Pichai Raman

19.5k total citations · 1 hit paper
45 papers, 2.9k citations indexed

About

Pichai Raman is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Pichai Raman has authored 45 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 20 papers in Cancer Research and 12 papers in Neurology. Recurrent topics in Pichai Raman's work include Neuroblastoma Research and Treatments (12 papers), Cancer Genomics and Diagnostics (10 papers) and Cancer, Hypoxia, and Metabolism (8 papers). Pichai Raman is often cited by papers focused on Neuroblastoma Research and Treatments (12 papers), Cancer Genomics and Diagnostics (10 papers) and Cancer, Hypoxia, and Metabolism (8 papers). Pichai Raman collaborates with scholars based in United States, Germany and Italy. Pichai Raman's co-authors include Clary B. Clish, Amanda L. Souza, Jeffrey P. MacKeigan, Brendan D. Manning, Matthew G. Vander Heiden, Ellen Triantafellow, Jessica L. Yecies, Suchithra Menon, Katrin Düvel and Qicheng Ma and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Pichai Raman

43 papers receiving 2.9k citations

Hit Papers

Activation of a Metabolic Gene Regulatory Network Downstr... 2010 2026 2015 2020 2010 500 1000 1.5k

Peers

Pichai Raman
John Easton United States
Bum-Joon Park South Korea
Andrea Morrione United States
Andrew Dodson United Kingdom
Jeremy Chien United States
Adam Resnick United States
Kan Lu United States
Annamaria Rapisarda United States
John Easton United States
Pichai Raman
Citations per year, relative to Pichai Raman Pichai Raman (= 1×) peers John Easton

Countries citing papers authored by Pichai Raman

Since Specialization
Citations

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

Fields of papers citing papers by Pichai Raman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pichai Raman

This figure shows the co-authorship network connecting the top 25 collaborators of Pichai Raman. A scholar is included among the top collaborators of Pichai Raman 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 Pichai Raman. Pichai Raman 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.
Gaonkar, Krutika S., Fédérico Marini, Komal S. Rathi, et al.. (2020). annoFuse: an R Package to annotate, prioritize, and interactively explore putative oncogenic RNA fusions. BMC Bioinformatics. 21(1). 577–577. 7 indexed citations
2.
Rathi, Komal S., Mateusz Koptyra, Ammar S. Naqvi, et al.. (2020). A transcriptome-based classifier to determine molecular subtypes in medulloblastoma. PLoS Computational Biology. 16(10). e1008263–e1008263. 4 indexed citations
3.
Yarmarkovich, Mark, Alvin Farrel, Moreno Di Marco, et al.. (2020). Immunogenicity and Immune Silence in Human Cancer. Frontiers in Immunology. 11. 69–69. 21 indexed citations
4.
Sussman, Robyn T., Jo Lynne Rokita, Pichai Raman, et al.. (2020). CAMKV Is a Candidate Immunotherapeutic Target in MYCN Amplified Neuroblastoma. Frontiers in Oncology. 10. 302–302. 11 indexed citations
5.
Rentas, Stefan, Komal S. Rathi, Maninder Kaur, et al.. (2020). Diagnosing Cornelia de Lange syndrome and related neurodevelopmental disorders using RNA sequencing. Genetics in Medicine. 22(5). 927–936. 28 indexed citations
6.
Makvandi, Mehran, Hwan Lee, Laura N. Puentes, et al.. (2019). Targeting PARP-1 with Alpha-Particles Is Potently Cytotoxic to Human Neuroblastoma in Preclinical Models. Molecular Cancer Therapeutics. 18(7). 1195–1204. 39 indexed citations
7.
Lenzen, Alicia, Kristen L. Lauing, Lijie Zhai, et al.. (2019). IMMU-01. NOVEL RNA-TARGETING STRATEGY FOR TREATING T CELL-DRIVEN IMMUNOSUPPRESSION IN HUMAN DIFFUSE INTRINSIC PONTINE GLIOMA. Neuro-Oncology. 21(Supplement_2). ii92–ii93. 2 indexed citations
8.
Raman, Pichai, Samuel Zimmerman, Komal S. Rathi, et al.. (2019). A comparison of survival analysis methods for cancer gene expression RNA-Sequencing data. Cancer Genetics. 235-236. 1–12. 9 indexed citations
9.
Guha, Manti, Satish Srinivasan, Pichai Raman, et al.. (2018). Aggressive triple negative breast cancers have unique molecular signature on the basis of mitochondrial genetic and functional defects. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(4). 1060–1071. 53 indexed citations
10.
Lurier, Emily B., Will Dampier, Pichai Raman, et al.. (2017). Transcriptome analysis of IL-10-stimulated (M2c) macrophages by next-generation sequencing. Immunobiology. 222(7). 847–856. 170 indexed citations
11.
Hart, Lori S., JulieAnn Rader, Pichai Raman, et al.. (2016). Preclinical Therapeutic Synergy of MEK1/2 and CDK4/6 Inhibition in Neuroblastoma. Clinical Cancer Research. 23(7). 1785–1796. 57 indexed citations
12.
Padovan‐Merhar, Olivia, Pichai Raman, Irina Ostrovnaya, et al.. (2016). Enrichment of Targetable Mutations in the Relapsed Neuroblastoma Genome. PLoS Genetics. 12(12). e1006501–e1006501. 84 indexed citations
13.
Russell, Mike R., Derek A. Oldridge, Juan R. Alvarez‐Dominguez, et al.. (2015). CASC15-S Is a Tumor Suppressor lncRNA at the 6p22 Neuroblastoma Susceptibility Locus. Cancer Research. 75(15). 3155–3166. 120 indexed citations
14.
Krytska, Kateryna, Hannah T. Ryles, Renata Sano, et al.. (2015). Crizotinib Synergizes with Chemotherapy in Preclinical Models of Neuroblastoma. Clinical Cancer Research. 22(4). 948–960. 76 indexed citations
15.
Schnepp, Robert W., Edward F. Attiyeh, Pichai Raman, et al.. (2015). A LIN28B-RAN-AURKA Signaling Network Promotes Neuroblastoma Tumorigenesis. Cancer Cell. 28(5). 599–609. 83 indexed citations
16.
Otsuru, Satoru, Ted J. Hofmann, Pichai Raman, et al.. (2015). Genomic and functional comparison of mesenchymal stromal cells prepared using two isolation methods. Cytotherapy. 17(3). 262–270. 15 indexed citations
17.
Tarangelo, Amy, Rebecca Teng, Linh Le, et al.. (2015). Recruitment of Pontin/Reptin by E2f1 amplifies E2f transcriptional response during cancer progression. Nature Communications. 6(1). 10028–10028. 50 indexed citations
18.
Dews, Michael, Grace Tan, Stacy Hultine, et al.. (2014). Masking Epistasis Between MYC and TGF-β Pathways in Antiangiogenesis-Mediated Colon Cancer Suppression. JNCI Journal of the National Cancer Institute. 106(4). dju043–dju043. 15 indexed citations
19.
Düvel, Katrin, Jessica L. Yecies, Suchithra Menon, et al.. (2010). Activation of a Metabolic Gene Regulatory Network Downstream of mTOR Complex 1. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
20.
Düvel, Katrin, Jessica L. Yecies, Suchithra Menon, et al.. (2010). Activation of a Metabolic Gene Regulatory Network Downstream of mTOR Complex 1. Molecular Cell. 39(2). 171–183. 1582 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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