Freeman Lan

1.8k total citations · 1 hit paper
11 papers, 747 citations indexed

About

Freeman Lan is a scholar working on Molecular Biology, Biomedical Engineering and Cancer Research. According to data from OpenAlex, Freeman Lan has authored 11 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Biomedical Engineering and 3 papers in Cancer Research. Recurrent topics in Freeman Lan's work include Innovative Microfluidic and Catalytic Techniques Innovation (7 papers), Single-cell and spatial transcriptomics (5 papers) and Cancer Genomics and Diagnostics (3 papers). Freeman Lan is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (7 papers), Single-cell and spatial transcriptomics (5 papers) and Cancer Genomics and Diagnostics (3 papers). Freeman Lan collaborates with scholars based in United States and China. Freeman Lan's co-authors include Adam R. Abate, Benjamin Demaree, Noorsher Ahmed, Ophelia S. Venturelli, Yili Qian, John Haliburton, Tuan M. Tran, Zhichao Zhou, Karthik Anantharaman and Eugenio I. Vivas and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Biotechnology.

In The Last Decade

Freeman Lan

11 papers receiving 737 citations

Hit Papers

Single-cell genome sequencing at ultra-high-throughput wi... 2017 2026 2020 2023 2017 100 200 300
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. Single-cell genome sequencing at ultra-high-throughput with microfluidic droplet barcoding
    2017 332 citations Freeman Lan, Benjamin Demaree et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Freeman Lan United States 9 393 386 135 90 80 11 747
Florian Millot France 6 140 0.4× 300 0.8× 128 0.9× 90 1.0× 87 1.1× 8 647
Yohei Nishikawa Japan 11 342 0.9× 157 0.4× 51 0.4× 171 1.9× 31 0.4× 25 512
Mira Guo United States 3 235 0.6× 771 2.0× 408 3.0× 93 1.0× 11 0.1× 3 1.0k
Margaret M. Kiss United States 9 168 0.4× 238 0.6× 98 0.7× 20 0.2× 17 0.2× 11 396
Yanan Bai China 12 400 1.0× 189 0.5× 21 0.2× 25 0.3× 141 1.8× 27 578
Gi Won Shin South Korea 16 253 0.6× 179 0.5× 61 0.5× 67 0.7× 40 0.5× 45 519
Yuan Cao China 15 396 1.0× 155 0.4× 20 0.1× 32 0.4× 34 0.4× 40 800
Richard J. S. Baerends Netherlands 19 1.1k 2.7× 114 0.3× 36 0.3× 56 0.6× 32 0.4× 25 1.2k
Franziska Pfeiffer Germany 8 501 1.3× 138 0.4× 33 0.2× 54 0.6× 33 0.4× 12 599

Countries citing papers authored by Freeman Lan

Since Specialization
Citations

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

Fields of papers citing papers by Freeman Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Freeman Lan

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

All Works

11 of 11 papers shown
1.
2.
Lan, Freeman, et al.. (2024). Massively parallel single-cell sequencing of diverse microbial populations. Nature Methods. 21(2). 228–235. 20 indexed citations
3.
4.
Feng, Jun, Yili Qian, Zhichao Zhou, et al.. (2022). Polysaccharide utilization loci in Bacteroides determine population fitness and community-level interactions. Cell Host & Microbe. 30(2). 200–215.e12. 81 indexed citations
5.
Qian, Yili, Freeman Lan, & Ophelia S. Venturelli. (2021). Towards a deeper understanding of microbial communities: integrating experimental data with dynamic models. Current Opinion in Microbiology. 62. 84–92. 42 indexed citations
6.
Demaree, Benjamin, Daniel W. Weisgerber, Freeman Lan, & Adam R. Abate. (2018). An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing. Journal of Visualized Experiments. 23 indexed citations
7.
Demaree, Benjamin, et al.. (2018). An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing. Journal of Visualized Experiments. 7 indexed citations
8.
Lan, Freeman, Benjamin Demaree, Noorsher Ahmed, & Adam R. Abate. (2017). Single-cell genome sequencing at ultra-high-throughput with microfluidic droplet barcoding. Nature Biotechnology. 35(7). 640–646. 332 indexed citations breakdown →
9.
Lan, Freeman, et al.. (2016). Droplet barcoding for massively parallel single-molecule deep sequencing. Nature Communications. 7(1). 11784–11784. 74 indexed citations
10.
Lan, Freeman, et al.. (2015). Enhanced sequencing coverage with digital droplet multiple displacement amplification. Nucleic Acids Research. 44(7). e66–e66. 80 indexed citations
11.
Tran, Tuan M., et al.. (2013). From tubes to drops: droplet-based microfluidics for ultrahigh-throughput biology. Journal of Physics D Applied Physics. 46(11). 114004–114004. 73 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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