Pratheesh Sathyan

1.7k total citations
26 papers, 1.1k citations indexed

About

Pratheesh Sathyan is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pratheesh Sathyan has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cancer Research, 11 papers in Molecular Biology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pratheesh Sathyan's work include MicroRNA in disease regulation (7 papers), Cancer Genomics and Diagnostics (7 papers) and Lung Cancer Treatments and Mutations (7 papers). Pratheesh Sathyan is often cited by papers focused on MicroRNA in disease regulation (7 papers), Cancer Genomics and Diagnostics (7 papers) and Lung Cancer Treatments and Mutations (7 papers). Pratheesh Sathyan collaborates with scholars based in United States, Switzerland and Slovakia. Pratheesh Sathyan's co-authors include Rajesh C. Miranda, Honey B. Golden, Pascal O. Zinn, Sadhan Majumder, Farida Sohrabji, Amutha Selvamani, Rivka R. Colen, Sanjay K. Singh, Ferenc A. Jólesz and Dale Hereld and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Pratheesh Sathyan

23 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pratheesh Sathyan United States 12 623 514 221 216 121 26 1.1k
Zhiguo Lin China 21 593 1.0× 368 0.7× 70 0.3× 193 0.9× 53 0.4× 71 1.3k
Douglas Burtrum United States 14 806 1.3× 238 0.5× 174 0.8× 46 0.2× 165 1.4× 18 1.7k
Jamie M. Walker United States 16 319 0.5× 99 0.2× 63 0.3× 184 0.9× 60 0.5× 53 839
Yuanqing Yan United States 25 634 1.0× 351 0.7× 101 0.5× 244 1.1× 14 0.1× 57 1.5k
Ke Fang China 24 1.1k 1.8× 789 1.5× 130 0.6× 39 0.2× 38 0.3× 47 1.8k
Dieter Henrik Heiland Germany 23 546 0.9× 234 0.5× 183 0.8× 686 3.2× 27 0.2× 91 1.7k
Yigong Fu United States 16 777 1.2× 160 0.3× 105 0.5× 108 0.5× 21 0.2× 23 1.4k
Raelene Endersby Australia 16 671 1.1× 244 0.5× 35 0.2× 409 1.9× 25 0.2× 39 1.2k
Hadassah Gnessin Israel 9 912 1.5× 190 0.4× 859 3.9× 32 0.1× 148 1.2× 10 2.0k

Countries citing papers authored by Pratheesh Sathyan

Since Specialization
Citations

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

Fields of papers citing papers by Pratheesh Sathyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pratheesh Sathyan

This figure shows the co-authorship network connecting the top 25 collaborators of Pratheesh Sathyan. A scholar is included among the top collaborators of Pratheesh Sathyan 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 Pratheesh Sathyan. Pratheesh Sathyan 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
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Nesline, Mary, Vivek Subbiah, Rebecca A. Previs, et al.. (2024). The Impact of Prior Single-Gene Testing on Comprehensive Genomic Profiling Results for Patients with Non-Small Cell Lung Cancer. Oncology and Therapy. 12(2). 329–343. 3 indexed citations
4.
Wallen, Zachary D., Mary Nesline, Kyle C. Strickland, et al.. (2024). Real-world comprehensive genomic and immune profiling reveals distinct age- and sex-based genomic and immune landscapes in tumors of patients with non-small cell lung cancer. Frontiers in Immunology. 15. 1413956–1413956. 3 indexed citations
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Severson, Eric A., Bhagelu R. Achyut, Mary Nesline, et al.. (2023). RNA Sequencing Identifies Novel NRG1 Fusions in Solid Tumors that Lack Co-Occurring Oncogenic Drivers. Journal of Molecular Diagnostics. 25(7). 454–466. 8 indexed citations
8.
Ramkissoon, Lori, Nicholas Britt, Eric A. Severson, et al.. (2018). Precision Neuro-oncology: the Role of Genomic Testing in the Management of Adult and Pediatric Gliomas. Current Treatment Options in Oncology. 19(8). 41–41. 7 indexed citations
9.
Singh, Sanjay K., Anantha Marisetty, Pratheesh Sathyan, et al.. (2015). REST–miR-21–SOX2 axis maintains pluripotency in E14Tg2a.4 embryonic stem cells. Stem Cell Research. 15(2). 305–311. 17 indexed citations
10.
Alvarado, Alvaro G., Soumya M. Turaga, Pratheesh Sathyan, et al.. (2015). Coordination of self-renewal in glioblastoma by integration of adhesion and microRNA signaling. Neuro-Oncology. 18(5). 656–666. 32 indexed citations
11.
Mathew, Lijoy K., Nicolas Skuli, Vera Mucaj, et al.. (2013). miR-218 opposes a critical RTK-HIF pathway in mesenchymal glioblastoma. Proceedings of the National Academy of Sciences. 111(1). 291–296. 88 indexed citations
12.
Balaraman, Sridevi, et al.. (2013). Suppression and Epigenetic Regulation of MiR‐9 Contributes to Ethanol Teratology: Evidence from Zebrafish and Murine Fetal Neural Stem Cell Models. Alcoholism Clinical and Experimental Research. 37(10). 1657–1667. 54 indexed citations
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Zinn, Pascal O., Pratheesh Sathyan, John Bruyere, et al.. (2012). A Novel Volume-Age-KPS (VAK) Glioblastoma Classification Identifies a Prognostic Cognate microRNA-Gene Signature. PLoS ONE. 7(8). e41522–e41522. 72 indexed citations
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Zinn, Pascal O., Pratheesh Sathyan, Sanjay K. Singh, et al.. (2012). Correction: Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme. PLoS ONE. 7(2). 4 indexed citations
15.
Selvamani, Amutha, Pratheesh Sathyan, Rajesh C. Miranda, & Farida Sohrabji. (2012). An Antagomir to MicroRNA Let7f Promotes Neuroprotection in an Ischemic Stroke Model. PLoS ONE. 7(2). e32662–e32662. 182 indexed citations
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Kamal, Mohamed M., Pratheesh Sathyan, Sanjay K. Singh, et al.. (2012). REST Regulates Oncogenic Properties of Glioblastoma Stem Cells. Stem Cells. 30(3). 405–414. 65 indexed citations
17.
Zinn, Pascal O., Pratheesh Sathyan, Sanjay K. Singh, et al.. (2011). Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme. PLoS ONE. 6(10). e25451–e25451. 210 indexed citations
18.
Miranda, Rajesh C., Andrzej Z. Pietrzykowski, Yueming Tang, et al.. (2010). MicroRNAs: Master Regulators of Ethanol Abuse and Toxicity?. Alcoholism Clinical and Experimental Research. 34(4). 575–587. 134 indexed citations
19.
Sathyan, Pratheesh, Honey B. Golden, & Rajesh C. Miranda. (2007). Competing Interactions between Micro-RNAs Determine Neural Progenitor Survival and Proliferation after Ethanol Exposure: Evidence from anEx VivoModel of the Fetal Cerebral Cortical Neuroepithelium. Journal of Neuroscience. 27(32). 8546–8557. 219 indexed citations
20.
Yang, Shih‐Hung, Hongyan Wang, Pratheesh Sathyan, Claudio Stasolla, & Carol A. Loopstra. (2005). Real‐time RT‐PCR analysis of loblolly pine (Pinus taeda) arabinogalactan‐protein and arabinogalactan‐protein‐like genes. Physiologia Plantarum. 124(1). 91–106. 26 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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