Ying Lv

3.1k citations
4 papers · 81 · h-index 3

Impact in

    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • DNA Repair Mechanisms
    • RNA Research and Splicing
    • Ubiquitin and proteasome pathways

Papers in

    • RNA modifications and cancer 2
    • Epigenetics and DNA Methylation 2
    • Renal and related cancers 1
    • Muscle Physiology and Disorders 1
    • Pharmaceutical and Antibiotic Environmental Impacts 1

Ying Lv

4 papers receiving 81 citations

Peers

Ying Lv
Comparison fields: 5 of 28
  • Aging 2
  • Molecular Biology 67
  • Cancer Research 11
  • Cellular and Molecular Neuroscience 8
  • Parasitology 2
Replace Ariel DH Gewirtz with:
Ariel DH Gewirtz United States
Anna Maria Lucianò Italy
Lennart Brandenburg United Kingdom
Alexandre C. Pereira Brazil
Brynja D. Sigurpalsdottir Iceland
Lauren A. Woodward United States
Tanja Klein‐Rodewald Germany
Keyu Lai China
Pallavi R. Joshi United States
Mais Hashem Saudi Arabia
Ying Lv relative to Ariel DH Gewirtz United States Ariel DH Gewirtz's profile →
Citations per field
00.5×1.5×
Ariel DH Gewirtz · 1×
Citations per year

Countries citing papers authored by Ying Lv

Since Specialization
Citations

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

Fields of papers citing papers by Ying Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

4 of 4 papers shown
#Work
1 201367
2 202211
3
[Apoptosis effect and mechanism of 5F from Pteris semipinnata on HepG2 cells].
20102
4
EFFECT OF EXTRACELLULAR POLYMERIC SUBSTANCES FROM Aphanizomenon flos-aquae (EPS-A) ON HUMAN EPIDERMOID CARCINOMA (A431 CELLS)
20151

About Ying Lv

Ying Lv is a scholar working on Molecular Biology, Pollution, Health, Toxicology and Mutagenesis, Environmental Chemistry and Infectious Diseases, having authored 4 papers that have together received 81 indexed citations. Recurring topics across this work include RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers), Environmental Toxicology and Ecotoxicology (1 paper), Aquatic Ecosystems and Phytoplankton Dynamics (1 paper), Pharmaceutical and Antibiotic Environmental Impacts (1 paper), Renal and related cancers (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Aging (2 citations), Molecular Biology (67 citations), Cancer Research (11 citations), Cellular and Molecular Neuroscience (8 citations) and Parasitology (2 citations). Ying Lv has collaborated with scholars based in China, Norway and United States. Frequent co-authors include Yun‐Gui Yang, A. Maria Olofsson, Yue Shi, Chuan He, Kang-Xuan Jin, Meng‐Qiu Dong, WU Yong-sheng, Markus Fußer, Yue‐He Ding and Arne Klungland. Their work appears in journals such as Nature Communications, Genomics Proteomics & Bioinformatics and PubMed.

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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