Nathan S. Swami

4.4k total citations
115 papers, 3.6k citations indexed

About

Nathan S. Swami is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Nathan S. Swami has authored 115 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Biomedical Engineering, 51 papers in Electrical and Electronic Engineering and 23 papers in Molecular Biology. Recurrent topics in Nathan S. Swami's work include Microfluidic and Bio-sensing Technologies (46 papers), Microfluidic and Capillary Electrophoresis Applications (22 papers) and Molecular Junctions and Nanostructures (13 papers). Nathan S. Swami is often cited by papers focused on Microfluidic and Bio-sensing Technologies (46 papers), Microfluidic and Capillary Electrophoresis Applications (22 papers) and Molecular Junctions and Nanostructures (13 papers). Nathan S. Swami collaborates with scholars based in United States, Taiwan and Italy. Nathan S. Swami's co-authors include Bankim J. Sanghavi, Chia‐Fu Chou, Ali Haeri Rohani, Walter Varhue, Carlos Honrado, Yi‐Hsuan Su, Thomas Hirsch, Otto S. Wolfbeis, Giovanni Zangari and Jorge L. Chávez and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

Nathan S. Swami

110 papers receiving 3.6k citations

Peers

Nathan S. Swami
Xiaofeng Kang China
Fausto Sanz Spain
Xiangqun Zeng United States
Valentine I. Vullev United States
Kwangnak Koh South Korea
Andrzej Kudelski Poland
Sivaramapanicker Sreejith Singapore
Jing Han China
Andrew J. de Mello United Kingdom
Xiaofeng Kang China
Nathan S. Swami
Citations per year, relative to Nathan S. Swami Nathan S. Swami (= 1×) peers Xiaofeng Kang

Countries citing papers authored by Nathan S. Swami

Since Specialization
Citations

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

Fields of papers citing papers by Nathan S. Swami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan S. Swami. 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 Nathan S. Swami. The network helps show where Nathan S. Swami may publish in the future.

Co-authorship network of co-authors of Nathan S. Swami

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

All Works

20 of 20 papers shown
1.
Brown, Kimberly M., et al.. (2025). Characterizing Recent PDMS Changes in Electrokinetic‐Based Microfluidic Devices’ Performance and Manufacturing for Cell Sorting Applications. Electrophoresis. 46(16). 1185–1194. 1 indexed citations
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Liu, Yi, et al.. (2024). Redox cycling-based signal amplification at alkanethiol modified nanoporous gold interdigitated microelectrodes. Analytica Chimica Acta. 1316. 342818–342818. 2 indexed citations
4.
Leïchlé, Thierry, et al.. (2023). Direct in situ and real-time visualization of salt-dependent thiolated-DNA immobilization and biosensing on gold in nanofluidic channels. Sensors and Actuators B Chemical. 394. 134303–134303. 3 indexed citations
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Salahi, Armita, Carlos Honrado, John H. Moore, et al.. (2023). Supervised learning on impedance cytometry data for label-free biophysical distinction of pancreatic cancer cells versus their associated fibroblasts under gemcitabine treatment. Biosensors and Bioelectronics. 231. 115262–115262. 17 indexed citations
7.
Xiao, Li, Armita Salahi, Jin Li, et al.. (2023). Multichannel Impedance Cytometry Downstream of Cell Separation by Deterministic Lateral Displacement to Quantify Macrophage Enrichment in Heterogeneous Samples. Advanced Materials Technologies. 8(8). 12 indexed citations
8.
Reardon, Kenneth F., Marcie R. Black, Chrysanthi Williams, et al.. (2022). Sensor technologies for quality control in engineered tissue manufacturing. Biofabrication. 15(1). 12001–12001. 10 indexed citations
9.
Varhue, Walter, et al.. (2022). Perfusable cell-laden micropatterned hydrogels for delivery of spatiotemporal vascular-like cues to tissues. PubMed. 4. 100017–100017. 1 indexed citations
10.
Honrado, Carlos, Sara J. Adair, John H. Moore, et al.. (2021). Apoptotic Bodies in the Pancreatic Tumor Cell Culture Media Enable Label‐Free Drug Sensitivity Assessment by Impedance Cytometry. Advanced Biology. 5(8). e2100438–e2100438. 19 indexed citations
11.
Moore, John H., et al.. (2020). Rapid in Vitro Assessment of Clostridioides difficile Inhibition by Probiotics Using Dielectrophoresis to Quantify Cell Structure Alterations. ACS Infectious Diseases. 6(5). 1000–1007. 19 indexed citations
12.
Honrado, Carlos, et al.. (2020). Label-Free Quantification of Cell Cycle Synchronicity of Human Neural Progenitor Cells Based on Electrophysiology Phenotypes. ACS Sensors. 6(1). 156–165. 21 indexed citations
13.
Honrado, Carlos, et al.. (2020). A neural network approach for real-time particle/cell characterization in microfluidic impedance cytometry. Analytical and Bioanalytical Chemistry. 412(16). 3835–3845. 74 indexed citations
14.
Varhue, Walter, et al.. (2019). On-Chip Impedance for Quantifying Parasitic Voltages During AC Electrokinetic Trapping. IEEE Transactions on Biomedical Engineering. 67(6). 1664–1671. 10 indexed citations
15.
Moore, John H., Walter Varhue, Todd E. Fox, et al.. (2019). Conductance-Based Biophysical Distinction and Microfluidic Enrichment of Nanovesicles Derived from Pancreatic Tumor Cells of Varying Invasiveness. Analytical Chemistry. 91(16). 10424–10431. 35 indexed citations
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Rohani, Ali Haeri, John H. Moore, Jennifer A. Kashatus, et al.. (2017). Label-Free Quantification of Intracellular Mitochondrial Dynamics Using Dielectrophoresis. Analytical Chemistry. 89(11). 5757–5764. 54 indexed citations
18.
Neal, Rebekah A., Sunil S. Tholpady, Patricia L. Foley, et al.. (2011). Alignment and composition of laminin–polycaprolactone nanofiber blends enhance peripheral nerve regeneration. Journal of Biomedical Materials Research Part A. 100A(2). 406–423. 79 indexed citations
19.
Camacho‐Alanis, Fernanda, Homero Castaneda, Giovanni Zangari, & Nathan S. Swami. (2011). Electrochemical Impedance Study of GaAs Surface Charge Modulation through the Deprotonation of Carboxylic Acid Monolayers. Langmuir. 27(18). 11273–11277. 8 indexed citations
20.
Gorman, Michael E., et al.. (2008). Identification of Risks in the Life Cycle of Nanotechnology‐Based Products. Journal of Industrial Ecology. 12(3). 435–448. 72 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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