Sandeep Namburi

1.6k total citations · 1 hit paper
13 papers, 905 citations indexed

About

Sandeep Namburi is a scholar working on Cancer Research, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Sandeep Namburi has authored 13 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Molecular Biology. Recurrent topics in Sandeep Namburi's work include Cancer Genomics and Diagnostics (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Genetic factors in colorectal cancer (4 papers). Sandeep Namburi is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Genetic factors in colorectal cancer (4 papers). Sandeep Namburi collaborates with scholars based in United States, Australia and Germany. Sandeep Namburi's co-authors include Jeffrey H. Chuang, Preeti Bais, Javad Noorbakhsh, Jonathan F. Anker, Young Kwang Chae, Keith E. Szulwach, Bing Ren, Yujing Li, Ji Woong Han and Karen Hermetz and has published in prestigious journals such as Nature Communications, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Sandeep Namburi

13 papers receiving 895 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.

Extrachromosomal DNA is associated with oncogene amplification and poor outcome across multiple cancers

2020 260 citations Hoon Kim, Nam Nguyen et al. Nature Genetics profile →

Peers

Countries citing papers authored by Sandeep Namburi

Since Specialization

Citations

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

Fields of papers citing papers by Sandeep Namburi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeep Namburi

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Abstract PO-003: Deep learning identifies conserved pan-cancer tumor features 2021 ·Clinical Cancer Research ·Javad Noorbakhsh, Saman Farahmand, Ali Foroughi pour, Sandeep Namburi, Dennis L. Caruana, David L. Rimm, (unknown), Kourosh Zarringhalam, Jeffrey H. Chuang	1
2	Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images 2020 ·Nature Communications ·Javad Noorbakhsh, Saman Farahmand, Ali Foroughi pour, Sandeep Namburi, Dennis L. Caruana, David L. Rimm, (unknown), Kourosh Zarringhalam, Jeffrey H. Chuang	124
3	ChIA-PIPE: A fully automated pipeline for comprehensive ChIA-PET data analysis and visualization 2020 ·Science Advances ·Byoungkoo Lee, Jiahui Wang, Liuyang Cai, Minji Kim, Sandeep Namburi, Harianto Tjong, Yuliang Feng, Ping Wang, Zhonghui Tang, Ahmed K. Abbas, Chia‐Lin Wei, Yijun Ruan, Sheng Li	26
4	Extrachromosomal DNA is associated with oncogene amplification and poor outcome across multiple cancers breakdown → 2020 ·Nature Genetics ·Hoon Kim, Nam Nguyen, Kristen M. Turner, Sihan Wu, Amit D. Gujar, Jens Luebeck, Jihe Liu, Viraj Deshpande, Utkrisht Rajkumar, Sandeep Namburi, Samirkumar B. Amin, Eunhee Yi, Francesca Menghi, Johannes H. Schulte, Anton G. Henssen, Howard Y. Chang, Christine R. Beck, Paul S. Mischel, Vineet Bafna, Roel G.W. Verhaak	260
5	CUP-AI-Dx: A tool for inferring cancer tissue of origin and molecular subtype using RNA gene-expression data and artificial intelligence 2020 ·EBioMedicine ·Yue Zhao, Ziwei Pan, Sandeep Namburi, Andrew Pattison, (unknown), Shiva Balachander, Carolyn Paisie, Honey V. Reddi, Jens Rueter, Anthony J. Gill, Stephen B. Fox, Kanwal Raghav, William F. Flynn, Richard W. Tothill, Sheng Li, R. Krishna Murthy Karuturi, Joshy George	64
6	Fostering bioinformatics education through skill development of professors: Big Genomic Data Skills Training for Professors 2019 ·PLoS Computational Biology ·Yingqian A. Zhan, Charles G. Wray, Sandeep Namburi, Spencer T. Glantz, Reinhard Laubenbacher, Jeffrey H. Chuang	10
7	Mutations in DNA repair genes are associated with increased neoantigen burden and a distinct immunophenotype in lung squamous cell carcinoma 2019 ·Scientific Reports ·Young Kwang Chae, Jonathan F. Anker, Michael S. Oh, Preeti Bais, Sandeep Namburi, Sarita Agte, Francis J. Giles, Jeffrey H. Chuang	55
8	Abstract 1632: Deep learning functional associations using histopathology images 2019 ·Javad Noorbakhsh, Saman Farahmand, (unknown), Sandeep Namburi, Kourosh Zarringhalam, (unknown)	1
9	Distribution-based measures of tumor heterogeneity are sensitive to mutation calling and lack strong clinical predictive power 2018 ·Scientific Reports ·Javad Noorbakhsh, Hyunsoo Kim, Sandeep Namburi, Jeffrey H. Chuang	14
10	Immunologic and clinical implications of CD73 expression in non-small cell lung cancer (NSCLC). 2018 ·Journal of Clinical Oncology ·Lee Chun Park, (unknown), (unknown), (unknown), (unknown), Jonathan F. Anker, Michael S. Oh, Preeti Bais, Sandeep Namburi, (unknown), Young Kwang Chae	18
11	CloudNeo: a cloud pipeline for identifying patient-specific tumor neoantigens 2017 ·Bioinformatics ·Preeti Bais, Sandeep Namburi, Daniel M. Gatti, (unknown), Jeffrey H. Chuang	53
12	Mutations in DNA repair genes are associated with increased neo-antigen load and activated T cell infiltration in lung adenocarcinoma 2017 ·Oncotarget ·Young Kwang Chae, Jonathan F. Anker, Preeti Bais, Sandeep Namburi, Francis J. Giles, Jeffrey H. Chuang	52
13	Integrating 5-Hydroxymethylcytosine into the Epigenomic Landscape of Human Embryonic Stem Cells 2011 ·PLoS Genetics ·Keith E. Szulwach, Xuekun Li, Yujing Li, Chun‐Xiao Song, Ji Woong Han, Sangsung Kim, Sandeep Namburi, Karen Hermetz, (unknown), M. Katharine Rudd, Young‐sup Yoon, Bing Ren, Chuan He, Peng Jin	227

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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