Wang Li

494 citations
37 papers · 348 · h-index 11

Impact in

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

Papers in

Wang Li

34 papers receiving 346 citations

Peers

Wang Li
Comparison fields: 5 of 68
  • Cancer Research 119
  • Molecular Biology 218
  • Biochemistry 15
  • Pulmonary and Respiratory Medicine 60
  • Oncology 50
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Wen‐Xiu Xu China
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Fan Yu China
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Citations per field
00.5×10×15×19×
Wen‐Xiu Xu · 1×
Citations per year

Countries citing papers authored by Wang Li

Since Specialization
Citations

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

Fields of papers citing papers by Wang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201354
2 201346
3 201845
4 202024
5 202322
6 202221
7
p53 gene mutations in multifocal esophageal precancerous and cancerous lesions in patients with esophageal cancer in high risk northern China
199914
8 202213
9 202212
10 201912
11 202311
12 202010
13 20208
14 20228
15
Identification of PDCD1 and PDCD1LG2 as Prognostic Biomarkers and Associated with Immune Infiltration in Hepatocellular Carcinoma
20226
16
Antitumor activity of polysaccharide from Aralia elata Seem and the effect on immune functions in tumor-bearing mice
20115
17 20114
18 20233
19
[Mechanism of immune escape in renal cell carcinoma].
20023
20 20233

About Wang Li

Wang Li is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Oncology, having authored 37 papers that have together received 348 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Ferroptosis and cancer prognosis (7 papers), Circular RNAs in diseases (5 papers), Cancer-related molecular mechanisms research (5 papers), Plant Pathogens and Fungal Diseases (2 papers), RNA Research and Splicing (2 papers), Renal cell carcinoma treatment (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cancer Research (119 citations), Molecular Biology (218 citations), Biochemistry (15 citations), Pulmonary and Respiratory Medicine (60 citations) and Oncology (50 citations). Wang Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Junnian Zheng, Jiacun Chen, Lijun Mao, Junqi Wang, Chunhua Yang, Guang Yang, Zhaojie Li, Zhen‐Qiang Pan, Peng-jin Mei and Yongping Wu. Their work appears in journals such as Clinical & Translational Oncology, Journal of Hypertension, Journal of Translational Medicine, Cancer Letters and Immunopharmacology and Immunotoxicology.

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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