Junling Liu

6.2k citations
191 papers · 4.4k · 2 hit papers · h-index 38

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 8
    • Platelet Disorders and Treatments 44
    • Blood groups and transfusion 6

Junling Liu

176 papers receiving 4.4k citations

Junling Liu's Hit Papers

Integrating single-cell RNA and T cell/B cell receptor sequencing with mass cytometry reveals dynamic trajectories of human peripheral immune cells from birth to old age 2025 · 37 citations
370Years since publication102030

Peers

Junling Liu
Comparison fields: 5 of 145
  • Hematology 832
  • Immunology and Allergy 228
  • Internal Medicine 103
  • Physiology 132
  • Immunology 548
Replace M Chiariello with:
M Chiariello Italy
Jeanette M. Wood Switzerland
J. Anthony Ware United States
Jean‐Baptiste Michel France
Qingzhong Xiao United Kingdom
Paul E. DiCorleto United States
Xiaoyun Fu United States
Qing Xiao China
Gang Zheng China
Amalia Bosìa Italy
Junling Liu relative to M Chiariello Italy M Chiariello's profile →
Citations per field
00.5×3.0×
M Chiariello · 1×
Citations per year

Countries citing papers authored by Junling Liu

Since Specialization
Citations

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

Fields of papers citing papers by Junling Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 191 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016180
2 2008180
3 2011162
4 2014143
5 2006115
6 201397
7 202090
8 201388
9 202382
10 200880
11 202178
12 200377
13 201774
14 201372
15 200569
16 201269
17 201966
18 201864
19 201761
20 201059

About Junling Liu

Junling Liu is a scholar working on Molecular Biology, Hematology, Immunology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 191 papers that have together received 4.4k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (44 papers), Cell Adhesion Molecules Research (12 papers), Antiplatelet Therapy and Cardiovascular Diseases (10 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Immune Cell Function and Interaction (8 papers), Lipid metabolism and disorders (6 papers), Autophagy in Disease and Therapy (6 papers) and Blood groups and transfusion (6 papers). The work is most often cited by research in Hematology (832 citations), Immunology and Allergy (228 citations), Internal Medicine (103 citations), Physiology (132 citations) and Immunology (548 citations). Junling Liu has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include T. Kent Gartner, Xiaoping Du, Michael C. Berndt, Carl W. Jackson, Zhenyu Li, Yi Zheng, Xuemei Fan, Kemin Wang, Lin Zhang and Yanyan Xu. Their work appears in journals such as Blood, Arteriosclerosis Thrombosis and Vascular Biology, Blood Advances, PLoS ONE and Nature Communications.

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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