Arjun P. Sudarsan

1.5k total citations
10 papers, 1.2k citations indexed

About

Arjun P. Sudarsan is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Infectious Diseases. According to data from OpenAlex, Arjun P. Sudarsan has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 5 papers in Electrical and Electronic Engineering and 0 papers in Infectious Diseases. Recurrent topics in Arjun P. Sudarsan's work include Microfluidic and Capillary Electrophoresis Applications (6 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers) and Microfluidic and Bio-sensing Technologies (4 papers). Arjun P. Sudarsan is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (6 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers) and Microfluidic and Bio-sensing Technologies (4 papers). Arjun P. Sudarsan collaborates with scholars based in United States. Arjun P. Sudarsan's co-authors include Victor M. Ugaz, Prasanna K. Thwar, Michael Pollack, Vamsee K. Pamula, Allen E. Eckhardt, Vijay Srinivasan, Zhishan Hua, Ramakrishna Sista, Jian Wang and Jen‐Huang Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Analytical Chemistry.

In The Last Decade

Arjun P. Sudarsan

10 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arjun P. Sudarsan United States	7	1.0k	550	190	64	46	10	1.2k
K.V.I.S. Kaler Canada	21	1.1k 1.1×	737 1.3×	62 0.3×	74 1.2×	21 0.5×	88	1.4k
Peter B. Howell United States	19	1.0k 1.0×	363 0.7×	87 0.5×	110 1.7×	61 1.3×	24	1.2k
Yu-Cheng Lin Taiwan	17	594 0.6×	239 0.4×	48 0.3×	133 2.1×	29 0.6×	43	797
Senol Mutlu Türkiye	15	564 0.5×	381 0.7×	99 0.5×	43 0.7×	10 0.2×	49	847
Haiqing Gong Singapore	18	648 0.6×	258 0.5×	56 0.3×	208 3.3×	54 1.2×	37	901
John D. Williams United States	15	391 0.4×	399 0.7×	64 0.3×	105 1.6×	25 0.5×	42	702
Ali Hashmi United States	14	460 0.4×	280 0.5×	64 0.3×	58 0.9×	79 1.7×	35	880
Dongchoul Kim South Korea	18	445 0.4×	229 0.4×	173 0.9×	159 2.5×	61 1.3×	66	989
Alongkorn Pimpin Thailand	12	406 0.4×	235 0.4×	54 0.3×	97 1.5×	32 0.7×	48	717
Yiping Huang China	9	504 0.5×	259 0.5×	83 0.4×	41 0.6×	19 0.4×	36	745

Countries citing papers authored by Arjun P. Sudarsan

Since Specialization

Citations

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

Fields of papers citing papers by Arjun P. Sudarsan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arjun P. Sudarsan. 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 Arjun P. Sudarsan. The network helps show where Arjun P. Sudarsan may publish in the future.

Co-authorship network of co-authors of Arjun P. Sudarsan

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

All Works

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10 of 10 papers shown

Madison, Andrew C., Richard B. Fair, John A. Harrington, et al.. (2013). SOFTWARE AUTOMATED GENOMIC ENGINEERING (SAGE) ENABLED BY ELECTROWETTING-ON-DIELECTRIC DIGITAL MICROFLUIDICS. 1 indexed citations

Rajaram, S., et al.. (2012). Thermal aware modern VLSI floorplanning. 187–190. 5 indexed citations

Benton, Jonathan L., Prasanna K. Thwar, Jeremy Rouse, et al.. (2011). Droplet-Based Pyrosequencing Using Digital Microfluidics. Analytical Chemistry. 83(22). 8439–8447. 55 indexed citations

Huang, Jen‐Huang, Jeongyun Kim, Nitin Agrawal, et al.. (2009). Artificial Vasculature: Rapid Fabrication of Bio‐inspired 3D Microfluidic Vascular Networks (Adv. Mater. 35/2009). Advanced Materials. 21(35). 1 indexed citations

Huang, Jen‐Huang, Jeongyun Kim, Nitin Agrawal, et al.. (2009). Rapid Fabrication of Bio‐inspired 3D Microfluidic Vascular Networks. Advanced Materials. 21(35). 3567–3571. 80 indexed citations

Sista, Ramakrishna, Zhishan Hua, Prasanna K. Thwar, et al.. (2008). Development of a digital microfluidic platform for point of care testing. Lab on a Chip. 8(12). 2091–2091. 431 indexed citations

Sudarsan, Arjun P. & Victor M. Ugaz. (2006). Multivortex micromixing. Proceedings of the National Academy of Sciences. 103(19). 7228–7233. 261 indexed citations

Sudarsan, Arjun P., Jian Wang, & Victor M. Ugaz. (2005). Thermoplastic Elastomer Gels: An Advanced Substrate for Microfluidic Chemical Analysis Systems. Analytical Chemistry. 77(16). 5167–5173. 50 indexed citations

Sudarsan, Arjun P. & Victor M. Ugaz. (2005). Fluid mixing in planar spiral microchannels. Lab on a Chip. 6(1). 74–82. 250 indexed citations

10.

Sudarsan, Arjun P. & Victor M. Ugaz. (2004). Printed Circuit Technology for Fabrication of Plastic-Based Microfluidic Devices. Analytical Chemistry. 76(11). 3229–3235. 41 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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