Loïc Binan

1.3k total citations · 2 hit papers
17 papers, 802 citations indexed

About

Loïc Binan is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Loïc Binan has authored 17 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Biomedical Engineering and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Loïc Binan's work include Single-cell and spatial transcriptomics (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and CRISPR and Genetic Engineering (3 papers). Loïc Binan is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and CRISPR and Genetic Engineering (3 papers). Loïc Binan collaborates with scholars based in United States, Canada and Saudi Arabia. Loïc Binan's co-authors include Mario Jolicœur, Grégory De Crescenzo, Abdellah Ajji, Sangwon Park, Ali Khademhosseini, Mehdi Nikkhah, Yunqing Kang, Hojae Bae, Yunzhi Yang and Nasim Annabi and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Loïc Binan

16 papers receiving 793 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

GABA-receptive microglia selectively sculpt developing inhibitory circuits

2021 193 citations Emilia Favuzzi, Shuhan Huang et al. Cell profile →
Simultaneous CRISPR screening and spatial transcriptomics reveal intracellular, intercellular, and functional transcriptional circuits

2025 18 citations Loïc Binan, Aiping Jiang et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Loïc Binan United States	11	279	221	200	172	154	17	802
Mario Bitsche Austria	17	188 0.7×	248 1.1×	107 0.5×	138 0.8×	53 0.3×	32	914
Falei Yuan China	13	300 1.1×	463 2.1×	125 0.6×	154 0.9×	129 0.8×	20	1.1k
Dingyu Wu China	10	203 0.7×	122 0.6×	95 0.5×	152 0.9×	75 0.5×	16	614
Tobias Fuehrmann Canada	8	276 1.0×	289 1.3×	267 1.3×	331 1.9×	139 0.9×	8	1.0k
Ellen Bible United Kingdom	10	146 0.5×	355 1.6×	99 0.5×	242 1.4×	160 1.0×	24	1.1k
Liqing Song United States	19	391 1.4×	534 2.4×	147 0.7×	155 0.9×	105 0.7×	31	1.2k
Lina R. Nih United States	14	436 1.6×	407 1.8×	218 1.1×	301 1.8×	366 2.4×	20	1.4k
Yunqian Guan China	17	275 1.0×	443 2.0×	85 0.4×	143 0.8×	163 1.1×	45	1.0k
Pablo Avalos United States	17	206 0.7×	378 1.7×	88 0.4×	275 1.6×	68 0.4×	31	1.1k
José Miguel Soria Spain	20	152 0.5×	260 1.2×	88 0.4×	384 2.2×	168 1.1×	39	1.1k

Countries citing papers authored by Loïc Binan

Since Specialization

Citations

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

Fields of papers citing papers by Loïc Binan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loïc Binan

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

Binan, Loïc, Aiping Jiang, Vera Valakh, et al.. (2025). Simultaneous CRISPR screening and spatial transcriptomics reveal intracellular, intercellular, and functional transcriptional circuits. Cell. 188(8). 2141–2158.e18. 18 indexed citations breakdown →

Berryer, Martin H., Matthew Tegtmeyer, Loïc Binan, et al.. (2023). Robust induction of functional astrocytes using NGN2 expression in human pluripotent stem cells. iScience. 26(7). 106995–106995. 9 indexed citations

Annis, Matthew G., Alexander Kiepas, Loïc Binan, et al.. (2023). Migration speed of captured breast cancer subpopulations correlates with metastatic fitness. Journal of Cell Science. 136(13). 8 indexed citations

Binan, Loïc, et al.. (2023). Optimization-based decoding of Imaging Spatial Transcriptomics data. Bioinformatics. 39(6). 2 indexed citations

Yao, Douglas, Loïc Binan, Brooke Simonton, et al.. (2023). Scalable genetic screening for regulatory circuits using compressed Perturb-seq. Nature Biotechnology. 42(8). 1282–1295. 37 indexed citations

Stogsdill, Jeffrey A., Kwanho Kim, Loïc Binan, et al.. (2022). Pyramidal neuron subtype diversity governs microglia states in the neocortex. Nature. 608(7924). 750–756. 69 indexed citations

Favuzzi, Emilia, Shuhan Huang, Giuseppe-Antonio Saldi, et al.. (2021). GABA-receptive microglia selectively sculpt developing inhibitory circuits. Cell. 184(15). 4048–4063.e32. 193 indexed citations breakdown →

Nkwe, Nadine Sen, Salima Daou, Jessica K. Gagnon, et al.. (2020). A potent nuclear export mechanism imposes USP16 cytoplasmic localization during interphase. Journal of Cell Science. 133(4). 15 indexed citations

Binan, Loïc, et al.. (2020). Motility-Based Single-Cell Capture and Expansion from a Heterogeneous Cell Culture. Biophysical Journal. 118(3). 312a–312a.

10.

Binan, Loïc, François Bélanger, Jean‐François Lemay, et al.. (2019). Opto-magnetic capture of individual cells based on visual phenotypes. eLife. 8. 10 indexed citations

11.

Binan, Loïc, Elliot Drobetsky, & Santiago Costantino. (2019). Exploiting Molecular Barcodes in High-Throughput Cellular Assays. SLAS TECHNOLOGY. 24(3). 298–307. 6 indexed citations

12.

Binan, Loïc, et al.. (2019). Opto-magnetic Selection and Isolation of Single Cells. BIO-PROTOCOL. 9(22). e3428–e3428. 2 indexed citations

13.

Almasieh, Mohammadali, Maria‐Magdalena Catrinescu, Loïc Binan, Santiago Costantino, & Leonard A. Levin. (2017). Axonal Degeneration in Retinal Ganglion Cells Is Associated with a Membrane Polarity-Sensitive Redox Process. Journal of Neuroscience. 37(14). 3824–3839. 29 indexed citations

14.

Binan, Loïc, Javier Mazzaferri, Karine Choquet, et al.. (2016). Live single-cell laser tag. Nature Communications. 7(1). 11636–11636. 20 indexed citations

15.

Binan, Loïc, Abdellah Ajji, Grégory De Crescenzo, & Mario Jolicœur. (2013). Approaches for Neural Tissue Regeneration. Stem Cell Reviews and Reports. 10(1). 44–59. 46 indexed citations

16.

Binan, Loïc, et al.. (2013). Differentiation of neuronal stem cells into motor neurons using electrospun poly-l-lactic acid/gelatin scaffold. Biomaterials. 35(2). 664–674. 104 indexed citations

17.

Annabi, Nasim, Mehdi Nikkhah, Hojae Bae, et al.. (2012). Vascularized Bone Tissue Engineering: Approaches for Potential Improvement. Tissue Engineering Part B Reviews. 18(5). 363–382. 234 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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