Brian Li

504 total citations
17 papers, 386 citations indexed

About

Brian Li is a scholar working on Molecular Biology, Biomedical Engineering and Cell Biology. According to data from OpenAlex, Brian Li has authored 17 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Biomedical Engineering and 3 papers in Cell Biology. Recurrent topics in Brian Li's work include Microfluidic and Bio-sensing Technologies (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Mitochondrial Function and Pathology (2 papers). Brian Li is often cited by papers focused on Microfluidic and Bio-sensing Technologies (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Mitochondrial Function and Pathology (2 papers). Brian Li collaborates with scholars based in United States, Canada and China. Brian Li's co-authors include Steven Crossley, Clint P. Aichele, Nicholas M. Briggs, Lydia L. Sohn, Jeanne C. Stachowiak, David J. Busch, Jeffrey H. Harwell, Deepika Venkataramani, Lawrence Barrett and Avinash K. Gadok and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Nature Methods.

In The Last Decade

Brian Li

14 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Li United States	10	164	120	111	60	45	17	386
Kathleen D. Cao United States	8	178 1.1×	139 1.2×	55 0.5×	106 1.8×	54 1.2×	18	428
Yuki Fukuda Japan	11	110 0.7×	88 0.7×	178 1.6×	43 0.7×	10 0.2×	22	537
Yifan Zhao China	11	140 0.9×	240 2.0×	49 0.4×	16 0.3×	19 0.4×	42	545
Yijia Zhang China	9	57 0.3×	123 1.0×	98 0.9×	27 0.5×	19 0.4×	20	403
Kevin B. Vargo United States	9	181 1.1×	63 0.5×	121 1.1×	50 0.8×	37 0.8×	12	426
Michael A. Thompson United Kingdom	7	209 1.3×	267 2.2×	197 1.8×	51 0.8×	27 0.6×	8	616
Nisha Pawar India	11	87 0.5×	89 0.7×	80 0.7×	52 0.9×	37 0.8×	27	367
Zhu Sun China	9	27 0.2×	205 1.7×	135 1.2×	67 1.1×	131 2.9×	10	392
Yuki Fujiwara Japan	10	131 0.8×	67 0.6×	45 0.4×	36 0.6×	5 0.1×	33	356
Saeed Najafi United States	10	256 1.6×	70 0.6×	52 0.5×	42 0.7×	21 0.5×	23	537

Countries citing papers authored by Brian Li

Since Specialization

Citations

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

Fields of papers citing papers by Brian Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Li

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

All Works

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17 of 17 papers shown

Wang, Cui, et al.. (2025). LINC00665/miR–132–5p Reduces Inflammation in Epileptic Cells by Targeting MAPK3. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 198(6). 38–45.

Ren, Jingyi, Haowen Zhou, Hu Zeng, et al.. (2023). Spatiotemporally resolved transcriptomics reveals the subcellular RNA kinetic landscape. Nature Methods. 20(5). 695–705. 37 indexed citations

Li, Brian, et al.. (2022). Mechanical phenotyping reveals unique biomechanical responses in retinoic acid-resistant acute promyelocytic leukemia. iScience. 25(2). 103772–103772. 5 indexed citations

Li, Brian, et al.. (2022). Node-Pore Sensing for Characterizing Cells and Extracellular Vesicles. Methods in molecular biology. 2394. 171–183.

Li, Brian, et al.. (2021). Evaluating sources of technical variability in the mechano-node-pore sensing pipeline and their effect on the reproducibility of single-cell mechanical phenotyping. PLoS ONE. 16(10). e0258982–e0258982.

Li, Brian, et al.. (2021). Emerging methods for and novel insights gained by absolute quantification of mitochondrial DNA copy number and its clinical applications. Pharmacology & Therapeutics. 232. 107995–107995. 13 indexed citations

Kozminsky, Molly, et al.. (2021). Multiplexed DNA-Directed Patterning of Antibodies for Applications in Cell Subpopulation Analysis. ACS Applied Materials & Interfaces. 13(39). 46421–46430. 5 indexed citations

Kim, Jung-Hyun, et al.. (2019). Visco-Node-Pore Sensing: A Microfluidic Rheology Platform to Characterize Viscoelastic Properties of Epithelial Cells. iScience. 13. 214–228. 16 indexed citations

Chen, Celia, et al.. (2019). Assessing Software Understandability in Systems by Leveraging Fuzzy Method and Linguistic Analysis. Procedia Computer Science. 153. 17–26. 3 indexed citations

10.

Li, Brian, et al.. (2018). Droplet digital PCR shows the D-Loop to be an error prone locus for mitochondrial DNA copy number determination. Scientific Reports. 8(1). 11392–11392. 15 indexed citations

11.

Li, Brian, et al.. (2018). Developments in label‐free microfluidic methods for single‐cell analysis and sorting. Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology. 11(1). e1529–e1529. 52 indexed citations

12.

Li, Brian, et al.. (2018). MEG3 long non-coding RNA prevents cell growth and metastasis of osteosarcoma. Bratislavské lekárske listy/Bratislava medical journal. 118(10). 632–636. 28 indexed citations

13.

Briggs, Nicholas M., et al.. (2017). Stable pickering emulsions using multi-walled carbon nanotubes of varying wettability. Colloids and Surfaces A Physicochemical and Engineering Aspects. 537. 227–235. 74 indexed citations

14.

Houser, Justin R., David J. Busch, David R. Bell, et al.. (2016). The impact of physiological crowding on the diffusivity of membrane bound proteins. Soft Matter. 12(7). 2127–2134. 30 indexed citations

15.

Gadok, Avinash K., David J. Busch, Silvia Ferrati, et al.. (2016). Connectosomes for Direct Molecular Delivery to the Cellular Cytoplasm. Journal of the American Chemical Society. 138(39). 12833–12840. 38 indexed citations

16.

Briggs, Nicholas M., Brian Li, Deepika Venkataramani, et al.. (2015). Multiwalled Carbon Nanotubes at the Interface of Pickering Emulsions. Langmuir. 31(48). 13077–13084. 67 indexed citations

17.

Hallett, Robin, et al.. (2015). Identification and evaluation of network modules for the prognosis of basal-like breast cancer. Oncotarget. 6(19). 17713–17724. 3 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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