Kara Brower

830 total citations
11 papers, 594 citations indexed

About

Kara Brower is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Kara Brower has authored 11 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Biomedical Engineering and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Kara Brower's work include Single-cell and spatial transcriptomics (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Chemical Synthesis and Analysis (2 papers). Kara Brower is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Chemical Synthesis and Analysis (2 papers). Kara Brower collaborates with scholars based in United States, Russia and United Kingdom. Kara Brower's co-authors include Polly M. Fordyce, Yao Lu, Rong Fan, Dana Pe’er, Qiong Xue, Kathryn Miller‐Jensen, Endah S. Sulistijo, Lin Han, Markus R. Eisele and El-ad David Amir and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Applied Physics Letters.

In The Last Decade

Kara Brower

11 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kara Brower United States	9	371	267	83	66	61	11	594
Adam K. White United States	10	425 1.1×	746 2.8×	137 1.7×	41 0.6×	63 1.0×	11	1.1k
Pooja Sabhachandani United States	13	201 0.5×	479 1.8×	72 0.9×	47 0.7×	131 2.1×	18	646
Shuvashis Dey Australia	14	425 1.1×	398 1.5×	67 0.8×	30 0.5×	56 0.9×	25	662
Mark M. Stevens United States	8	196 0.5×	188 0.7×	56 0.7×	19 0.3×	43 0.7×	12	442
Tiffany L. Halo United States	5	436 1.2×	156 0.6×	16 0.2×	107 1.6×	60 1.0×	5	603
Michael Junkin United States	13	258 0.7×	577 2.2×	73 0.9×	87 1.3×	167 2.7×	20	867
Е. С. Корнилова Russia	14	314 0.8×	95 0.4×	20 0.2×	87 1.3×	152 2.5×	69	707
Sviatlana Kalinina Germany	8	161 0.4×	168 0.6×	22 0.3×	23 0.3×	24 0.4×	24	463
Ryosuke Ueki Japan	14	578 1.6×	121 0.5×	63 0.8×	24 0.4×	31 0.5×	29	718
Mark Polinkovsky Australia	13	313 0.8×	207 0.8×	23 0.3×	31 0.5×	25 0.4×	15	627

Countries citing papers authored by Kara Brower

Since Specialization

Citations

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

Fields of papers citing papers by Kara Brower

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kara Brower

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

1.

Nguyen, Huy, Jagoree Roy, Naomi R. Latorraca, et al.. (2019). Quantitative mapping of protein-peptide affinity landscapes using spectrally encoded beads. eLife. 8. 45 indexed citations

2.

Mezger, Anja, Sandy Klemm, Ishminder K. Mann, et al.. (2018). High-throughput chromatin accessibility profiling at single-cell resolution. Nature Communications. 9(1). 3647–3647. 105 indexed citations

3.

Brower, Kara, Adam K. White, & Polly M. Fordyce. (2017). Multi-step Variable Height Photolithography for Valved Multilayer Microfluidic Devices. Journal of Visualized Experiments. 22 indexed citations

4.

Brower, Kara, Robert Puccinelli, Craig J. Markin, et al.. (2017). An open-source, programmable pneumatic setup for operation and automated control of single- and multi-layer microfluidic devices. HardwareX. 3. 117–134. 35 indexed citations

5.

Brower, Kara, Adam K. White, & Polly M. Fordyce. (2017). Multi-step Variable Height Photolithography for Valved Multilayer Microfluidic Devices. Journal of Visualized Experiments. 7 indexed citations

6.

Nguyen, Huy, et al.. (2017). Peptide library synthesis on spectrally encoded beads for multiplexed protein/peptide bioassays. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10061. 100610Z–100610Z. 5 indexed citations

7.

Nguyen, Huy, Kara Brower, Camilo Diaz-Botia, et al.. (2016). Programmable Microfluidic Synthesis of Over One Thousand Uniquely Identifiable Spectral Codes. Advanced Optical Materials. 5(3). 42 indexed citations

8.

Lu, Yao, Qiong Xue, Markus R. Eisele, et al.. (2015). Highly multiplexed profiling of single-cell effector functions reveals deep functional heterogeneity in response to pathogenic ligands. Proceedings of the National Academy of Sciences. 112(7). E607–15. 212 indexed citations

9.

Rajan, Nitin K., Kara Brower, Xuexin Duan, & Mark A. Reed. (2014). Limit of detection of field effect transistor biosensors: Effects of surface modification and size dependence. Applied Physics Letters. 104(8). 61 indexed citations

10.

Elitaş, Meltem, Kara Brower, Yao Lu, Jonathan J. Chen, & Rong Fan. (2014). A microchip platform for interrogating tumor–macrophage paracrine signaling at the single-cell level. Lab on a Chip. 14(18). 3582–3588. 48 indexed citations

11.

Kwak, Minsuk, Luye Mu, Yao Lu, et al.. (2013). Single-cell protein secretomic signatures as potential correlates to tumor cell lineage evolution and cell–cell interaction. Frontiers in Oncology. 3. 10–10. 12 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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