Arshi Arora

12.2k total citations · 1 hit paper
23 papers, 1.1k citations indexed

About

Arshi Arora is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Arshi Arora has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cancer Research, 10 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Arshi Arora's work include Cancer Genomics and Diagnostics (8 papers), Lung Cancer Research Studies (4 papers) and Genetic factors in colorectal cancer (3 papers). Arshi Arora is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Lung Cancer Research Studies (4 papers) and Genetic factors in colorectal cancer (3 papers). Arshi Arora collaborates with scholars based in United States, Italy and Israel. Arshi Arora's co-authors include Marc Ladanyi, Michael F. Berger, Helen Won, Ronglai Shen, Natasha Rekhtman, Paul K. Paik, Venkatraman Seshan, Ronglai Shen, Charles M. Rudin and Matthew D. Hellmann and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Arshi Arora

23 papers receiving 1.1k citations

Hit Papers

Next-Generation Sequencing of Pulmonary Large Cell Neuroe... 2016 2026 2019 2022 2016 100 200 300

Peers

Arshi Arora
Alexander Augustyn United States
Rutika Mehta United States
Matthew A. Smith United States
Eustratios Bananis United States
Alexander Augustyn United States
Arshi Arora
Citations per year, relative to Arshi Arora Arshi Arora (= 1×) peers Alexander Augustyn

Countries citing papers authored by Arshi Arora

Since Specialization
Citations

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

Fields of papers citing papers by Arshi Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arshi Arora

This figure shows the co-authorship network connecting the top 25 collaborators of Arshi Arora. A scholar is included among the top collaborators of Arshi Arora 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 Arshi Arora. Arshi Arora 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.
Khaleel, Sari, Hong Truong, Song Jiang, et al.. (2023). Adverse pathologic features impact survival outcomes for small renal masses following nephrectomy. Urologic Oncology Seminars and Original Investigations. 41(9). 391.e5–391.e11. 1 indexed citations
2.
Luo, Li, Arshi Arora, Venkatraman Seshan, et al.. (2023). Pathway Alterations in Stage II/III Primary Melanoma. JCO Precision Oncology. 7(7). e2200439–e2200439. 2 indexed citations
3.
Arora, Arshi, Ronglai Shen, & Venkatraman Seshan. (2022). FACETS: Fraction and Allele-Specific Copy Number Estimates from Tumor Sequencing. Methods in molecular biology. 2493. 89–105. 7 indexed citations
4.
Arora, Arshi, Adam B. Olshen, Venkatraman Seshan, & Ronglai Shen. (2020). Pan-cancer identification of clinically relevant genomic subtypes using outcome-weighted integrative clustering. Genome Medicine. 12(1). 110–110. 20 indexed citations
5.
Horvat, Natally, Harini Veeraraghavan, Raphael Pelossof, et al.. (2019). Radiogenomics of rectal adenocarcinoma in the era of precision medicine: A pilot study of associations between qualitative and quantitative MRI imaging features and genetic mutations. European Journal of Radiology. 113. 174–181. 31 indexed citations
6.
Chakraborty, Saptarshi, Arshi Arora, Colin B. Begg, & Ronglai Shen. (2019). Using somatic variant richness to mine signals from rare variants in the cancer genome. Nature Communications. 10(1). 5506–5506. 9 indexed citations
7.
Varghese, Anna M., Arshi Arora, Marinela Capanu, et al.. (2017). Clinical and molecular characterization of patients with cancer of unknown primary in the modern era. Annals of Oncology. 28(12). 3015–3021. 73 indexed citations
8.
Teo, Min Yuen, Xueli Hao, Neil Desai, et al.. (2017). Small cell carcinoma of the bladder (SCCB): Clinical, histopathologic, and genomic predictors of clinical outcomes.. Journal of Clinical Oncology. 35(6_suppl). 294–294. 1 indexed citations
9.
Zhu, Bin, Nan Song, Ronglai Shen, et al.. (2017). Integrating Clinical and Multiple Omics Data for Prognostic Assessment across Human Cancers. Scientific Reports. 7(1). 16954–16954. 75 indexed citations
10.
Rekhtman, Natasha, M. Catherine Pietanza, Matthew D. Hellmann, et al.. (2016). Next-Generation Sequencing of Pulmonary Large Cell Neuroendocrine Carcinoma Reveals Small Cell Carcinoma–like and Non–Small Cell Carcinoma–like Subsets. Clinical Cancer Research. 22(14). 3618–3629. 325 indexed citations breakdown →
11.
Balachandran, Vinod P., Arshi Arora, Mithat Gönen, et al.. (2016). A Validated Prognostic Multigene Expression Assay for Overall Survival in Resected Colorectal Cancer Liver Metastases. Clinical Cancer Research. 22(10). 2575–2582. 29 indexed citations
12.
Harris, Leonard A., Justin Hogg, John A. P. Sekar, et al.. (2016). BioNetGen 2.2: advances in rule-based modeling. Bioinformatics. 32(21). 3366–3368. 131 indexed citations
13.
Correa, Denise D., Jaya M. Satagopan, Kenneth Cheung, et al.. (2016). COMT,BDNF, andDTNBP1polymorphisms and cognitive functions in patients with brain tumors. Neuro-Oncology. 18(10). 1425–1433. 47 indexed citations
15.
Satagopan, Jaya M., Susan A. Oliveria, Arshi Arora, et al.. (2015). Sunburn, sun exposure, and sun sensitivity in the Study of Nevi in Children. Annals of Epidemiology. 25(11). 839–843.e4. 8 indexed citations
16.
Begg, Colin B., Irene Orlow, Emily C. Zabor, et al.. (2015). Identifying Etiologically Distinct Sub‐Types of Cancer: A Demonstration Project Involving Breast Cancer. Cancer Medicine. 4(9). 1432–1439. 16 indexed citations
17.
Begg, Colin B., Venkatraman Seshan, Emily C. Zabor, et al.. (2014). Genomic investigation of etiologic heterogeneity: methodologic challenges. BMC Medical Research Methodology. 14(1). 138–138. 11 indexed citations
18.
Lu, Tung‐Ying, Bo Lin, Yang Li, et al.. (2013). Overexpression of microRNA-1 promotes cardiomyocyte commitment from human cardiovascular progenitors via suppressing WNT and FGF signaling pathways. Journal of Molecular and Cellular Cardiology. 63. 146–154. 55 indexed citations
19.
Coronnello, Claudia, Ryan J. Hartmaier, Arshi Arora, et al.. (2012). Novel Modeling of Combinatorial miRNA Targeting Identifies SNP with Potential Role in Bone Density. PLoS Computational Biology. 8(12). e1002830–e1002830. 31 indexed citations
20.
Madkan, Vandana, et al.. (2007). The oncogenic potential of human papillomaviruses: a review on the role of host genetics and environmental cofactors. British Journal of Dermatology. 157(2). 228–241. 32 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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