Suhas Vasaikar

9.7k total citations · 2 hit papers
32 papers, 3.2k citations indexed

About

Suhas Vasaikar is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Suhas Vasaikar has authored 32 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Suhas Vasaikar's work include Bioinformatics and Genomic Networks (10 papers), Cancer Cells and Metastasis (7 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Suhas Vasaikar is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Cancer Cells and Metastasis (7 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Suhas Vasaikar collaborates with scholars based in United States, India and Sweden. Suhas Vasaikar's co-authors include Bing Zhang, Péter Straub, Jing Wang, Michael S. Greer, Jing Wang, Zhiao Shi, Petra den Hollander, Sendurai A. Mani, Abhijeet Deshmukh and Rama Soundararajan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Suhas Vasaikar

32 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

LinkedOmics: analyzing multi-omics data within and across 32 cancer types

2017 1.5k citations Suhas Vasaikar, Péter Straub et al. Nucleic Acids Research profile →
WebGestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkit

2017 804 citations Jing Wang, Suhas Vasaikar et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suhas Vasaikar United States	17	2.1k	1.0k	903	685	409	32	3.2k
Young Seok Ju South Korea	27	1.8k 0.9×	1.1k 1.1×	947 1.0×	1.1k 1.7×	495 1.2×	81	3.8k
Liwen Xu China	22	2.0k 1.0×	816 0.8×	851 0.9×	635 0.9×	634 1.6×	64	3.3k
Sylvain Baulande France	26	1.4k 0.7×	778 0.8×	624 0.7×	1.1k 1.7×	969 2.4×	72	3.4k
Bin Dong China	33	2.0k 0.9×	738 0.7×	539 0.6×	1.1k 1.6×	380 0.9×	139	3.3k
Zheng Zhao China	32	2.5k 1.2×	2.1k 2.1×	853 0.9×	378 0.6×	510 1.2×	123	4.0k
Uma Chandran United States	33	2.3k 1.1×	1.3k 1.3×	898 1.0×	852 1.2×	659 1.6×	96	4.1k
Jian‐Jun Wei United States	35	2.0k 1.0×	1.1k 1.1×	504 0.6×	419 0.6×	588 1.4×	103	4.1k
Kuniko Horie‐Inoue Japan	40	2.4k 1.2×	1.3k 1.3×	591 0.7×	587 0.9×	463 1.1×	103	4.1k
Xiang Ao China	35	3.0k 1.4×	1.6k 1.6×	699 0.8×	724 1.1×	274 0.7×	96	4.4k

Countries citing papers authored by Suhas Vasaikar

Since Specialization

Citations

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

Fields of papers citing papers by Suhas Vasaikar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhas Vasaikar

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

All Works

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20 of 20 papers shown

Castañeda, María, Petra den Hollander, Steven J. Werden, et al.. (2025). β-Catenin Drives the FOXC2-Mediated Epithelial–Mesenchymal Transition and Acquisition of Stem Cell Properties. Cancers. 17(7). 1114–1114. 1 indexed citations

Bhat, Raksha R., Suhas Vasaikar, Sarmistha Nanda, et al.. (2025). Interactions between ADGRF1 (GPR110) and extracellular matrix proteins govern its effects on tumorigenesis in HER2‐positive breast cancer. British Journal of Pharmacology. 182(11). 2524–2541. 2 indexed citations

Talla, Aarthi, Suhas Vasaikar, Gregory L. Szeto, et al.. (2023). Persistent serum protein signatures define an inflammatory subcategory of long COVID. Nature Communications. 14(1). 3417–3417. 70 indexed citations

Vasaikar, Suhas, Adam K. Savage, Elliott Swanson, et al.. (2023). A comprehensive platform for analyzing longitudinal multi-omics data. Nature Communications. 14(1). 1684–1684. 21 indexed citations

Hollander, Petra den, Robiya Joseph, Suhas Vasaikar, et al.. (2022). Limiting Dilution Tumor Initiation Assay: An In Vivo Approach for the Study of Cancer Stem Cells. Methods in molecular biology. 2429. 547–554. 10 indexed citations

