Victor Li

4.3k total citations · 1 hit paper
16 papers, 2.8k citations indexed

About

Victor Li is a scholar working on Molecular Biology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Victor Li has authored 16 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Biomedical Engineering and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Victor Li's work include Protein purification and stability (5 papers), CRISPR and Genetic Engineering (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Victor Li is often cited by papers focused on Protein purification and stability (5 papers), CRISPR and Genetic Engineering (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Victor Li collaborates with scholars based in United States, Israel and China. Victor Li's co-authors include Marc W. Kirschner, Allon M. Klein, Leonid Peshkin, Linas Mažutis, Naren Tallapragada, David A. Weitz, Adrian Veres, Ilke Akartuna, Andrea Ballabeni and Tiemin Huang and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Victor Li

16 papers receiving 2.7k citations

Hit Papers

Droplet Barcoding for Single-Cell Transcriptomics Applied... 2015 2026 2018 2022 2015 500 1000 1.5k 2.0k
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.

  1. Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells
    2015 2.3k citations Allon M. Klein, Linas Mažutis et al. Cell profile →

Peers

Victor Li
Naren Tallapragada United States
Angela Ruohao Wu Hong Kong
Kok Hao Chen United States
Juozas Nainys Lithuania
Raymond Cheong United States
Vasiliy S. Chernyshev Russia
Victor Neel United States
Jared E. Toettcher United States
Xinglong Wu China
Valentine Svensson United Kingdom
Naren Tallapragada United States
Victor Li
Citations per year, relative to Victor Li Victor Li (= 1×) peers Naren Tallapragada

Countries citing papers authored by Victor Li

Since Specialization
Citations

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

Fields of papers citing papers by Victor Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Li

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

All Works

16 of 16 papers shown
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Li, Victor & Yunlong Huang. (2024). Oligonucleotide therapeutics for neurodegenerative diseases. PubMed. 4(1). 1–11. 1 indexed citations
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Doud, Michael B., et al.. (2024). Competition-driven eco-evolutionary feedback reshapes bacteriophage lambda’s fitness landscape and enables speciation. Nature Communications. 15(1). 863–863. 5 indexed citations
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Zhang, Xiaoxi, et al.. (2022). Imaged capillary isoelectric focusing (icIEF) tandem high resolution mass spectrometry for charged heterogeneity of protein drugs in biopharmaceutical discovery. Journal of Pharmaceutical and Biomedical Analysis. 224. 115178–115178. 22 indexed citations
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Palmer, Nathan, D. T. Johnson, Sarah J. Medina, et al.. (2018). Destabilizing mutations encode nongenetic variation that drives evolutionary innovation. Science. 359(6383). 1542–1545. 35 indexed citations
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Briggs, James, Victor Li, Seungkyu Lee, et al.. (2017). Mouse embryonic stem cells can differentiate via multiple paths to the same state. eLife. 6. 59 indexed citations
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Klein, Allon M., Linas Mažutis, Ilke Akartuna, et al.. (2015). Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells. Cell. 161(5). 1187–1201. 2328 indexed citations breakdown →
13.
Li, Victor & Marc W. Kirschner. (2014). Molecular ties between the cell cycle and differentiation in embryonic stem cells. Proceedings of the National Academy of Sciences. 111(26). 9503–9508. 68 indexed citations
14.
Fukushima, Hidefumi, Kohei Ogura, Lixin Wan, et al.. (2013). SCF-Mediated Cdh1 Degradation Defines a Negative Feedback System that Coordinates Cell-Cycle Progression. Cell Reports. 4(4). 803–816. 59 indexed citations
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Sung, Yongjin, Amit Tzur, Seungeun Oh, et al.. (2013). Size homeostasis in adherent cells studied by synthetic phase microscopy. Proceedings of the National Academy of Sciences. 110(41). 16687–16692. 72 indexed citations
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Li, Victor, Andrea Ballabeni, & Marc W. Kirschner. (2012). Gap 1 phase length and mouse embryonic stem cell self-renewal. Proceedings of the National Academy of Sciences. 109(31). 12550–12555. 68 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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2026