Neil Vasan

6.1k total citations · 2 hit papers
26 papers, 2.5k citations indexed

About

Neil Vasan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Neil Vasan has authored 26 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Pulmonary and Respiratory Medicine and 11 papers in Oncology. Recurrent topics in Neil Vasan's work include PI3K/AKT/mTOR signaling in cancer (8 papers), Cancer Genomics and Diagnostics (8 papers) and Advanced Breast Cancer Therapies (6 papers). Neil Vasan is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (8 papers), Cancer Genomics and Diagnostics (8 papers) and Advanced Breast Cancer Therapies (6 papers). Neil Vasan collaborates with scholars based in United States, Japan and Spain. Neil Vasan's co-authors include David M. Hyman, José Baselga, Lewis C. Cantley, Julie L. Boyer, Roy S. Herbst, Marcus D. Goncalves, Roger J. Liang, Andrew J. Dannenberg, Jared L. Johnson and Emma M. Schatoff and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Neil Vasan

26 papers receiving 2.4k citations

Hit Papers

A view on drug resistance in cancer 2019 2026 2021 2023 2019 2021 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neil Vasan United States 10 1.4k 637 592 378 333 26 2.5k
Genevieve Housman United States 10 1.7k 1.3× 918 1.4× 665 1.1× 295 0.8× 255 0.8× 17 2.9k
K Lapińska United States 8 1.8k 1.3× 928 1.5× 647 1.1× 307 0.8× 261 0.8× 8 3.0k
Sung-Gil Chi South Korea 29 1.9k 1.4× 551 0.9× 574 1.0× 384 1.0× 308 0.9× 72 2.9k
Shannon Byler United States 7 1.8k 1.3× 971 1.5× 689 1.2× 319 0.8× 273 0.8× 9 3.0k
Sarah Heerboth United States 11 2.0k 1.5× 983 1.5× 710 1.2× 318 0.8× 283 0.8× 14 3.2k
Solmaz Shirjang Iran 16 1.5k 1.1× 498 0.8× 823 1.4× 227 0.6× 187 0.6× 18 2.4k
Malathy P.V. Shekhar United States 28 1.2k 0.9× 812 1.3× 488 0.8× 383 1.0× 235 0.7× 56 2.3k
Reza Bayat Mokhtari Canada 16 1.6k 1.1× 839 1.3× 808 1.4× 343 0.9× 552 1.7× 35 3.1k
Anamaria Brozović Croatia 21 1.3k 1.0× 840 1.3× 551 0.9× 201 0.5× 186 0.6× 60 2.3k
Amalia Azzariti Italy 37 1.9k 1.4× 1.4k 2.2× 601 1.0× 285 0.8× 445 1.3× 132 3.6k

Countries citing papers authored by Neil Vasan

Since Specialization
Citations

This map shows the geographic impact of Neil Vasan'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 Neil Vasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Vasan more than expected).

Fields of papers citing papers by Neil Vasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil Vasan. 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 Neil Vasan. The network helps show where Neil Vasan may publish in the future.