Kuburich, Nick A., Petra den Hollander, Suhas Vasaikar, et al.. (2022). In Vitro Quantification of Cancer Stem Cells Using a Mammosphere Formation Assay. Methods in molecular biology. 2429. 509–513. 3 indexed citations

Bhat, Raksha R., Suhas Vasaikar, Carmine De Angelis, et al.. (2022). NPY1R exerts inhibitory action on estradiol-stimulated growth and predicts endocrine sensitivity and better survival in ER-positive breast cancer. Scientific Reports. 12(1). 1972–1972. 10 indexed citations

Hollander, Petra den, et al.. (2022). Enrichment of Cancer Stem Cells in a Tumorsphere Assay. Methods in molecular biology. 2429. 501–507. 5 indexed citations

Deshmukh, Abhijeet, Suhas Vasaikar, Katarzyna Tomczak, et al.. (2021). Identification of EMT signaling cross-talk and gene regulatory networks by single-cell RNA sequencing. Proceedings of the National Academy of Sciences. 118(19). 168 indexed citations

10.

Bhat, Raksha R., Lanfang Qin, Suhas Vasaikar, et al.. (2021). A novel role of ADGRF1 (GPR110) in promoting cellular quiescence and chemoresistance in human epidermal growth factor receptor 2‐positive breast cancer. The FASEB Journal. 35(7). e21719–e21719. 16 indexed citations

11.

Vasaikar, Suhas, Abhijeet Deshmukh, Petra den Hollander, et al.. (2020). EMTome: a resource for pan-cancer analysis of epithelial-mesenchymal transition genes and signatures. British Journal of Cancer. 124(1). 259–269. 131 indexed citations

12.

Ramirez‐Peña, Esmeralda, James M. Arnold, Robiya Joseph, et al.. (2019). The Epithelial to Mesenchymal Transition Promotes Glutamine Independence by Suppressing GLS2 Expression. Cancers. 11(10). 1610–1610. 36 indexed citations

13.

Vasaikar, Suhas, Natalia Landázuri, Helena Costa, et al.. (2018). Overexpression of endothelin B receptor in glioblastoma: a prognostic marker and therapeutic target?. BMC Cancer. 18(1). 154–154. 21 indexed citations

14.

Bhat, Raksha R., Suhas Vasaikar, Maria Letizia Cataldo, et al.. (2018). Abstract 1926: Npy1r as a prognostic marker and a novel drug target in estrogen receptor-positive breast cancer. Cancer Research. 78(13_Supplement). 1926–1926. 1 indexed citations

15.

Vasaikar, Suhas, Péter Straub, Jing Wang, & Bing Zhang. (2017). LinkedOmics: analyzing multi-omics data within and across 32 cancer types. Nucleic Acids Research. 46(D1). D956–D963. 1548 indexed citations breakdown →

16.

Wang, Jing, Suhas Vasaikar, Zhiao Shi, Michael S. Greer, & Bing Zhang. (2017). WebGestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkit. Nucleic Acids Research. 45(W1). W130–W137. 804 indexed citations breakdown →

17.

Vasaikar, Suhas, et al.. (2015). HSP70 mediates survival in apoptotic cells—Boolean network prediction and experimental validation. Frontiers in Cellular Neuroscience. 9. 319–319. 16 indexed citations

18.

Padhi, Aditya K., Suhas Vasaikar, B. Jayaram, & James Gomes. (2013). Fast prediction of deleterious angiogenin mutations causing amyotrophic lateral sclerosis. FEBS Letters. 587(12). 1762–1766. 8 indexed citations

19.

Vasaikar, Suhas, Aditya K. Padhi, B. Jayaram, & James Gomes. (2013). NeuroDNet - an open source platform for constructing and analyzing neurodegenerative disease networks. BMC Neuroscience. 14(1). 3–3. 26 indexed citations

20.

Padhi, Aditya K., Hirdesh Kumar, Suhas Vasaikar, B. Jayaram, & James Gomes. (2012). Mechanisms of Loss of Functions of Human Angiogenin Variants Implicated in Amyotrophic Lateral Sclerosis. PLoS ONE. 7(2). e32479–e32479. 42 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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