Azeet Narayan

935 total citations · 1 hit paper
17 papers, 707 citations indexed

About

Azeet Narayan is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Azeet Narayan has authored 17 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cancer Research, 9 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Azeet Narayan's work include Cancer Genomics and Diagnostics (9 papers), Lung Cancer Treatments and Mutations (6 papers) and Tuberculosis Research and Epidemiology (4 papers). Azeet Narayan is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Lung Cancer Treatments and Mutations (6 papers) and Tuberculosis Research and Epidemiology (4 papers). Azeet Narayan collaborates with scholars based in United States, India and Italy. Azeet Narayan's co-authors include Abhijit A. Patel, Scott Gettinger, Nicholas Carriero, Roy H. Decker, Yogendra Singh, Sarah B. Goldberg, Daniel Zelterman, Nitin Sukumar, Roxanne Nemati and Sameer K. Nath and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Azeet Narayan

15 papers receiving 698 citations

Hit Papers

Early Assessment of Lung Cancer Immunotherapy Response vi... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Azeet Narayan United States 10 378 303 283 280 105 17 707
Orsolya Pipek Hungary 15 183 0.5× 296 1.0× 174 0.6× 295 1.1× 22 0.2× 35 622
Joseph McCarville United States 11 124 0.3× 569 1.9× 65 0.2× 179 0.6× 80 0.8× 22 769
Christopher Alder United Kingdom 7 316 0.8× 298 1.0× 60 0.2× 257 0.9× 17 0.2× 13 655
Tanvi H. Visal United States 4 223 0.6× 411 1.4× 132 0.5× 426 1.5× 45 0.4× 6 774
Liman Qiu China 13 237 0.6× 311 1.0× 108 0.4× 171 0.6× 16 0.2× 21 633
Daniel Vilarim Araújo Canada 12 123 0.3× 245 0.8× 134 0.5× 391 1.4× 33 0.3× 43 705
Maria Chiara Scaini Italy 11 131 0.3× 286 0.9× 67 0.2× 252 0.9× 28 0.3× 21 477
Anupama Pal United States 14 140 0.4× 637 2.1× 80 0.3× 397 1.4× 19 0.2× 18 859
Chang Gon Kim South Korea 11 99 0.3× 282 0.9× 130 0.5× 470 1.7× 60 0.6× 15 893
Katherine Hastings United States 5 117 0.3× 181 0.6× 233 0.8× 367 1.3× 18 0.2× 11 604

Countries citing papers authored by Azeet Narayan

Since Specialization
Citations

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

Fields of papers citing papers by Azeet Narayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azeet Narayan

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

All Works

17 of 17 papers shown
1.
Liu, Ruolin, Farzaneh Darbeheshti, Jin H. Bae, et al.. (2025). Methyl-CODEC enables simultaneous methylation and duplex sequencing. Nucleic Acids Research. 53(10).
2.
Narayan, Azeet, J. M. Wolfe, Dennis Vu, et al.. (2024). Circulating Tumor DNA Dynamics Fail to Predict Efficacy of Poly(ADP-ribose) Polymerase/VEGFR Inhibition in Patients With Heavily Pretreated Advanced Solid Tumors. JCO Precision Oncology. 8(8). e2300289–e2300289.
3.
Narayan, Azeet, Anna Arnal Estape, Scott Gettinger, et al.. (2021). Tumor DNA Mutations From Intraparenchymal Brain Metastases Are Detectable in CSF. JCO Precision Oncology. 5(5). 163–172. 12 indexed citations
4.
Narayan, Azeet, et al.. (2020). 35. EVALUATING CSF CIRCULATING TUMOR DNA IN INTRAPARENCHYMAL BRAIN METASTASIS. Neuro-Oncology Advances. 2(Supplement_2). ii6–ii6. 1 indexed citations
5.
Baro, Marta, Azeet Narayan, Wei Cui, et al.. (2018). Oligosaccharyltransferase Inhibition Overcomes Therapeutic Resistance to EGFR Tyrosine Kinase Inhibitors. Cancer Research. 78(17). 5094–5106. 55 indexed citations
6.
Goldberg, Sarah B., Azeet Narayan, Adam J. Kole, et al.. (2018). Early Assessment of Lung Cancer Immunotherapy Response via Circulating Tumor DNA. Clinical Cancer Research. 24(8). 1872–1880. 317 indexed citations breakdown →
7.
Goldberg, Sarah B., Azeet Narayan, Adam J. Kole, et al.. (2017). Assessing response to immunotherapy in patients with non-small cell lung cancer using circulating tumor DNA. Annals of Oncology. 28. v478–v478. 2 indexed citations
8.
Henick, Brian S., Sarah B. Goldberg, Azeet Narayan, et al.. (2017). Circulating tumor DNA (ctDNA) to monitor treatment response and progression in patients treated with tyrosine kinase inhibitors (TKIs) and immunotherapy for EGFR-mutant non-small cell lung cancer (NSCLC).. Journal of Clinical Oncology. 35(15_suppl). e20652–e20652. 1 indexed citations
9.
Narayan, Azeet, et al.. (2015). High-throughput RNA profiling via up-front sample parallelization. Nature Methods. 12(4). 343–346. 14 indexed citations
10.
Goldberg, Sarah B., Azeet Narayan, Nicholas Carriero, et al.. (2014). Detection of sensitizing and resistance EGFR mutations from circulating tumor DNA (ctDNA) in blood using multiplexed next-generation sequencing in patients with advanced EGFR-mutant lung adenocarcinoma.. Journal of Clinical Oncology. 32(15_suppl). 8093–8093. 1 indexed citations
11.
Narayan, Azeet, Nicholas Carriero, Scott Gettinger, et al.. (2012). Ultrasensitive Measurement of Hotspot Mutations in Tumor DNA in Blood Using Error-Suppressed Multiplexed Deep Sequencing. Cancer Research. 72(14). 3492–3498. 142 indexed citations
12.
Kumar, Krishan, Geeta Ram, Azeet Narayan, et al.. (2009). Phenylalanine-Rich Peptides Potently Bind ESAT6, a Virulence Determinant of Mycobacterium tuberculosis, and Concurrently Affect the Pathogen's Growth. PLoS ONE. 4(11). e7615–e7615. 17 indexed citations
13.
Mattoo, Abid R., Mohd Saif Zaman, Gyanendra P. Dubey, et al.. (2008). Spo0B of Bacillus anthracis – a protein with pleiotropic functions. FEBS Journal. 275(4). 739–752. 15 indexed citations
14.
Narayan, Azeet, et al.. (2008). Loss of kinase activity in Mycobacterium tuberculosis multidomain protein Rv1364c. FEBS Journal. 275(24). 6295–6308. 14 indexed citations
15.
Dubey, Gyanendra P., Azeet Narayan, Abid R. Mattoo, et al.. (2008). Comparative genomic study of spo0E family genes and elucidation of the role of Spo0E in Bacillus anthracis. Archives of Microbiology. 191(3). 241–253. 6 indexed citations
16.
Narayan, Azeet, et al.. (2006). Serine threonine protein kinases of mycobacterial genus: phylogeny to function. Physiological Genomics. 29(1). 66–75. 81 indexed citations
17.
Sharma, Kirti, Harish Chandra, P. K. Gupta, et al.. (2004). PknH, a transmembrane Hank's type serine/threonine kinase fromMycobacterium tuberculosisis differentially expressed under stress conditions. FEMS Microbiology Letters. 233(1). 107–113. 29 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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