Liling Qin

491 citations
20 papers · 366 · h-index 10

Impact in

Papers in

    • Immune Cell Function and Interaction 4
    • interferon and immune responses 4
    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 3
    • Inflammatory Biomarkers in Disease Prognosis 3
    • Cancer Immunotherapy and Biomarkers 3

Liling Qin

17 papers receiving 362 citations

Peers

Liling Qin
Comparison fields: 5 of 61
  • Hepatology 92
  • Cancer Research 127
  • Oncology 158
  • Immunology 119
  • Molecular Biology 136
Replace Sabina Delcuratolo with:
Sabina Delcuratolo Italy
Betül Gök Yavuz United States
Carina Hage Switzerland
Irene Lo China
Ruiqi Wu China
Shusen Zheng China
Wenli Sai China
Zu-Shun Chen China
Mara Persano Italy
Te-Sheng Chang Taiwan
Liling Qin relative to Sabina Delcuratolo Italy Sabina Delcuratolo's profile →
Citations per field
00.5×3.7×
Sabina Delcuratolo · 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

20 of 20 papers shown
#Work
1 201474
2 201373
3 200456
4 201334
5 201523
6 202322
7 200720
8 201714
9 201714
10 201710
11 20218
12
[Correlation between interleukin-28B genetic polymorphisms and primary hepatocellular carcinoma].
20125
13
[The frequency, phenotypes and functions of CD4+ CD25+ regulatory T cells in hepatocellular carcinoma patients].
20074
14 20213
15 20172
16 20242
17 20172
18 20240
19 20250
20 20220

About Liling Qin

Liling Qin is a scholar working on Immunology, Oncology, Hepatology, Epidemiology and Cancer Research, having authored 20 papers that have together received 366 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Immune Cell Function and Interaction (4 papers), interferon and immune responses (4 papers), Cancer, Lipids, and Metabolism (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), T-cell and B-cell Immunology (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Hepatology (92 citations), Cancer Research (127 citations), Oncology (158 citations), Immunology (119 citations) and Molecular Biology (136 citations). Liling Qin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Weijia Liao, Shengguang Yuan, Songqing He, Jianan Wu, Yan Liao, Ran Fei, Peng‐Peng Zhu, Qun Zhu, Jingmei Zhang and Wenmin Yao. Their work appears in journals such as Scientific Reports, Clinical Cancer Research, Diagnostic Pathology, Cancer Immunology Immunotherapy and Journal of Experimental & Clinical Cancer 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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