Co-authorship network of co-authors of Neil Vasan

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Vasan. A scholar is included among the top collaborators of Neil Vasan 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 Neil Vasan. Neil Vasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shin, Alice E., Kensuke Sugiura, David Cohen, et al.. (2025). LIN28B-mediated PI3K/AKT pathway activation promotes metastasis in colorectal cancer models. Journal of Clinical Investigation. 135(8). 2 indexed citations
2.
Wang, Shikun, Joshua R. Cook, Neil Vasan, et al.. (2025). Continuous glucose monitoring to characterize hyperglycemia during chemotherapy for early stage breast cancer. Breast Cancer Research and Treatment. 212(3). 511–519. 3 indexed citations
4.
Wang, Ying, J. Raikhelkar, Neil Vasan, et al.. (2024). Abstract PO1-10-04: Racial and Ethnic Disparities in Anthracycline and HER2-targeted Cardiotoxicity in Patients With Breast Cancer Using Global Longitudinal Strain Imaging Techniques. Cancer Research. 84(9_Supplement). PO1–10. 1 indexed citations
6.
Shah, Parin, Neeharika Kothapalli, Shivem B. Shah, et al.. (2024). Mapping variant effects on anti-tumor hallmarks of primary human T cells with base-editing screens. Nature Biotechnology. 43(3). 384–395. 18 indexed citations
7.
Sivakumar, Smruthy, Dexter X. Jin, Jeffrey S. Ross, et al.. (2023). Genetic Heterogeneity and Tissue-specific Patterns of Tumors with Multiple PIK3CA Mutations. Clinical Cancer Research. 29(6). 1125–1136. 16 indexed citations
8.
Vasan, Neil & Lewis C. Cantley. (2022). At a crossroads: how to translate the roles of PI3K in oncogenic and metabolic signalling into improvements in cancer therapy. Nature Reviews Clinical Oncology. 19(7). 471–485. 93 indexed citations
9.
Mullangi, Samyukta & Neil Vasan. (2021). Genomic Characterization of De Novo Metastatic Breast Cancer. Clinical Breast Cancer. 22(2). 98–102. 6 indexed citations
10.
Taylor, Samuel, Shakti Ramsamooj, Roger J. Liang, et al.. (2021). Dietary fructose improves intestinal cell survival and nutrient absorption. Nature. 597(7875). 263–267. 194 indexed citations breakdown →
11.
Hyde, Parker N., John N. Falcone, Aaron Neinstein, et al.. (2021). Treating Alpelisib-Induced Hyperglycemia with Very Low Carbohydrate Diets and Sodium-Glucose Co-Transporter 2 Inhibitors: A Case Series. Integrative Cancer Therapies. 20. 1543347419–1543347419. 14 indexed citations
12.
Gorelick, Alexander N., Francisco J. Sánchez‐Rivera, Yanyan Cai, et al.. (2020). Phase and context shape the function of composite oncogenic mutations. Nature. 582(7810). 100–103. 26 indexed citations
13.
Vasan, Neil, et al.. (2020). 1954P A pan-cancer analysis of double PIK3CA mutations. Annals of Oncology. 31. S1101–S1101. 1 indexed citations
14.
Vasan, Neil, José Baselga, & David M. Hyman. (2019). A view on drug resistance in cancer. Nature. 575(7782). 299–309. 1897 indexed citations breakdown →
15.
Vasan, Neil, Pedram Razavi, Hong Shao, et al.. (2019). Double PIK3CA mutations in cis enhance PI3Kα oncogene activation and sensitivity to PI3Kα inhibitors in breast cancer. Annals of Oncology. 30. iii1–iii1. 5 indexed citations
16.
Vasan, Neil. (2017). State-of-the-Art Update: CDK4/6 Inhibitors in ER+ Metastatic Breast Cancer. 13(4). 3 indexed citations
17.
Vasan, Neil, Maria Ignez Braghiroli, Alexander N. Shoushtari, et al.. (2017). An elderly man with remote history of metastatic melanoma now with localized pancreas cancer and new liver masses. Journal of Gastrointestinal Oncology. 8(3). 596–602. 1 indexed citations
18.
Vasan, Neil, Julie L. Boyer, & Roy S. Herbst. (2014). A RAS Renaissance: Emerging Targeted Therapies for KRAS-Mutated Non–Small Cell Lung Cancer. Clinical Cancer Research. 20(15). 3921–3930. 82 indexed citations
19.
Vasan, Neil, Ozlen Saglam, & Brigid K. Killelea. (2012). Metastatic leiomyosarcoma presenting as bilateral, multifocal breast masses. BMJ Case Reports. 2012. bcr2012007188–bcr2012007188. 2 indexed citations
20.
Dooley, Gordon & Neil Vasan. (1989). Dilantin hyperplasia: a review of the literature.. PubMed. 68. 19–22. 4 indexed citations

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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