Cunlan Liu

831 citations
11 papers · 660 · h-index 7

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Chemokine receptors and signaling
    • Lymphatic System and Diseases

Papers in

Cunlan Liu

11 papers receiving 653 citations

Peers

Cunlan Liu
Comparison fields: 5 of 74
  • Immunology 443
  • Oncology 164
  • Endocrinology, Diabetes and Metabolism 75
  • Hematology 43
  • Cell Biology 43
Replace Katrin Hafen with:
Katrin Hafen Switzerland
Katarzyna Grymuła Poland
Jeske J. Smink Germany
Mari Kiyono Japan
Svetlana Ulyanchenko United Kingdom
Michal Shoshkes-Carmel Israel
Satoru Sakazume Japan
Lieven Haenebalcke Belgium
Anne Gompf Germany
Liberty Walker United States
Cunlan Liu relative to Katrin Hafen Switzerland Katrin Hafen's profile →
Citations per field
00.5×1.5×2.3×
Katrin Hafen · 1×
Citations per year

Countries citing papers authored by Cunlan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Cunlan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2006237
2 2006155
3 2004113
4 200689
5 200425
6 202223
7 200911
8 20243
9 20032
10 20231
11 20221

About Cunlan Liu

Cunlan Liu is a scholar working on Immunology, Industrial and Manufacturing Engineering, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 660 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Diabetes and associated disorders (2 papers), Immunotherapy and Immune Responses (2 papers), Phosphorus and nutrient management (2 papers), Chemokine receptors and signaling (2 papers), Neonatal Respiratory Health Research (2 papers), Immune Cell Function and Interaction (2 papers) and Growth Hormone and Insulin-like Growth Factors (1 paper). The work is most often cited by research in Immunology (443 citations), Oncology (164 citations), Endocrinology, Diabetes and Metabolism (75 citations), Hematology (43 citations) and Cell Biology (43 citations). Cunlan Liu has collaborated with scholars based in Japan, China and Germany. Frequent co-authors include Yousuke Takahama, Fumi Saito, Martin Lipp, Tomoo Ueno, Georg A. Holländer, Hirotsugu Kurobe, Rieko Arakaki, Natalie Seach, Tetsuya Kitagawa and Izumi Ohigashi. Their work appears in journals such as Blood, European Journal of Immunology, Bioresource Technology, Immunity and Immunological Reviews.

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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