Mo Li

10.4k citations
162 papers · 4.8k · 2 hit papers · h-index 37

Impact in

  • Aging top 2%
    • CRISPR and Genetic Engineering
    • Pluripotent Stem Cells Research
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • Epigenetics and DNA Methylation
    • Renal and related cancers

Papers in

    • Pluripotent Stem Cells Research 31
    • CRISPR and Genetic Engineering 24
    • Epigenetics and DNA Methylation 17
    • Genomics and Chromatin Dynamics 11
    • RNA Research and Splicing 9
    • Advanced biosensing and bioanalysis techniques 9

Mo Li

158 papers receiving 4.8k citations

Mo Li's Hit Papers

Targeting KRAS: from metabolic regulation to cancer treatment 2025 · 29 citations
290+3+6Years since publication100200300400

Peers

Mo Li
Comparison fields: 5 of 152
  • Aging 101
  • Molecular Biology 3.1k
  • Business and International Management 72
  • Endocrinology 167
  • Developmental Neuroscience 119
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Mo Li relative to Jason Wright United States Jason Wright's profile →
Citations per field
00.5×2.6×
Jason Wright · 1×
Citations per year

Countries citing papers authored by Mo Li

Since Specialization
Citations

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

Fields of papers citing papers by Mo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mo Li, 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 Mo Li Line = papers co-authored together Mo Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Endosomal Escape and Delivery of CRISPR/Cas9 Genome Editing Machinery Enabled by Nanoscale Zeolitic Imidazolate Framework
Hit paper breakdown →
2017451
2 2015273
3 2019257
4 2011170
5 2016141
6 2013119
7 2021108
8 2017107
9 2013103
10 2018102
11 201096
12 201283
13 201474
14 201073
15 201672
16 201869
17 201669
18 201966
19 201762
20 201261

About Mo Li

Mo Li is a scholar working on Molecular Biology, Biomedical Engineering, Cell Biology, Public Health, Environmental and Occupational Health and Genetics, having authored 162 papers that have together received 4.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (31 papers), CRISPR and Genetic Engineering (24 papers), Epigenetics and DNA Methylation (17 papers), Genomics and Chromatin Dynamics (11 papers), Microtubule and mitosis dynamics (11 papers), Reproductive Biology and Fertility (10 papers), RNA Research and Splicing (9 papers) and Advanced biosensing and bioanalysis techniques (9 papers). The work is most often cited by research in Aging (101 citations), Molecular Biology (3.1k citations), Business and International Management (72 citations), Endocrinology (167 citations) and Developmental Neuroscience (119 citations). Mo Li has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Juan Carlos Izpisúa Belmonte, Guang‐Hui Liu, Keiichiro Suzuki, Jasmeen S. Merzaban, Fajr A. Aleisa, Mram Alyami, Sachin Patil, Niveen M. Khashab, Shahad K. Alsaiari and Kholod Alamoudi. Their work appears in journals such as Cell Cycle, Scientific Reports, Cell Research, Frontiers in Cell and Developmental Biology and Protein & Cell.

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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