Edward Pao

583 total citations
11 papers, 304 citations indexed

About

Edward Pao is a scholar working on Biomedical Engineering, Oncology and Molecular Biology. According to data from OpenAlex, Edward Pao has authored 11 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Edward Pao's work include Microfluidic and Bio-sensing Technologies (6 papers), Single-cell and spatial transcriptomics (4 papers) and Cancer Cells and Metastasis (4 papers). Edward Pao is often cited by papers focused on Microfluidic and Bio-sensing Technologies (6 papers), Single-cell and spatial transcriptomics (4 papers) and Cancer Cells and Metastasis (4 papers). Edward Pao collaborates with scholars based in United States. Edward Pao's co-authors include Dino Di Carlo, Rajan P. Kulkarni, Matthew B. Rettig, Coleman Murray, Melanie Triboulet, Elodie Sollier‐Christen, Melissa Matsumoto, James Che, Corinne Renier and Stefanie S. Jeffrey and has published in prestigious journals such as Nature Methods, Cancer Research and Scientific Reports.

In The Last Decade

Edward Pao

11 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Edward Pao United States	7	179	95	91	61	29	11	304
Peter F. Favreau United States	11	186 1.0×	80 0.8×	47 0.5×	156 2.6×	21 0.7×	25	403
Edgar Cardenas De La Hoz Belgium	9	68 0.4×	64 0.7×	67 0.7×	28 0.5×	27 0.9×	16	211
Michael D. Glidden United States	6	210 1.2×	82 0.9×	67 0.7×	32 0.5×	23 0.8×	9	349
Dhwanil Damania United States	12	102 0.6×	179 1.9×	67 0.7×	141 2.3×	45 1.6×	18	448
Lindsey A. Barner United States	8	126 0.7×	81 0.9×	39 0.4×	167 2.7×	14 0.5×	15	288
Lucas Kreiß Germany	12	92 0.5×	58 0.6×	23 0.3×	98 1.6×	8 0.3×	31	264
Tomáš Vičar Czechia	11	122 0.7×	124 1.3×	38 0.4×	127 2.1×	23 0.8×	34	479
Wiebke Laffers Germany	11	109 0.6×	138 1.5×	35 0.4×	175 2.9×	20 0.7×	25	389
Marta Rodríguez‐Martínez United Kingdom	8	63 0.4×	446 4.7×	54 0.6×	61 1.0×	34 1.2×	13	576
Siyuan Yin China	7	116 0.6×	263 2.8×	28 0.3×	106 1.7×	41 1.4×	13	414

Countries citing papers authored by Edward Pao

Since Specialization

Citations

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

Fields of papers citing papers by Edward Pao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Pao

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

All Works

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11 of 11 papers shown

Yu, Changhua, Edward Pao, Pietro Perona, et al.. (2025). CellSAM: a foundation model for cell segmentation. Nature Methods. 22(12). 2585–2593. 2 indexed citations

Wang, Xuefei, Rosalind J. Xu, Edward Pao, et al.. (2024). Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning. Cell Systems. 15(5). 475–482.e6. 6 indexed citations

Schwartz, Morgan, et al.. (2023). Scaling biological discovery at the interface of deep learning and cellular imaging. Nature Methods. 20(7). 956–957. 3 indexed citations

Bannon, Dylan, Erick Moen, Morgan Schwartz, et al.. (2021). DeepCell Kiosk: scaling deep learning–enabled cellular image analysis with Kubernetes. Nature Methods. 18(1). 43–45. 86 indexed citations

Murray, Coleman, Hiromi Miwa, Manjima Dhar, et al.. (2018). Unsupervised capture and profiling of rare immune cells using multi-directional magnetic ratcheting. Lab on a Chip. 18(16). 2396–2409. 15 indexed citations

Murray, Coleman, et al.. (2017). Continuous and Quantitative Purification of T-Cell Subsets for Cell Therapy Manufacturing Using Magnetic Ratcheting Cytometry. SLAS TECHNOLOGY. 23(4). 326–337. 12 indexed citations

Renier, Corinne, Edward Pao, James Che, et al.. (2017). Label-free isolation of prostate circulating tumor cells using Vortex microfluidic technology. npj Precision Oncology. 1(1). 15–15. 84 indexed citations

Dhar, Manjima, Edward Pao, Corinne Renier, et al.. (2016). Label-free enumeration, collection and downstream cytological and cytogenetic analysis of circulating tumor cells. Scientific Reports. 6(1). 35474–35474. 49 indexed citations

Murray, Coleman, Edward Pao, Peter Tseng, et al.. (2016). Quantitative Magnetic Separation of Particles and Cells Using Gradient Magnetic Ratcheting. Small. 12(14). 1891–1899. 44 indexed citations

10.

Pao, Edward, Corinne Renier, James Che, et al.. (2016). Abstract 4967: Label-free collection of prostate circulating tumor cells using microfluidic Vortex technology. Cancer Research. 76(14_Supplement). 4967–4967. 1 indexed citations

11.

Dhar, Manjima, James Che, Edward Pao, et al.. (2015). Abstract 1582: Isolation of circulating tumor cells and evaluation of PD-L1 expression in metastatic lung cancer. Cancer Research. 75(15_Supplement). 1582–1582. 2 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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