Lingge Lu

688 citations
13 papers · 550 · h-index 10

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 5
    • Protein Kinase Regulation and GTPase Signaling 5
    • Kruppel-like factors research 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Fibroblast Growth Factor Research 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Proteoglycans and glycosaminoglycans research 2

Lingge Lu

13 papers receiving 530 citations

Peers

Lingge Lu
Comparison fields: 5 of 66
  • Immunology and Allergy 113
  • Cancer Research 123
  • Molecular Biology 407
  • Cell Biology 80
  • Genetics 43
Replace Ylva Paulsson with:
Ylva Paulsson Sweden
Stefano Marastoni Italy
Maria Ferletta Sweden
Aruna M. Somasiri Canada
Séverine Cruet-Hennequart Ireland
Timo Väisänen Finland
S Godyna United States
Erin M. Conn United States
Erica Lorenzon Switzerland
John MacFadyen United Kingdom
Lingge Lu relative to Ylva Paulsson Sweden Ylva Paulsson's profile →
Citations per field
00.5×12×
Ylva Paulsson · 1×
Citations per year

Countries citing papers authored by Lingge Lu

Since Specialization
Citations

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

Fields of papers citing papers by Lingge Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2000240
2 200277
3 200550
4 200943
5 201128
6 200025
7
Role of the Src homology 2 domain-containing protein Shb in murine brain endothelial cell proliferation and differentiation.
200221
8 200020
9 200018
10 200517
11 19986
12 20054
13 20061

About Lingge Lu

Lingge Lu is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Surgery and Neurology, having authored 13 papers that have together received 550 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Cell Adhesion Molecules Research (3 papers), Kruppel-like factors research (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Fibroblast Growth Factor Research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). The work is most often cited by research in Immunology and Allergy (113 citations), Cancer Research (123 citations), Molecular Biology (407 citations), Cell Biology (80 citations) and Genetics (43 citations). Lingge Lu has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Michael Welsh, Kristina Holmqvist, Lena Claesson‐Welsh, Takako Sasaki, Åke Engström, Johan Dixelius, Rupert Timpl, Helena Elding Larsson, Michael Cross and Rüediger Liersch. Their work appears in journals such as Blood, Experimental Cell Research, Molecular Biology of the Cell, Gene and Journal of the American Society of Nephrology.

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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