Vasudha Sehgal

2.4k total citations
11 papers, 503 citations indexed

About

Vasudha Sehgal is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Vasudha Sehgal has authored 11 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in Vasudha Sehgal's work include MicroRNA in disease regulation (4 papers), RNA modifications and cancer (2 papers) and Cancer-related molecular mechanisms research (2 papers). Vasudha Sehgal is often cited by papers focused on MicroRNA in disease regulation (4 papers), RNA modifications and cancer (2 papers) and Cancer-related molecular mechanisms research (2 papers). Vasudha Sehgal collaborates with scholars based in United States, China and Australia. Vasudha Sehgal's co-authors include Prahlad T. Ram, Gordon B. Mills, Tyler J. Moss, Anil K. Sood, Rebecca A. Previs, Georgina V. Long, Cristina Ivan, Wei Hu, Y.N. Vashisht Gopal and Elena G. Seviour and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Vasudha Sehgal

11 papers receiving 493 citations

Peers

Vasudha Sehgal
Chen Luo China
Christopher C. Pan United States
Mingzeng Sun United States
C-T Yeh Taiwan
Jianqun Liao United States
Vasudha Sehgal
Citations per year, relative to Vasudha Sehgal Vasudha Sehgal (= 1×) peers Chengpeng Yu

Countries citing papers authored by Vasudha Sehgal

Since Specialization
Citations

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

Fields of papers citing papers by Vasudha Sehgal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasudha Sehgal

This figure shows the co-authorship network connecting the top 25 collaborators of Vasudha Sehgal. A scholar is included among the top collaborators of Vasudha Sehgal 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 Vasudha Sehgal. Vasudha Sehgal 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.
Bauman, Julie E., Ricklie Julian, J.L. Geiger, et al.. (2024). Abstract CT141: mRNA-4157 (V940) individualized neoantigen therapy (INT) + pembrolizumab (pembro) in advanced unresectable HPV- head & neck carcinoma (HNSCC): Clinical & translational analysis. Cancer Research. 84(7_Supplement). CT141–CT141. 3 indexed citations
2.
Carlino, Matteo S., Adnan Khattak, Jeffrey S. Weber, et al.. (2023). Minimal residual disease by circulating tumor DNA as a biomarker of recurrence free survival in resected high-risk melanoma patients treated with mRNA-4157/V940, a personalized cancer vaccine, and pembrolizumab.. Journal of Clinical Oncology. 41(17_suppl). LBA9515–LBA9515. 4 indexed citations
4.
Kang, Yu, Archana S. Nagaraja, Guillermo N. Armaiz-Peña, et al.. (2015). Adrenergic Stimulation of DUSP1 Impairs Chemotherapy Response in Ovarian Cancer. Clinical Cancer Research. 22(7). 1713–1724. 77 indexed citations
5.
Moss, Tyler J., Elena G. Seviour, Vasudha Sehgal, et al.. (2015). Genome-wide perturbations by miRNAs map onto functional cellular pathways, identifying regulators of chromatin modifiers. npj Systems Biology and Applications. 1(1). 15001–15001. 5 indexed citations
6.
Sehgal, Vasudha, Elena G. Seviour, Tyler J. Moss, et al.. (2015). Robust Selection Algorithm (RSA) for Multi-Omic Biomarker Discovery; Integration with Functional Network Analysis to Identify miRNA Regulated Pathways in Multiple Cancers. PLoS ONE. 10(10). e0140072–e0140072. 7 indexed citations
7.
Gopal, Y.N. Vashisht, Helen Rizos, Guo Chen, et al.. (2014). Inhibition of mTORC1/2 Overcomes Resistance to MAPK Pathway Inhibitors Mediated by PGC1α and Oxidative Phosphorylation in Melanoma. Cancer Research. 74(23). 7037–7047. 148 indexed citations
8.
Wen, Yunfei, Whitney A. Spannuth Graybill, Rebecca A. Previs, et al.. (2014). Immunotherapy Targeting Folate Receptor Induces Cell Death Associated with Autophagy in Ovarian Cancer. Clinical Cancer Research. 21(2). 448–459. 53 indexed citations
9.
Roh, Ju‐Won, Jie Huang, Wei Hu, et al.. (2014). Biologic Effects of Platelet-Derived Growth Factor Receptor α Blockade in Uterine Cancer. Clinical Cancer Research. 20(10). 2740–2750. 15 indexed citations
10.
Nishikawa, Taichiro, Nadège Bellancé, Bing Han, et al.. (2014). A switch in the source of ATP production and a loss in capacity to perform glycolysis are hallmarks of hepatocyte failure in advance liver disease. Journal of Hepatology. 60(6). 1203–1211. 97 indexed citations
11.
Chiu, Hua‐Sheng, David Llobet‐Navàs, Xuerui Yang, et al.. (2014). Cupid: simultaneous reconstruction of microRNA-target and ceRNA networks. Genome Research. 25(2). 257–267. 88 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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