Freeman Lan

11 papers receiving 1.5k citations

Freeman Lan's Hit Papers

Nanoparticle delivery of Cas9 ribonucleoprotein and donor DNA in vivo induces homology-directed DNA repair 2017 · 654 citations
6540+3+6Years since publication200400600

Peers

Freeman Lan
Comparison fields: 5 of 100
  • Business and International Management 53
  • Aging 31
  • Molecular Biology 1.0k
  • Biomedical Engineering 454
  • Genetics 198
Replace Meng How Tan with:
Meng How Tan Singapore
Qi Pan China
Piyush Kumar Jain United States
Tom Ferrante United States
Muhammad Tehseen Saudi Arabia
Denitsa Milanova United States
Seung‐Joo Lee United States
Brandon G. Wong United States
Freeman Lan relative to Meng How Tan Singapore Meng How Tan's profile →
Citations per field
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Meng How Tan · 1×
Citations per year

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-authors

The 15 scholars most cited alongside Freeman Lan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Freeman Lan Line = papers co-authored together Freeman Lan links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Nanoparticle delivery of Cas9 ribonucleoprotein and donor DNA in vivo induces homology-directed DNA repair
Hit paper breakdown →
2017654
2 2017356
3 2022110
4 201586
5 201680
6 201373
7 202147
8 202426
9 201823
10 202318
11 20187

About Freeman Lan

Freeman Lan is a scholar working on Cancer Research, Biomedical Engineering, Molecular Biology, Information Systems and Management and Ecology, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (7 papers), Single-cell and spatial transcriptomics (5 papers), Cancer Genomics and Diagnostics (3 papers), Gut microbiota and health (3 papers), Genomics and Phylogenetic Studies (2 papers), Microbial Community Ecology and Physiology (2 papers), Evolution and Genetic Dynamics (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Business and International Management (53 citations), Aging (31 citations), Molecular Biology (1.0k citations), Biomedical Engineering (454 citations) and Genetics (198 citations). Freeman Lan has collaborated with scholars based in United States and Japan. Frequent co-authors include Adam R. Abate, Benjamin Demaree, Noorsher Ahmed, Ophelia S. Venturelli, Yili Qian, John R. Haliburton, Tuan M. Tran, Karthik Anantharaman, Zhichao Zhou and Joshua J. Hamilton. Their work appears in journals such as Journal of Visualized Experiments, Cell Host & Microbe, Nature Biotechnology, Science Advances and Nucleic Acids Research.

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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