Veena Padmanaban
- Oncology top 5%
- Molecular Biology
- Cancer Research top 5%
- Cell Biology top 5%
- Biomedical Engineering
- Co-authors
- Andrew J. EwaldJoel S. BaderBarbara M. SzczerbaIlona KrolYasir SuhailNicola AcetoKevin J. CheungKoen Schipper
- Topics
- Cancer Cells and Metastasis (6 papers)Wnt/β-catenin signaling in development and cancer (3 papers)Cancer-related Molecular Pathways (2 papers)
- Cited by
- Cancer ResearchOncologyCell Biology
- Partner nations
- United StatesLebanonSwitzerland
In The Last Decade
Veena Padmanaban
11 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Oncology 835
- Molecular Biology 665
- Cancer Research 466
- Cell Biology 340
- Biomedical Engineering 250
Countries citing papers authored by Veena Padmanaban
This map shows the geographic impact of Veena Padmanaban'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 Veena Padmanaban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veena Padmanaban more than expected).
Fields of papers citing papers by Veena Padmanaban
This network shows the impact of papers produced by Veena Padmanaban. 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 Veena Padmanaban. The network helps show where Veena Padmanaban may publish in the future.
Co-authorship network of co-authors of Veena Padmanaban
This figure shows the co-authorship network connecting the top 25 collaborators of Veena Padmanaban. A scholar is included among the top collaborators of Veena Padmanaban based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Veena Padmanaban. Veena Padmanaban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Neuronal substance P drives metastasis through an extracellular RNA–TLR7 axisbreakdown → | 74 |
| 2 | 27 | |
| 3 | 52 | |
| 4 | 21 | |
| 5 | 40 | |
| 6 | 104 | |
| 7 | 48 | |
| 8 | 8 | |
| 9 | 23 | |
| 10 | E-cadherin is required for metastasis in multiple models of breast cancerbreakdown → | 562 |
| 11 | Polyclonal breast cancer metastases arise from collective dissemination of keratin 14-expressing tumor cell clustersbreakdown → | 541 |
About Veena Padmanaban
Veena Padmanaban is a scholar working on Oncology, Biotechnology and Cell Biology, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (466 citations), Oncology (835 citations) and Cell Biology (340 citations). Veena Padmanaban has collaborated with scholars based in United States, Lebanon and Switzerland. Frequent co-authors include Andrew J. Ewald, Joel S. Bader, Barbara M. Szczerba, Ilona Krol, Yasir Suhail, Nicola Aceto, Kevin J. Cheung, Koen Schipper, James E. Verdone and Michael A. Gorin. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Cell 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.