Liting Lv

633 citations
31 papers · 499 · h-index 15

Impact in

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

Papers in

    • RNA modifications and cancer 7
    • Cancer-related gene regulation 4
    • RNA Research and Splicing 3
    • Cancer-related Molecular Pathways 4

Liting Lv

30 papers receiving 494 citations

Peers

Liting Lv
Comparison fields: 5 of 77
  • Cancer Research 132
  • Molecular Biology 281
  • Oncology 77
  • Immunology 50
  • Cell Biology 38
Replace Hongwei Luo with:
Hongwei Luo China
M. Ángeles Villaronga Spain
Datong Zheng China
Manabu Iyoda Japan
Sung‐Wei Lee Taiwan
Chuang Lin China
Olga María Bermúdez France
Anders P. Mutvei Sweden
Kaushal Asrani United States
Yong Gu China
Liting Lv relative to Hongwei Luo China Hongwei Luo's profile →
Citations per field
00.5×1.7×
Hongwei Luo · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201352
2 201740
3 201337
4 201534
5 201330
6 201327
7 202126
8 201326
9 201424
10 201923
11 201419
12 201917
13 201316
14 202016
15 201315
16 201413
17 202312
18 201412
19 202411
20 201410

About Liting Lv

Liting Lv is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 31 papers that have together received 499 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 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), Cancer, Hypoxia, and Metabolism (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (132 citations), Molecular Biology (281 citations), Oncology (77 citations), Immunology (50 citations) and Cell Biology (38 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, Yiqun Zhou and Yanhua Liu. Their work appears in journals such as Journal of Molecular Histology, Journal of Cancer Research and Clinical Oncology, Pathology & Oncology Research, Frontiers in Genetics and Frontiers in Psychology.

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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