Sunitha Nagrath

13.8k total citations · 4 hit papers
107 papers, 9.4k citations indexed

About

Sunitha Nagrath is a scholar working on Oncology, Biomedical Engineering and Cancer Research. According to data from OpenAlex, Sunitha Nagrath has authored 107 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Oncology, 47 papers in Biomedical Engineering and 38 papers in Cancer Research. Recurrent topics in Sunitha Nagrath's work include Cancer Cells and Metastasis (60 papers), Cancer Genomics and Diagnostics (33 papers) and 3D Printing in Biomedical Research (25 papers). Sunitha Nagrath is often cited by papers focused on Cancer Cells and Metastasis (60 papers), Cancer Genomics and Diagnostics (33 papers) and 3D Printing in Biomedical Research (25 papers). Sunitha Nagrath collaborates with scholars based in United States, Germany and Canada. Sunitha Nagrath's co-authors include Mehmet Toner, Lecia V. Sequist, Daniel A. Haber, Shyamala Maheswaran, Daniel Irimia, Ronald G. Tompkins, Lindsey Ulkus, Subba R. Digumarthy, Alona Muzikansky and Daphne W. Bell and has published in prestigious journals such as Nature, New England Journal of Medicine and Advanced Materials.

In The Last Decade

Sunitha Nagrath

103 papers receiving 9.2k 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.

Isolation of rare circulating tumour cells in cancer patients by microchip technology

2007 2.9k citations Sunitha Nagrath, Lecia V. Sequist et al. profile →
Detection of Mutations in EGFR in Circulating Lung-Cancer Cells

2008 1.3k citations Lecia V. Sequist, Sunitha Nagrath et al. profile →
Microfluidic device (ExoChip) for on-chip isolation, quantification and characterization of circulating exosomes

2014 535 citations Diane M. Simeone, Sunitha Nagrath et al. profile →
Sensitive capture of circulating tumour cells by functionalized graphene oxide nanosheets

2013 462 citations Tae Hyun Kim, Ebrahim Azizi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sunitha Nagrath United States	39	4.6k	4.5k	3.2k	3.0k	1.5k	107	9.4k
Shannon L. Stott United States	31	4.9k 1.1×	3.2k 0.7×	3.1k 1.0×	2.6k 0.9×	1.1k 0.7×	62	8.3k
Triantafyllos Stylianopoulos Cyprus	51	3.5k 0.8×	7.3k 1.6×	1.5k 0.5×	4.3k 1.4×	1.1k 0.7×	167	14.9k
Yves Boucher United States	59	5.9k 1.3×	5.4k 1.2×	3.6k 1.1×	6.8k 2.2×	1.7k 1.1×	111	17.0k
Shyamala Maheswaran United States	60	10.3k 2.3×	5.3k 1.2×	6.5k 2.0×	9.1k 3.0×	3.7k 2.4×	130	20.4k
Fan Yuan United States	47	1.5k 0.3×	4.3k 1.0×	1.8k 0.6×	5.0k 1.6×	662 0.4×	149	11.4k
Subba R. Digumarthy United States	38	4.3k 0.9×	3.2k 0.7×	2.0k 0.6×	1.9k 0.6×	4.8k 3.1×	193	10.3k
Eunice L. Kwak United States	43	7.1k 1.6×	1.9k 0.4×	2.8k 0.9×	4.0k 1.3×	5.3k 3.4×	132	12.6k
Catherine Alix‐Panabières France	48	7.6k 1.7×	2.4k 0.5×	6.8k 2.2×	3.8k 1.3×	2.7k 1.8×	152	11.8k
Ram H. Datar United States	36	2.2k 0.5×	2.3k 0.5×	1.3k 0.4×	2.2k 0.7×	769 0.5×	80	6.8k
John L. Humm United States	68	2.3k 0.5×	1.9k 0.4×	2.3k 0.7×	2.1k 0.7×	5.7k 3.7×	294	15.5k

Countries citing papers authored by Sunitha Nagrath

Since Specialization

Citations

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

Fields of papers citing papers by Sunitha Nagrath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunitha Nagrath

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

All Works

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20 of 20 papers shown

Brenner, Dean E., et al.. (2025). Multiplex characterization of circulating tumor cells from ductal carcinoma in situ patients suggests early tumor dissemination. Cancer Letters. 623. 217703–217703.

Nagrath, Sunitha, et al.. (2025). Machine Learning Scoring Reveals Increased Frequency of Falls Proximal to Death in Drosophila melanogaster. The Journals of Gerontology Series A. 80(6).

Li, Grace, et al.. (2025). Evaluation of Cell‐Extracellular Vesicle Interaction Using a Microfluidic Microsystem ( ^Cell ExoChip). Advanced Materials Technologies. 10(23).

