Qin Liu

21.9k citations
396 papers · 10.5k indexed · 3 hit papers · h-index 51

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 1%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Response and Inflammation 21
    • Immune Cell Function and Interaction 16
    • Immunotherapy and Immune Responses 16
    • CAR-T cell therapy research 19
    • Cancer Immunotherapy and Biomarkers 19

Qin Liu

374 papers receiving 10.3k citations

Hit Papers

The microbiome-derived metabolite TMAO drives immune activation and boosts responses to immune checkpoint blockade in pancreatic cancer 2022 · 205 citations
2052015202620182022100200300400

Peers

Qin Liu
Comparison fields: 5 of 186
  • Cancer Research 1.8k
  • Oncology 2.3k
  • Immunology 1.8k
  • Molecular Biology 4.7k
  • Virology 162
Replace Qi Wang with:
Qi Wang China
Robert Geffers Germany
Jianwei Wang China
István Boldogh United States
Xiao Liu China
Ying Li China
Nancy C. Andrews United States
Yang Wang China
Steven S. Shen United States
Claude Libert Belgium
Qin Liu relative to Qi Wang China Qi Wang's profile →
Citations per field
00.5×1.5×
Qi Wang · 1×
Citations per year

Countries citing papers authored by Qin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Qin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20241
4 20245
5 20236
6 202310
7 202011
8 202057
9 201910
10 201912
11 201839
12 201627
13 201623
14 201634
15 2016152
16 201587
17 201435
18 2013132
19 2013108
20 201110

About Qin Liu

Qin Liu is a scholar working on Immunology, Oncology, Cancer Research, Virology and Immunology and Allergy, having authored 396 papers that have together received 10.5k indexed citations. Recurring topics across this work include Immune Response and Inflammation (21 papers), CAR-T cell therapy research (19 papers), Cancer Immunotherapy and Biomarkers (19 papers), MicroRNA in disease regulation (18 papers), Immune Cell Function and Interaction (16 papers), Immunotherapy and Immune Responses (16 papers), Monoclonal and Polyclonal Antibodies Research (14 papers) and Autophagy in Disease and Therapy (14 papers). The work is most often cited by research in Cancer Research (1.8k citations), Oncology (2.3k citations), Immunology (1.8k citations), Molecular Biology (4.7k citations) and Virology (162 citations). Qin Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Andrew V. Kossenkov, Rugang Zhang, David W. Speicher, Lucia R. Languino, Katherine M. Aird, Hsin‐Yao Tang, Dario C. Altieri, Xiangfan Yin, Hanjiang Fu and Zhixian Sun. Their work appears in journals such as Cancer Research, PLoS ONE, Nature Communications, Journal of Clinical Oncology and Oncotarget.

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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