Hao Lv

713 citations
25 papers · 511 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Circular RNAs in diseases
    • Gut microbiota and health
    • ATP Synthase and ATPases Research
    • RNA modifications and cancer

Papers in

Hao Lv

24 papers receiving 501 citations

Peers

Hao Lv
Comparison fields: 5 of 93
  • Cancer Research 107
  • Molecular Biology 221
  • Immunology 51
  • Biochemistry 18
  • Pharmacology 21
Replace Zhengtian Li with:
Zhengtian Li China
Yuan Liang China
Tilo Wuensch Germany
Wenwen Cui China
Guangyi Zeng China
Xuemei Liu China
Samira Asghari Iran
Anna Han United States
Shuo Pan China
Darcy Holley United States
Hao Lv relative to Zhengtian Li China Zhengtian Li's profile →
Citations per field
00.5×2×3×3.8×
Zhengtian Li · 1×
Citations per year

Countries citing papers authored by Hao Lv

Since Specialization
Citations

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

Fields of papers citing papers by Hao Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201571
2 201761
3 201641
4 202135
5 201833
6 202032
7 201429
8 202129
9 202128
10 201526
11 202025
12 202222
13 202115
14 202012
15 201410
16 202510
17 20207
18 20247
19 20196
20 20234

About Hao Lv

Hao Lv is a scholar working on Cancer Research, Molecular Biology, Psychiatry and Mental health, Epidemiology and Immunology, having authored 25 papers that have together received 511 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Total Knee Arthroplasty Outcomes (2 papers), Cancer-related molecular mechanisms research (2 papers), Bone fractures and treatments (2 papers), RNA modifications and cancer (2 papers), Knee injuries and reconstruction techniques (2 papers), Migraine and Headache Studies (2 papers) and Ginger and Zingiberaceae research (1 paper). The work is most often cited by research in Cancer Research (107 citations), Molecular Biology (221 citations), Immunology (51 citations), Biochemistry (18 citations) and Pharmacology (21 citations). Hao Lv has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Na Dong, Chenyu Xue, Chongpeng Bi, Anshan Shan, Juehua Jing, Jun Li, Yunfeng Yao, Nan Zhu, Baoming Shi and Gang Xiong. Their work appears in journals such as Journal of the Science of Food and Agriculture, The Journal of Knee Surgery, Gene, Cancer Science and The Knee.

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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