Emma Purcell

660 total citations
17 papers, 546 citations indexed

About

Emma Purcell is a scholar working on Molecular Biology, Biomedical Engineering and Cancer Research. According to data from OpenAlex, Emma Purcell has authored 17 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Biomedical Engineering and 4 papers in Cancer Research. Recurrent topics in Emma Purcell's work include Extracellular vesicles in disease (10 papers), Microfluidic and Bio-sensing Technologies (4 papers) and 3D Printing in Biomedical Research (4 papers). Emma Purcell is often cited by papers focused on Extracellular vesicles in disease (10 papers), Microfluidic and Bio-sensing Technologies (4 papers) and 3D Printing in Biomedical Research (4 papers). Emma Purcell collaborates with scholars based in United States, Canada and Belgium. Emma Purcell's co-authors include Sunitha Nagrath, Ting‐Wen Lo, Yoon‐Tae Kang, Shruti Jolly, Nithya Ramnath, Sarah Owen, Mina Zeinali, Ziwen Zhu, Deepak Nagrath and Rishindra M. Reddy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Cancer Research.

In The Last Decade

Emma Purcell

16 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emma Purcell United States 11 391 280 161 54 48 17 546
Nan Xia China 8 137 0.4× 360 1.3× 72 0.4× 20 0.4× 37 0.8× 10 561
Peter M. Aldridge Canada 7 233 0.6× 294 1.1× 51 0.3× 25 0.5× 148 3.1× 8 491
Xuefeng Gu China 10 180 0.5× 80 0.3× 73 0.5× 49 0.9× 57 1.2× 18 377
Stacey M. Gifford United States 7 447 1.1× 462 1.6× 187 1.2× 17 0.3× 22 0.5× 10 772
Merisa Nisic United States 6 266 0.7× 260 0.9× 148 0.9× 14 0.3× 109 2.3× 8 557
Lang Nan China 13 392 1.0× 327 1.2× 291 1.8× 20 0.4× 45 0.9× 26 806
George C. Hartoularos United States 8 403 1.0× 313 1.1× 43 0.3× 85 1.6× 103 2.1× 12 723
Auginia Natalia Singapore 13 457 1.2× 255 0.9× 126 0.8× 28 0.5× 16 0.3× 18 623
Yuqin Shang United States 6 467 1.2× 259 0.9× 148 0.9× 27 0.5× 20 0.4× 9 587

Countries citing papers authored by Emma Purcell

Since Specialization
Citations

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

Fields of papers citing papers by Emma Purcell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Purcell

This figure shows the co-authorship network connecting the top 25 collaborators of Emma Purcell. A scholar is included among the top collaborators of Emma Purcell 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 Emma Purcell. Emma Purcell 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.
Guimarães, Carlos F., Shiqin Liu, Jie Wang, et al.. (2024). Co-axial hydrogel spinning for facile biofabrication of prostate cancer-like 3D models. Biofabrication. 16(2). 25017–25017. 4 indexed citations
2.
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
3.
Purcell, Emma, Sarah Owen, Nithya Ramnath, et al.. (2024). Circulating tumor cells reveal early predictors of disease progression in patients with stage III NSCLC undergoing chemoradiation and immunotherapy. Cell Reports. 43(2). 113687–113687. 7 indexed citations
4.
Purcell, Emma, et al.. (2024). CellMag‐CARWash: A High Throughput Droplet Microfluidic Device for Live Cell Isolation and Single Cell Applications. Advanced Biology. 8(7). e2400066–e2400066. 2 indexed citations
5.
Soto, Fernando, Emma Purcell, Mehmet Ozgün Ozen, et al.. (2022). Robotic Pill for Biomarker and Fluid Sampling in the Gastrointestinal Tract. SHILAP Revista de lepidopterología. 4(6). 12 indexed citations
6.
Wang, Jie, Fernando Soto, Shiqin Liu, et al.. (2022). Volbots: Volvox Microalgae‐Based Robots for Multimode Precision Imaging and Therapy. Advanced Functional Materials. 32(50). 39 indexed citations
7.
Purcell, Emma, et al.. (2022). Recent Advances in Device Engineering and Computational Analysis for Characterization of Cell-Released Cancer Biomarkers. Cancers. 14(2). 288–288. 13 indexed citations
8.
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
9.
Purcell, Emma, Sarah Owen, Ting‐Wen Lo, et al.. (2021). Epidermal Growth Factor Receptor Mutations Carried in Extracellular Vesicle-Derived Cargo Mirror Disease Status in Metastatic Non-small Cell Lung Cancer. Frontiers in Cell and Developmental Biology. 9. 724389–724389. 11 indexed citations
10.
Kang, Yoon‐Tae, Emma Purcell, Ting‐Wen Lo, et al.. (2021). On‐Chip Biogenesis of Circulating NK Cell‐Derived Exosomes in Non‐Small Cell Lung Cancer Exhibits Antitumoral Activity. Advanced Science. 8(6). 2003747–2003747. 86 indexed citations
11.
Purcell, Emma, Costanza Paoletti, Laura Cooling, et al.. (2021). Inertial focusing of circulating tumor cells in whole blood at high flow rates using the microfluidic CTCKey™ device for CTC enrichment. Lab on a Chip. 21(18). 3559–3572. 28 indexed citations
12.
Kang, Yoon‐Tae, et al.. (2021). Isolation of Circulating Biomarkers for Liquid Biopsy using Immunoaffinity‐Based Stimuli‐Responsive Hybrid Hydrogel Beads. Analysis & Sensing. 1(3). 117–129. 6 indexed citations
13.
Kang, Yoon‐Tae, Emma Purcell, Ting‐Wen Lo, et al.. (2020). Abstract 751: Microfluidic isolation (newExoChip) and profiling of cancer-associated exosomes using extracellular vesicular lipid-protein binding affinity. Cancer Research. 80(16_Supplement). 751–751.
14.
Lo, Ting‐Wen, Ziwen Zhu, Emma Purcell, et al.. (2020). Microfluidic device for high-throughput affinity-based isolation of extracellular vesicles. Lab on a Chip. 20(10). 1762–1770. 80 indexed citations
15.
Kang, Yoon‐Tae, Ting‐Wen Lo, Emma Purcell, et al.. (2020). Dual‐Isolation and Profiling of Circulating Tumor Cells and Cancer Exosomes from Blood Samples with Melanoma Using Immunoaffinity‐Based Microfluidic Interfaces. Advanced Science. 7(19). 2001581–2001581. 83 indexed citations
16.
Kang, Yoon‐Tae, Emma Purcell, Ting‐Wen Lo, et al.. (2019). Isolation and Profiling of Circulating Tumor‐Associated Exosomes Using Extracellular Vesicular Lipid–Protein Binding Affinity Based Microfluidic Device. Small. 15(47). e1903600–e1903600. 138 indexed citations
17.
Kang, Yoon‐Tae, et al.. (2019). Multiplex isolation and profiling of extracellular vesicles using a microfluidic DICE device. The Analyst. 144(19). 5785–5793. 17 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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