Ninad Dewal

3.0k total citations · 1 hit paper
9 papers, 514 citations indexed

About

Ninad Dewal is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Ninad Dewal has authored 9 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Genetics. Recurrent topics in Ninad Dewal's work include Cancer Genomics and Diagnostics (7 papers), Prostate Cancer Treatment and Research (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). Ninad Dewal is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Prostate Cancer Treatment and Research (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). Ninad Dewal collaborates with scholars based in United States, Switzerland and Malaysia. Ninad Dewal's co-authors include Priti S. Hegde, Christine Burns, Pei Ma, Wei Meng, Jason D. Hughes, Lucas Dennis, Meijuan Li, Mark Kennedy, Travis Clark and Joel Skoletsky and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and PLoS ONE.

In The Last Decade

Ninad Dewal

9 papers receiving 510 citations

Hit Papers

Clinical and analytical validation of FoundationOne Liqui... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ninad Dewal United States 6 305 228 206 194 79 9 514
Abhaya Paladugu United States 7 174 0.6× 217 1.0× 101 0.5× 133 0.7× 116 1.5× 9 430
IE Smith United Kingdom 6 230 0.8× 228 1.0× 121 0.6× 257 1.3× 121 1.5× 9 577
Elisa Schipper Germany 14 365 1.2× 405 1.8× 61 0.3× 101 0.5× 66 0.8× 28 592
Tse Hui Lim Singapore 14 107 0.4× 150 0.7× 125 0.6× 175 0.9× 74 0.9× 30 427
Christoph E. Heilig Germany 11 117 0.4× 265 1.2× 104 0.5× 135 0.7× 136 1.7× 32 547
Christoph Heining Germany 9 118 0.4× 240 1.1× 127 0.6× 246 1.3× 183 2.3× 29 567
Madlyn Ferraro United States 7 280 0.9× 193 0.8× 222 1.1× 483 2.5× 17 0.2× 9 738
Leylah Drusbosky United States 13 188 0.6× 198 0.9× 183 0.9× 223 1.1× 105 1.3× 72 522
Aparna Pallavajjala United States 12 109 0.4× 136 0.6× 80 0.4× 138 0.7× 26 0.3× 32 373
Amelie Lier Germany 8 238 0.8× 130 0.6× 208 1.0× 288 1.5× 25 0.3× 9 467

Countries citing papers authored by Ninad Dewal

Since Specialization
Citations

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

Fields of papers citing papers by Ninad Dewal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ninad Dewal

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

All Works

9 of 9 papers shown
1.
Li, Meijuan, Jason D. Hughes, Joel Skoletsky, et al.. (2020). Clinical and analytical validation of FoundationOne Liquid CDx, a novel 324-Gene cfDNA-based comprehensive genomic profiling assay for cancers of solid tumor origin. PLoS ONE. 15(9). e0237802–e0237802. 265 indexed citations breakdown →
2.
Dennis, Lucas, Meijuan Li, Christine Burns, et al.. (2020). Clinical and analytical validation of FoundationOne Liquid CDx, a novel 324-gene blood-based comprehensive genomic profiling assay.. Journal of Clinical Oncology. 38(15_suppl). e13685–e13685. 3 indexed citations
3.
Chung, Jon, Ninad Dewal, Ethan Sokol, et al.. (2019). Prospective Comprehensive Genomic Profiling of Primary and Metastatic Prostate Tumors. JCO Precision Oncology. 3(3). 1–23. 102 indexed citations
4.
Chung, Jon, Ninad Dewal, Laurie M. Gay, et al.. (2018). Prospective comprehensive genomic profiling (CGP) of 3,343 primary and metastatic site prostate tumors. Annals of Oncology. 29. viii272–viii272. 1 indexed citations
5.
Chaikriangkrai, Kongkiat, et al.. (2018). Prognostic Performance of Prospective versus Retrospective Electrocardiographic Gating in Coronary Computed Tomographic Angiography. Texas Heart Institute Journal. 45(4). 214–220. 3 indexed citations
6.
Farrar, Jason E., Rhonda E. Ries, Daniel Wai, et al.. (2016). Genomic Profiling of Pediatric Acute Myeloid Leukemia Reveals a Changing Mutational Landscape from Disease Diagnosis to Relapse. Cancer Research. 76(8). 2197–2205. 104 indexed citations
7.
Dewal, Ninad, Yang Hu, Matthew L. Freedman, Thomas LaFramboise, & Itsik Pe’er. (2011). Calling amplified haplotypes in next generation tumor sequence data. Genome Research. 22(2). 362–374. 8 indexed citations
8.
LaFramboise, Thomas, Ninad Dewal, Katherine Wilkins, Itsik Pe’er, & Matthew L. Freedman. (2010). Allelic Selection of Amplicons in Glioblastoma Revealed by Combining Somatic and Germline Analysis. PLoS Genetics. 6(9). e1001086–e1001086. 21 indexed citations
9.
Dewal, Ninad, Matthew L. Freedman, Thomas LaFramboise, & Itsik Pe’er. (2009). Power to detect selective allelic amplification in genome-wide scans of tumor data. Bioinformatics. 26(4). 518–528. 7 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026