Mo Li

4.3k citations
133 papers · 3.2k · 3 hit papers · h-index 25

Impact in

Papers in

Mo Li

127 papers receiving 3.1k citations

Mo Li's Hit Papers

Global Prevalence of Overactive Bladder: A Systematic Review and Meta-analysis 2025 · 23 citations
230+2+4Years since publication200400600

Peers

Mo Li
Comparison fields: 5 of 138
  • Pharmaceutical Science 573
  • Pharmacology 377
  • Drug Discovery 7
  • Genetics 430
  • Biomaterials 148
Replace Xinwen Wang with:
Xinwen Wang United States
Yazen Alnouti United States
Sameh Saber Egypt
Daryl J. Murry United States
Eun‐Hee Kim South Korea
Martin Brunner Austria
Markus Müller Austria
Raimundo Fernandes de Araújo Júnior Brazil
Micheline Piquette‐Miller Canada
Hitoshi Sato Japan
Mo Li relative to Xinwen Wang United States Xinwen Wang's profile →
Citations per field
00.5×2×3.5×
Xinwen Wang · 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 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cytochrome P450 Enzymes and Drug Metabolism in Humans
Hit paper breakdown →
2021720
2
A statistical framework for cross-tissue transcriptome-wide association analysis
Hit paper breakdown →
2019273
3 2013263
4 2019108
5 201381
6 200973
7 201369
8 202465
9 201761
10 201748
11 201742
12 202137
13 201536
14 202336
15 201735
16 201935
17 202233
18 202332
19 202031
20 202230

About Mo Li

Mo Li is a scholar working on Pharmaceutical Science, Pharmacology, Psychiatry and Mental health, Genetics and Molecular Biology, having authored 133 papers that have together received 3.2k indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (23 papers), Schizophrenia research and treatment (13 papers), Pharmacogenetics and Drug Metabolism (9 papers), Genetic Associations and Epidemiology (7 papers), Advanced Drug Delivery Systems (5 papers), Lung Cancer Treatments and Mutations (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Pharmaceutical Science (573 citations), Pharmacology (377 citations), Drug Discovery (7 citations), Genetics (430 citations) and Biomaterials (148 citations). Mo Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaochun Yu, Shengying Qin, Lu Shen, Lin He, Cong Huai, Zhonggui He, Na Zhang, Mingzhe Zhao, Bixuan Jiang and Yingtian Zhang. Their work appears in journals such as International Journal of Pharmaceutics, Frontiers in Pharmacology, Powder Technology, Colloids and Surfaces B Biointerfaces and Frontiers in Oncology.

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.

Explore authors with similar magnitude of impact