Veena Padmanaban

2.5k total citations · 3 hit papers
11 papers, 1.5k citations indexed

About

Veena Padmanaban is a scholar working on Oncology, Molecular Biology and Cell Biology. According to data from OpenAlex, Veena Padmanaban has authored 11 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 5 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Veena Padmanaban's 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). Veena Padmanaban is often cited by papers focused on Cancer Cells and Metastasis (6 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Cancer-related Molecular Pathways (2 papers). Veena Padmanaban collaborates with scholars based in United States, Lebanon and Switzerland. Veena Padmanaban's co-authors include Andrew J. Ewald, Joel S. Bader, Barbara M. Szczerba, Yasir Suhail, Nicola Aceto, Ilona Krol, Kevin J. Cheung, Kenneth J. Pienta, Michael A. Gorin and Vanesa L. Silvestri and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

In The Last Decade

Veena Padmanaban

11 papers receiving 1.5k citations

Hit Papers

E-cadherin is required fo... 2016 2026 2019 2022 2019 2016 2024 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Veena Padmanaban United States 10 835 665 466 340 250 11 1.5k
Jean Albrengues France 13 760 0.9× 706 1.1× 331 0.7× 328 1.0× 126 0.5× 19 1.6k
Dario Marchetti United States 20 892 1.1× 689 1.0× 606 1.3× 283 0.8× 195 0.8× 36 1.6k
Sharrell Lee United States 6 994 1.2× 1.1k 1.6× 597 1.3× 204 0.6× 106 0.4× 9 1.8k
Jennifer MacSwords United States 7 775 0.9× 807 1.2× 591 1.3× 166 0.5× 153 0.6× 7 1.7k
Juyoun Jin South Korea 19 646 0.8× 758 1.1× 395 0.8× 121 0.4× 161 0.6× 30 1.5k
Clémence Thomas France 8 1.6k 1.9× 1.3k 2.0× 675 1.4× 198 0.6× 127 0.5× 10 2.3k
Alvaro Avivar‐Valderas United States 18 530 0.6× 743 1.1× 408 0.9× 309 0.9× 71 0.3× 22 1.4k
Anna Durrans United States 5 940 1.1× 972 1.5× 620 1.3× 189 0.6× 82 0.3× 7 1.6k
Ana C. deCarvalho United States 25 456 0.5× 1.1k 1.7× 698 1.5× 199 0.6× 172 0.7× 44 2.0k
Lisha Xiang China 18 547 0.7× 1.3k 1.9× 1.1k 2.3× 171 0.5× 199 0.8× 40 2.1k

Countries citing papers authored by Veena Padmanaban

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

11 of 11 papers shown
1.
Padmanaban, Veena, et al.. (2024). Neuronal substance P drives metastasis through an extracellular RNA–TLR7 axis. Nature. 633(8028). 207–215. 74 indexed citations breakdown →
2.
Balamurugan, Kuppusamy, Dipak K. Poria, Savitri Krishnamurthy, et al.. (2023). Stabilization of E-cadherin adhesions by COX-2/GSK3β signaling is a targetable pathway in metastatic breast cancer. JCI Insight. 8(6). 27 indexed citations
3.
Liu, Xuhang, Veena Padmanaban, Hanan Alwaseem, et al.. (2022). A pro-metastatic tRNA fragment drives Nucleolin oligomerization and stabilization of its bound metabolic mRNAs. Molecular Cell. 82(14). 2604–2617.e8. 52 indexed citations
4.
Narkar, Akshay, Jin Zhu, Veena Padmanaban, et al.. (2021). On the role of p53 in the cellular response to aneuploidy. Cell Reports. 34(12). 108892–108892. 21 indexed citations
5.
Cai, Huaqing, et al.. (2020). Statin-induced GGPP depletion blocks macropinocytosis and starves cells with oncogenic defects. Proceedings of the National Academy of Sciences. 117(8). 4158–4168. 40 indexed citations
6.
Chan, Isaac S., Hildur Knútsdóttir, Veena Padmanaban, et al.. (2020). Cancer cells educate natural killer cells to a metastasis-promoting cell state. The Journal of Cell Biology. 219(9). 104 indexed citations
7.
Padmanaban, Veena, Eloïse M. Grasset, Neil M. Neumann, et al.. (2020). Organotypic culture assays for murine and human primary and metastatic-site tumors. Nature Protocols. 15(8). 2413–2442. 48 indexed citations
8.
Padmanaban, Veena, Yohannes Tsehay, Kevin J. Cheung, Andrew J. Ewald, & Joel S. Bader. (2020). Between-tumor and within-tumor heterogeneity in invasive potential. PLoS Computational Biology. 16(1). e1007464–e1007464. 8 indexed citations
9.
Georgess, Dan, et al.. (2019). Twist1-Induced Epithelial Dissemination Requires Prkd1 Signaling. Cancer Research. 80(2). 204–218. 23 indexed citations
10.
Padmanaban, Veena, Ilona Krol, Yasir Suhail, et al.. (2019). E-cadherin is required for metastasis in multiple models of breast cancer. Nature. 573(7774). 439–444. 562 indexed citations breakdown →
11.
Cheung, Kevin J., Veena Padmanaban, Vanesa L. Silvestri, et al.. (2016). Polyclonal breast cancer metastases arise from collective dissemination of keratin 14-expressing tumor cell clusters. Proceedings of the National Academy of Sciences. 113(7). E854–63. 541 indexed citations breakdown →

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.

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