Weiqun Li

6.0k citations
97 papers · 4.4k · h-index 39

Impact in

  • Immunology top 5%
    • Phagocytosis and Immune Regulation
    • Protein Kinase Regulation and GTPase Signaling
    • PI3K/AKT/mTOR signaling in cancer

Papers in

Weiqun Li

93 papers receiving 4.3k citations

Peers

Weiqun Li
Comparison fields: 5 of 152
  • Immunology 718
  • Molecular Biology 2.2k
  • Oncology 747
  • Hematology 301
  • Spectroscopy 431
Replace Sean M. Wu with:
Sean M. Wu United States
Masaaki Mizuno Japan
Ruth Knuechel Germany
Xiaofeng Dai China
Matthias Nees Finland
Ian Collins United Kingdom
Pamela L. Strissel Germany
Gary L. Griffiths United States
Wolfgang Mueller‐Klieser Germany
Matthew Trotter United Kingdom
Weiqun Li relative to Sean M. Wu United States Sean M. Wu's profile →
Citations per field
00.5×2.6×
Sean M. Wu · 1×
Citations per year

Countries citing papers authored by Weiqun Li

Since Specialization
Citations

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

Fields of papers citing papers by Weiqun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010432
2 2012212
3
Enhanced sensitivity of multiple myeloma cells containing PTEN mutations to CCI-779.
2002197
4 2002182
5 1999181
6 2002165
7 2022138
8 2000107
9 2007105
10 2022102
11 199999
12 199495
13 199792
14 199589
15 202085
16 200284
17 199982
18 200278
19 201075
20 199775

About Weiqun Li

Weiqun Li is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Immunology, Oncology and Hematology, having authored 97 papers that have together received 4.4k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (15 papers), Advancements in Battery Materials (15 papers), PI3K/AKT/mTOR signaling in cancer (11 papers), Multiple Myeloma Research and Treatments (8 papers), Mass Spectrometry Techniques and Applications (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Advanced Battery Materials and Technologies (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Immunology (718 citations), Molecular Biology (2.2k citations), Oncology (747 citations), Hematology (301 citations) and Spectroscopy (431 citations). Weiqun Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jacalyn H. Pierce, Donald G. Payan, Huan Qi, Ying Liao, William Stafford Noble, Alan G. Marshall, Lu‐Hai Wang, Dave Anderson, Jiachang Zhang and J. Silvio Gutkind. Their work appears in journals such as Journal of Biological Chemistry, Blood, Molecular and Cellular Biology, Oncogene and ACS Applied Materials & Interfaces.

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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