Kozminsky, Molly, Kathleen C. Day, Rebecca Tagett, et al.. (2024). Characterization of circulating tumor cells in patients with metastatic bladder cancer utilizing functionalized microfluidics. Neoplasia. 57. 101036–101036. 1 indexed citations

Kang, Yoon‐Tae, Ji‐Young Kim, Emine Sumeyra Turali Emre, et al.. (2024). Chiroptical detection and mutation analysis of cancer-associated extracellular vesicles using microfluidics with oriented chiral nanoparticles. Matter. 7(12). 4373–4389. 8 indexed citations

Kim, Bhumsoo, Yoon‐Tae Kang, Faye E. Mendelson, et al.. (2023). Palmitate and glucose increase amyloid precursor protein in extracellular vesicles: Missing link between metabolic syndrome and Alzheimer's disease. Journal of Extracellular Vesicles. 12(11). e12340–e12340. 11 indexed citations

Achreja, Abhinav, Noah Meurs, Olamide Animasahun, et al.. (2023). Porous PDMS‐Based Microsystem (ExoSponge) for Rapid Cost‐Effective Tumor Extracellular Vesicle Isolation and Mass Spectrometry‐Based Metabolic Biomarker Screening. Advanced Materials Technologies. 8(9). 5 indexed citations

Tan, Xiaotian, Kathleen C. Day, Xuzhou Li, et al.. (2021). Quantification and immunoprofiling of bladder cancer cell-derived extracellular vesicles with microfluidic chemiluminescent ELISA. Biosensors and Bioelectronics X. 8. 100066–100066. 12 indexed citations

Kim, Tae Hyun, Yang Wang, C. Ryan Oliver, et al.. (2019). A temporary indwelling intravascular aphaeretic system for in vivo enrichment of circulating tumor cells. Nature Communications. 10(1). 1478–1478. 94 indexed citations

10.

Wang, Yang, Tae Hyun Kim, Shamileh Fouladdel, et al.. (2019). PD-L1 Expression in Circulating Tumor Cells Increases during Radio(chemo)therapy and Indicates Poor Prognosis in Non-small Cell Lung Cancer. Scientific Reports. 9(1). 566–566. 104 indexed citations

11.

Praharaj, Prakash Priyadarshi, Sujit K. Bhutia, Sunitha Nagrath, Rhonda L. Bitting, & Gagan Deep. (2018). Circulating tumor cell-derived organoids: Current challenges and promises in medical research and precision medicine. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1869(2). 117–127. 114 indexed citations

12.

Murlidhar, Vasudha, Rishindra M. Reddy, Shamileh Fouladdel, et al.. (2017). Poor Prognosis Indicated by Venous Circulating Tumor Cell Clusters in Early-Stage Lung Cancers. Cancer Research. 77(18). 5194–5206. 139 indexed citations

13.

Syverud, Brian C., Eric Lin, Sunitha Nagrath, & Lisa M. Larkin. (2017). Label-Free, High-Throughput Purification of Satellite Cells Using Microfluidic Inertial Separation. Tissue Engineering Part C Methods. 24(1). 32–41. 16 indexed citations

14.

Waghray, Meghna, Malica Yalamanchili, Michele Dziubinski, et al.. (2016). GM-CSF Mediates Mesenchymal–Epithelial Cross-talk in Pancreatic Cancer. Cancer Discovery. 6(8). 886–899. 152 indexed citations

15.

Day, Kathleen C., Guadalupe Lorenzatti Hiles, Molly Kozminsky, et al.. (2016). HER2 and EGFR Overexpression Support Metastatic Progression of Prostate Cancer to Bone. Cancer Research. 77(1). 74–85. 145 indexed citations

16.

Zhang, Zhuo, Hiroe Shiratsuchi, Nallasivam Palanisamy, Sunitha Nagrath, & Nithya Ramnath. (2016). Expanded Circulating Tumor Cells from a Patient with ALK- Positive Lung Cancer Present with EML4-ALK Rearrangement Along with Resistance Mutation and Enable Drug Sensitivity Testing: A Case Study. Journal of Thoracic Oncology. 12(2). 397–402. 38 indexed citations

17.

Zhang, Zhuo, Nithya Ramnath, & Sunitha Nagrath. (2015). Current Status of CTCs as Liquid Biopsy in Lung Cancer and Future Directions. Frontiers in Oncology. 5. 209–209. 52 indexed citations

18.

Sequist, Lecia V., Sunitha Nagrath, Mehmet Toner, Daniel A. Haber, & Thomas J. Lynch. (2009). The CTC-Chip: An Exciting New Tool to Detect Circulating Tumor Cells in Lung Cancer Patients. Journal of Thoracic Oncology. 4(3). 281–283. 157 indexed citations

19.

Nagrath, Sunitha, Kenneth E. Jansen, & R.T. Lahey. (2003). Three Dimensional Simulation of Incompressible Two-phase Flows Using a Stabilized Finite Element Method and a Level Set Approach. APS. 56. 4 indexed citations

20.

Nagrath, Sunitha, et al.. (1971). Primary carcinoma of lung: clinico-pathological study of 35 cases.. PubMed. 12(1). 15–24. 14 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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