Liting Lv

621 citations
30 papers · 483 · h-index 15

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • Circular RNAs in diseases
    • Cancer-related gene regulation

Papers in

    • RNA modifications and cancer 8
    • Cancer-related gene regulation 4
    • RNA Research and Splicing 3
    • Cancer-related Molecular Pathways 4
    • Lung Cancer Research Studies 3

Liting Lv

30 papers receiving 480 citations

Peers

Liting Lv
Comparison fields: 5 of 78
  • Cancer Research 152
  • Molecular Biology 320
  • Oncology 100
  • Cell Biology 46
  • Immunology 54
Replace Yong Gao with:
Yong Gao China
Yong Gu China
Manabu Iyoda Japan
Yong‐Jian Deng China
Sung‐Wei Lee Taiwan
Chuang Lin China
Kaushal Asrani United States
Qiu-Wan Wu China
Jiadong Chi China
M. Ángeles Villaronga Spain
Liting Lv relative to Yong Gao China Yong Gao's profile →
Citations per field
00.5×1.6×
Yong Gao · 1×
Citations per year

Countries citing papers authored by Liting Lv

Since Specialization
Citations

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

Fields of papers citing papers by Liting Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201352
2 201739
3 201336
4 201534
5 201330
6 201326
7 201326
8 201424
9 201923
10 202122
11 201419
12 201316
13 201315
14 202015
15 201915
16 201412
17 201412
18 202312
19 201410
20 202410

About Liting Lv

Liting Lv is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Immunology, having authored 30 papers that have together received 483 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Lung Cancer Treatments and Mutations (5 papers), Cancer-related Molecular Pathways (4 papers), Cancer-related gene regulation (4 papers), RNA Research and Splicing (3 papers), Cancer-related molecular mechanisms research (3 papers), Lung Cancer Research Studies (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Cancer Research (152 citations), Molecular Biology (320 citations), Oncology (100 citations), Cell Biology (46 citations) and Immunology (54 citations). Liting Lv has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Runzhou Ni, Qun Xue, Buyou Chen, Guoxin Mao, Tingting Ni, Chunhua Wan, Yifei Liu, Guinv Hu, Cong Xia and Yiqun Zhou. Their work appears in journals such as Pathology & Oncology Research, Journal of Cancer Research and Clinical Oncology, Journal of Molecular Histology, Scientific Reports and Journal of Cellular Biochemistry.

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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