Mo‐qi Lv

831 citations
28 papers · 617 · h-index 12

Impact in

    • Sperm and Testicular Function
    • Reproductive Health and Technologies
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Mo‐qi Lv

25 papers receiving 604 citations

Peers

Mo‐qi Lv
Comparison fields: 5 of 65
  • Reproductive Medicine 147
  • Cancer Research 223
  • Molecular Biology 316
  • Health, Toxicology and Mutagenesis 61
  • Public Health, Environmental and Occupational Health 92
Replace Long Cui with:
Long Cui China
Ettore Caroppo Italy
Tao Jing China
Clynn E. Wilker United States
Agnes Stefansdottir United Kingdom
Charles Belon France
Guoping He China
Kai Su China
Cecilia Catellani Italy
Annarita Ghosh Andersen Denmark
Mo‐qi Lv relative to Long Cui China Long Cui's profile →
Citations per field
00.5×2×3×4.2×
Long Cui · 1×
Citations per year

Countries citing papers authored by Mo‐qi Lv

Since Specialization
Citations

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

Fields of papers citing papers by Mo‐qi Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017219
2 201858
3 202152
4 201945
5 202033
6 201727
7 201524
8 201823
9 201517
10 202015
11 202213
12 202112
13 202112
14 202012
15 202211
16 20209
17 20219
18 20177
19 20225
20 20244

About Mo‐qi Lv

Mo‐qi Lv is a scholar working on Cancer Research, Reproductive Medicine, Health, Toxicology and Mutagenesis, Molecular Biology and Epidemiology, having authored 28 papers that have together received 617 indexed citations. Recurring topics across this work include Sperm and Testicular Function (5 papers), Circular RNAs in diseases (5 papers), Air Quality and Health Impacts (5 papers), MicroRNA in disease regulation (5 papers), Carcinogens and Genotoxicity Assessment (3 papers), Indoor Air Quality and Microbial Exposure (2 papers), Autophagy in Disease and Therapy (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). The work is most often cited by research in Reproductive Medicine (147 citations), Cancer Research (223 citations), Molecular Biology (316 citations), Health, Toxicology and Mutagenesis (61 citations) and Public Health, Environmental and Occupational Health (92 citations). Mo‐qi Lv has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Dang‐xia Zhou, Pan Ge, Qiuping Liu, Liang Zhou, Kejun Nan, Shuhong Zhao, Juntao Yao, Yixin Li, Yixin Li and Dang-xia Zhou. Their work appears in journals such as European Journal of Obstetrics & Gynecology and Reproductive Biology, Food and Chemical Toxicology, Toxicology and Industrial Health, Ecotoxicology and Environmental Safety and Reproductive Biology and Endocrinology.

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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