Liling Qin

464 citations
14 papers · 375 · h-index 10

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 6
    • Hepatitis C virus research 1
    • Inflammatory Biomarkers in Disease Prognosis 3
    • Cancer Immunotherapy and Biomarkers 1

Liling Qin

14 papers receiving 370 citations

Peers

Liling Qin
Comparison fields: 5 of 46
  • Hepatology 118
  • Oncology 112
  • Immunology 69
  • Drug Discovery 1
  • Cancer Research 25
Replace Yibing Peng with:
Yibing Peng United States
Yuyang Lin China
Angela D. Pardee United States
Lihui Zhu China
Xiaolu Ma China
Shon Green United States
Otto Ka-Wing Cheung Hong Kong
Cora A. Ricker United States
Seo Hee Nam South Korea
Wan-Ru Ning China
Liling Qin relative to Yibing Peng United States Yibing Peng's profile →
Citations per field
00.5×2×2.6×
Yibing Peng · 1×
Citations per year

Countries citing papers authored by Liling Qin

Since Specialization
Citations

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

Fields of papers citing papers by Liling Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201479
2 201375
3 200458
4 201334
5 201525
6 202325
7 200721
8 201715
9 201713
10 201711
11 20218
12
[Correlation between interleukin-28B genetic polymorphisms and primary hepatocellular carcinoma].
20125
13 20173
14 20243

About Liling Qin

Liling Qin is a scholar working on Hepatology, Oncology, Epidemiology, Immunology and Genetics, having authored 14 papers that have together received 375 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Hepatitis B Virus Studies (3 papers), Immunotherapy and Immune Responses (2 papers), Genetic Associations and Epidemiology (2 papers), PI3K/AKT/mTOR signaling in cancer (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Hepatitis C virus research (1 paper). The work is most often cited by research in Hepatology (118 citations), Oncology (112 citations), Immunology (69 citations), Drug Discovery (1 citation) and Cancer Research (25 citations). Liling Qin has collaborated with scholars based in China and United States. Frequent co-authors include Weijia Liao, Shengguang Yuan, Songqing He, Jianan Wu, Yan Liao, Ran Fei, Junfei Jin, Biao Lei, Qun Zhu and Qian Chen. Their work appears in journals such as Scientific Reports, Clinical Cancer Research, BMC Surgery, Translational Oncology and Environmental 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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