Xiaoting Lv

1.0k citations
53 papers · 764 · h-index 17

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Toxicology top 5%
    • Bioactive Compounds and Antitumor Agents

Papers in

    • RNA Research and Splicing 10
    • RNA modifications and cancer 10
    • Circular RNAs in diseases 6
    • Inflammasome and immune disorders 5
    • Mitochondrial Function and Pathology 4
    • Cancer-related molecular mechanisms research 15
    • MicroRNA in disease regulation 4

Xiaoting Lv

52 papers receiving 757 citations

Peers

Xiaoting Lv
Comparison fields: 5 of 94
  • Cancer Research 281
  • Toxicology 38
  • Molecular Biology 501
  • Internal Medicine 15
  • Immunology 70
Replace Wei You with:
Wei You China
Jijun Liu China
Tiankui Qiao China
Steffen Frese Switzerland
Atena Soleimani Iran
Junjie Yang China
Jiuxin Zhu China
Xiaoting Lv relative to Wei You China Wei You's profile →
Citations per field
00.5×2.5×
Wei You · 1×
Citations per year

Countries citing papers authored by Xiaoting Lv

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201477
2 202253
3 201846
4 201938
5 201533
6 202133
7 201829
8 201628
9 202027
10 201826
11 201626
12 201825
13 201920
14 201819
15 201819
16 201917
17 201816
18 202115
19 202215
20 201515

About Xiaoting Lv

Xiaoting Lv is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Immunology, having authored 53 papers that have together received 764 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (15 papers), RNA Research and Splicing (10 papers), RNA modifications and cancer (10 papers), Circular RNAs in diseases (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Inflammasome and immune disorders (5 papers), Mitochondrial Function and Pathology (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (281 citations), Toxicology (38 citations), Molecular Biology (501 citations), Internal Medicine (15 citations) and Immunology (70 citations). Xiaoting Lv has collaborated with scholars based in China, United States and India. Frequent co-authors include Baosen Zhou, Zhihua Yin, Qicai Liu, Zhigang Cui, Zhong-Hai Zhou, Junquan Liu, Juan Li, Min Gao, Fuxing Chen and Shengli Wang. Their work appears in journals such as International Immunopharmacology, DNA and Cell Biology, Oxidative Medicine and Cellular Longevity, Respiratory Physiology & Neurobiology and Cancer Management and Research.

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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