Mo‐qi Lv

781 citations
26 papers · 565 · h-index 11

Impact in

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

Papers in

Mo‐qi Lv

25 papers receiving 556 citations

Peers

Mo‐qi Lv
Comparison fields: 5 of 64
  • Cancer Research 289
  • Reproductive Medicine 139
  • Health, Toxicology and Mutagenesis 72
  • Molecular Biology 351
  • Public Health, Environmental and Occupational Health 106
Replace Dang‐xia Zhou with:
Dang‐xia Zhou China
Emad Babakhanzadeh Iran
Xiangfeng Chen China
Shanyan Xue United States
Long Cui China
Wei Le China
Paul Gassner Australia
I. Kim Mahood United Kingdom
Jill A. Madden United States
Erlei Zhi China
Mo‐qi Lv relative to Dang‐xia Zhou China Dang‐xia Zhou's profile →
Citations per field
00.5×1.5×
Dang‐xia Zhou · 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017218
2 201848
3 202148
4 201944
5 202029
6 201724
7 201821
8 201520
9 201516
10 202016
11 202110
12 202010
13 20229
14 20219
15 20229
16 20218
17 20207
18 20176
19 20234
20 20224

About Mo‐qi Lv

Mo‐qi Lv is a scholar working on Molecular Biology, Cancer Research, Health, Toxicology and Mutagenesis, Reproductive Medicine and Genetics, having authored 26 papers that have together received 565 indexed citations. Recurring topics across this work include Circular RNAs in diseases (8 papers), MicroRNA in disease regulation (7 papers), Air Quality and Health Impacts (7 papers), Sperm and Testicular Function (5 papers), Reproductive Health and Technologies (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Indoor Air Quality and Microbial Exposure (2 papers) and Pesticide Exposure and Toxicity (2 papers). The work is most often cited by research in Cancer Research (289 citations), Reproductive Medicine (139 citations), Health, Toxicology and Mutagenesis (72 citations), Molecular Biology (351 citations) and Public Health, Environmental and Occupational Health (106 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, Shuhong Zhao, Kejun Nan, Yixin Li, Yixin Li, Dang-xia Zhou and Jian Zhang. Their work appears in journals such as European Journal of Obstetrics & Gynecology and Reproductive Biology, Toxicology and Industrial Health, Food and Chemical Toxicology, Andrology and Inhalation Toxicology.

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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