Mo Zhou

3.2k citations
106 papers · 2.6k · 1 hit paper · h-index 26

Impact in

Papers in

Mo Zhou

99 papers receiving 2.5k citations

Mo Zhou's Hit Papers

Chitosan Derivatives and Their Application in Biomedicine 2020 · 833 citations
8330+2+4Years since publication250500750

Peers

Mo Zhou
Comparison fields: 5 of 87
  • Parasitology 461
  • Pharmaceutical Science 130
  • Biomaterials 200
  • Rheumatology 180
  • Molecular Medicine 64
Replace Takeshi Mikami with:
Takeshi Mikami Japan
Alfredo Miranda Goes Brazil
Taiki Aoshi Japan
Kayhan Azadmanesh Iran
Monika Hilbe Switzerland
Mahdi Fasihi‐Ramandi Iran
Etsushi Kuroda Japan
Didier Betbeder France
Jacob Golenser Israel
Saurabh Dixit United States
Mo Zhou relative to Takeshi Mikami Japan Takeshi Mikami's profile →
Citations per field
00.5×2×4×6×8×9.1×
Takeshi Mikami · 1×
Citations per year

Countries citing papers authored by Mo Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Mo Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Chitosan Derivatives and Their Application in Biomedicine
Hit paper breakdown →
2020833
2 201385
3 201575
4 201969
5 201668
6 202164
7 201954
8 201551
9 201646
10 201645
11 201343
12 202140
13 201239
14 201639
15 202138
16 201437
17 201236
18 201531
19
GC Glu416Asp and Thr420Lys polymorphisms contribute to gastrointestinal cancer susceptibility in a Chinese population.
201229
20 201429

About Mo Zhou

Mo Zhou is a scholar working on Parasitology, Rheumatology, Animal Science and Zoology, Virology and Epidemiology, having authored 106 papers that have together received 2.6k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (20 papers), Systemic Lupus Erythematosus Research (11 papers), Animal Virus Infections Studies (6 papers), Trypanosoma species research and implications (5 papers), HIV Research and Treatment (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), CAR-T cell therapy research (3 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Parasitology (461 citations), Pharmaceutical Science (130 citations), Biomaterials (200 citations), Rheumatology (180 citations) and Molecular Medicine (64 citations). Mo Zhou has collaborated with scholars based in China, Japan and Türkiye. Frequent co-authors include Zheng Jin, Kai Zhao, Wenqian Wang, Qi Li, Jinbao Liu, Shinuo Cao, Xuenan Xuan, Dong‐Qing Ye, Paul Franck Adjou Moumouni and Hai‐Feng Pan. Their work appears in journals such as Veterinary Sciences, Ticks and Tick-borne Diseases, Veterinary Parasitology, Frontiers in Cellular and Infection Microbiology and Experimental Parasitology.

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