Ramesh Utharala

1.1k total citations
9 papers, 838 citations indexed

About

Ramesh Utharala is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Ramesh Utharala has authored 9 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 4 papers in Electrical and Electronic Engineering and 2 papers in Molecular Biology. Recurrent topics in Ramesh Utharala's work include Innovative Microfluidic and Catalytic Techniques Innovation (9 papers), Electrowetting and Microfluidic Technologies (4 papers) and Microfluidic and Bio-sensing Technologies (3 papers). Ramesh Utharala is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (9 papers), Electrowetting and Microfluidic Technologies (4 papers) and Microfluidic and Bio-sensing Technologies (3 papers). Ramesh Utharala collaborates with scholars based in Germany, Switzerland and Spain. Ramesh Utharala's co-authors include Christoph A. Merten, Chawaree Chaipan, Irina V. Balyasnikova, Bachir El Debs, Andrew D. Griffiths, Julio Sáez-Rodríguez, Federica Eduati, Dharanija Madhavan, Thomas Longerich and Thorsten Cramer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Analytical Chemistry.

In The Last Decade

Ramesh Utharala

9 papers receiving 824 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramesh Utharala Germany 8 710 276 175 84 49 9 838
Jenifer Clausell-Tormos France 6 706 1.0× 314 1.1× 175 1.0× 103 1.2× 24 0.5× 9 907
Unyoung Kim United States 10 636 0.9× 220 0.8× 157 0.9× 28 0.3× 16 0.3× 23 767
Pooja Sabhachandani United States 13 479 0.7× 72 0.3× 201 1.1× 131 1.6× 18 0.4× 18 646
Gregor Kijanka Ireland 18 425 0.6× 137 0.5× 315 1.8× 92 1.1× 138 2.8× 34 850
Lih Feng Cheow Singapore 18 598 0.8× 218 0.8× 512 2.9× 36 0.4× 14 0.3× 43 1.1k
Adam Sciambi United States 12 516 0.7× 268 1.0× 326 1.9× 53 0.6× 11 0.2× 23 777
Matthew R. DeWitt United States 13 398 0.6× 70 0.3× 74 0.4× 52 0.6× 105 2.1× 22 650
Bachir El Debs Germany 3 386 0.5× 181 0.7× 157 0.9× 15 0.2× 38 0.8× 4 513
Aaron Sin United States 9 940 1.3× 98 0.4× 225 1.3× 54 0.6× 15 0.3× 10 1.1k
Gabriele Gradl Germany 11 450 0.6× 244 0.9× 132 0.8× 15 0.2× 21 0.4× 14 598

Countries citing papers authored by Ramesh Utharala

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Utharala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramesh Utharala

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

All Works

9 of 9 papers shown
1.
Utharala, Ramesh, et al.. (2023). iSort enables automated complex microfluidic droplet sorting in an effort to democratize technology. Cell Reports Methods. 3(5). 100478–100478. 10 indexed citations
2.
Utharala, Ramesh, Anna Luise Grab, Vida Vafaizadeh, et al.. (2022). A microfluidic Braille valve platform for on-demand production, combinatorial screening and sorting of chemically distinct droplets. Nature Protocols. 17(12). 2920–2965. 16 indexed citations
3.
Szalai, Bence, Ramesh Utharala, Jonathan J. M. Landry, et al.. (2022). Combi-seq for multiplexed transcriptome-based profiling of drug combinations using deterministic barcoding in single-cell droplets. Nature Communications. 13(1). 4450–4450. 18 indexed citations
4.
Utharala, Ramesh, et al.. (2019). Microfluidics as an Enabling Technology for Personalized Cancer Therapy. Small. 16(9). e1904321–e1904321. 65 indexed citations
5.
Eduati, Federica, Ramesh Utharala, Dharanija Madhavan, et al.. (2018). A microfluidics platform for combinatorial drug screening on cancer biopsies. Nature Communications. 9(1). 2434–2434. 188 indexed citations
6.
Eduati, Federica, Ramesh Utharala, Dharanija Madhavan, et al.. (2018). Data and code for "A microfluidics platform for combinatorial drug screening on cancer biopsies". Figshare. 2 indexed citations
7.
Utharala, Ramesh, Qingzong Tseng, Eileen E. M. Furlong, & Christoph A. Merten. (2018). A Versatile, Low-Cost, Multiway Microfluidic Sorter for Droplets, Cells, and Embryos. Analytical Chemistry. 90(10). 5982–5988. 32 indexed citations
8.
Chaipan, Chawaree, et al.. (2016). Droplet-based microfluidics in drug discovery, transcriptomics and high-throughput molecular genetics. Lab on a Chip. 16(8). 1314–1331. 290 indexed citations
9.
Debs, Bachir El, Ramesh Utharala, Irina V. Balyasnikova, Andrew D. Griffiths, & Christoph A. Merten. (2012). Functional single-cell hybridoma screening using droplet-based microfluidics. Proceedings of the National Academy of Sciences. 109(29). 11570–11575. 217 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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