Weisi Liu

1.1k citations
33 papers · 663 · h-index 16

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Galectins and Cancer Biology

Papers in

Weisi Liu

33 papers receiving 656 citations

Peers

Weisi Liu
Comparison fields: 5 of 73
  • Cancer Research 160
  • Immunology 150
  • Oncology 140
  • Molecular Biology 360
  • Hepatology 26
Replace Alexander J. Cole with:
Alexander J. Cole Australia
Teresa J. Melink United States
Gaia Giannone Italy
Feifei Na China
Marie E. Mathers United Kingdom
Katherine Karakasis Canada
Gopna V. Rao United States
Hey-Chi Hsu Taiwan
Baozhen Ke United States
Anna Maria Granato Italy
Weisi Liu relative to Alexander J. Cole Australia Alexander J. Cole's profile →
Citations per field
00.5×8.7×
Alexander J. Cole · 1×
Citations per year

Countries citing papers authored by Weisi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Weisi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015102
2 201486
3 201339
4 201733
5 201332
6 201532
7 201530
8 201523
9 201323
10 202223
11 201722
12 201622
13 201520
14 202118
15 201517
16 201415
17 201414
18 201514
19 201414
20 201413

About Weisi Liu

Weisi Liu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Immunology, having authored 33 papers that have together received 663 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (10 papers), Glycosylation and Glycoproteins Research (4 papers), Galectins and Cancer Biology (4 papers), Epigenetics and DNA Methylation (3 papers), MicroRNA in disease regulation (3 papers), Cancer Genomics and Diagnostics (2 papers), Renal and related cancers (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). The work is most often cited by research in Cancer Research (160 citations), Immunology (150 citations), Oncology (140 citations), Molecular Biology (360 citations) and Hepatology (26 citations). Weisi Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jiejie Xu, Weijuan Zhang, Haiou Liu, Yidong Liu, Jianxin Gu, Qiang Fu, Deng Pan, Le Xu, Qian Wu and Yidong Liu. Their work appears in journals such as Urologic Oncology Seminars and Original Investigations, Tumor Biology, Journal of Biological Chemistry, Frontiers in Public Health 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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