Elly Sinkala

696 total citations
10 papers, 544 citations indexed

About

Elly Sinkala is a scholar working on Biomedical Engineering, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Elly Sinkala has authored 10 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 4 papers in Molecular Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Elly Sinkala's work include Microfluidic and Bio-sensing Technologies (4 papers), 3D Printing in Biomedical Research (4 papers) and Microfluidic and Capillary Electrophoresis Applications (4 papers). Elly Sinkala is often cited by papers focused on Microfluidic and Bio-sensing Technologies (4 papers), 3D Printing in Biomedical Research (4 papers) and Microfluidic and Capillary Electrophoresis Applications (4 papers). Elly Sinkala collaborates with scholars based in United States and Austria. Elly Sinkala's co-authors include David Eddington, Amy E. Herr, Kevin A. Yamauchi, Julea Vlassakis, Todd A. Duncombe, Joe F. Lo, Chi‐Chih Kang, Elodie Sollier‐Christen, Haiyan Huang and Stefanie S. Jeffrey and has published in prestigious journals such as Nature Communications, Nature Protocols and Lab on a Chip.

In The Last Decade

Elly Sinkala

10 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elly Sinkala United States	8	296	236	108	106	42	10	544
Xiaofu Weng China	9	175 0.6×	179 0.8×	48 0.4×	80 0.8×	41 1.0×	13	484
Kristopher Carver United States	7	465 1.6×	216 0.9×	42 0.4×	117 1.1×	55 1.3×	7	791
Michael Junkin United States	13	577 1.9×	258 1.1×	73 0.7×	167 1.6×	52 1.2×	20	867
Ashwath Jayagopal United States	18	236 0.8×	496 2.1×	117 1.1×	36 0.3×	38 0.9×	38	871
Kara Brower United States	9	267 0.9×	371 1.6×	47 0.4×	61 0.6×	7 0.2×	11	594
Chien‐Chung Peng Taiwan	12	754 2.5×	161 0.7×	77 0.7×	179 1.7×	37 0.9×	25	892
Joyce W. Kamande United States	10	401 1.4×	162 0.7×	117 1.1×	249 2.3×	29 0.7×	11	606
Julea Vlassakis United States	10	224 0.8×	293 1.2×	88 0.8×	96 0.9×	6 0.1×	12	480
Anja Stelzl Germany	8	131 0.4×	158 0.7×	52 0.5×	45 0.4×	17 0.4×	8	364
Carsten Schulte Italy	18	192 0.6×	243 1.0×	42 0.4×	33 0.3×	138 3.3×	27	754

Countries citing papers authored by Elly Sinkala

Since Specialization

Citations

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

Fields of papers citing papers by Elly Sinkala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elly Sinkala

This figure shows the co-authorship network connecting the top 25 collaborators of Elly Sinkala. A scholar is included among the top collaborators of Elly Sinkala 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 Elly Sinkala. Elly Sinkala 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

1.

Dhiman, Heena, et al.. (2023). Single-cell RNA sequencing reveals homogeneous transcriptome patterns and low variance in a suspension CHO-K1 and an adherent HEK293FT cell line in culture conditions. Journal of Biotechnology. 364. 13–22. 9 indexed citations

2.

Sinkala, Elly, et al.. (2018). Single-cell mobility shift electrophoresis reports protein localization to the cell membrane. The Analyst. 144(3). 972–979. 6 indexed citations

3.

Sinkala, Elly, Elodie Sollier‐Christen, Corinne Renier, et al.. (2017). Profiling protein expression in circulating tumour cells using microfluidic western blotting. Nature Communications. 8(1). 14622–14622. 207 indexed citations

4.

Kim, John J., Elly Sinkala, & Amy E. Herr. (2017). High-selectivity cytology via lab-on-a-disc western blotting of individual cells. Lab on a Chip. 17(5). 855–863. 15 indexed citations

5.

Kang, Chi‐Chih, Kevin A. Yamauchi, Julea Vlassakis, et al.. (2016). Single cell–resolution western blotting. Nature Protocols. 11(8). 1508–1530. 134 indexed citations

6.

Sinkala, Elly & Amy E. Herr. (2015). Single-Cell Western Blotting. Methods in molecular biology. 1346. 1–9. 8 indexed citations

7.

Sinkala, Elly, et al.. (2012). Electrode calibration with a microfluidic flow cell for fast-scan cyclic voltammetry. Lab on a Chip. 12(13). 2403–2403. 40 indexed citations

8.

Sinkala, Elly & David Eddington. (2010). Oxygen sensitive microwells. Lab on a Chip. 10(23). 3291–3291. 24 indexed citations

9.

Lo, Joe F., Elly Sinkala, & David Eddington. (2010). Oxygen gradients for open well cellular cultures via microfluidic substrates. Lab on a Chip. 10(18). 2394–2394. 100 indexed citations

10.

Sinkala, Elly, et al.. (2010). Fabrication and Operation of an Oxygen Insert for Adherent Cellular Cultures. Journal of Visualized Experiments. 1 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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