Anchal Chandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anchal Chandra more than expected).
Fields of papers citing papers by Anchal Chandra
This network shows the impact of papers produced by Anchal Chandra. 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 Anchal Chandra. The network helps show where Anchal Chandra may publish in the future.
Co-authors
The 25 scholars most cited alongside Anchal Chandra, 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 | Small molecule inhibition of the KRAS–PDEδ interaction impairs oncogenic KRAS signalling Hit paper breakdown → | 2013 | 482 |
| 2 | 2010 | 376 | |
| 3 | 2011 | 272 | |
| 4 | 2011 | 214 | |
| 5 | 2020 | 20 | |
| 6 | 2022 | 5 |
About Anchal Chandra
Anchal Chandra is a scholar working on Molecular Biology, Cell Biology, Infectious Diseases, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Cellular transport and secretion (3 papers), Cell death mechanisms and regulation (2 papers), Cell Adhesion Molecules Research (1 paper), vaccines and immunoinformatics approaches (1 paper), Mitochondrial Function and Pathology (1 paper), Alzheimer's disease research and treatments (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Cell Biology (364 citations), Molecular Biology (1.1k citations), Oncology (238 citations), Physiology (38 citations) and Immunology and Allergy (36 citations). Anchal Chandra has collaborated with scholars based in Germany, India and Australia. Frequent co-authors include Philippe I. H. Bastiaens, Herbert Waldmann, Alfred Wittinghofer, Shehab Ismail, Nachiket Vartak, Gemma Triola, Gunther Zimmermann, Bjoern Papke, Stephan A. Hahn and Maike Hoffmann. Their work appears in journals such as Cell, Nature Cell Biology, Journal of Biological Chemistry, Nature and Nature Chemical 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.