Li Gu

400 citations
9 papers · 269 · 1 hit paper · h-index 6

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Cancer Immunotherapy and Biomarkers

Papers in

Li Gu

9 papers receiving 265 citations

Li Gu's Hit Papers

VEGF/VEGFR-Targeted Therapy and Immunotherapy in Non-small Cell Lung Cancer: Targeting the Tumor Microenvironment 2022 · 152 citations
1520+1+2Years since publication50100150

Peers

Li Gu
Comparison fields: 5 of 56
  • Cancer Research 60
  • Oncology 63
  • Immunology 40
  • Complementary and alternative medicine 13
  • Molecular Biology 109
Replace Bing Liang with:
Bing Liang China
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Chan Woo Kang South Korea
Elmira Roshani Asl Iran
Yun‐Kyoung Ryu South Korea
Bingqian Xie China
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Li Gu relative to Bing Liang China Bing Liang's profile →
Citations per field
00.5×1.7×
Bing Liang · 1×
Citations per year

Countries citing papers authored by Li Gu

Since Specialization
Citations

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

Fields of papers citing papers by Li Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
VEGF/VEGFR-Targeted Therapy and Immunotherapy in Non-small Cell Lung Cancer: Targeting the Tumor Microenvironment
Hit paper breakdown →
2022152
2 200831
3 202225
4 201724
5 202417
6 202210
7 20205
8 20244
9 20231

About Li Gu

Li Gu is a scholar working on Cancer Research, Molecular Biology, Oncology, Complementary and alternative medicine and Endocrinology, Diabetes and Metabolism, having authored 9 papers that have together received 269 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (1 paper), Potato Plant Research (1 paper), Phytochemicals and Antioxidant Activities (1 paper), Natural Antidiabetic Agents Studies (1 paper), Nuts composition and effects (1 paper) and Medicinal Plants and Neuroprotection (1 paper). The work is most often cited by research in Cancer Research (60 citations), Oncology (63 citations), Immunology (40 citations), Complementary and alternative medicine (13 citations) and Molecular Biology (109 citations). Li Gu has collaborated with scholars based in China and Thailand. Frequent co-authors include Zhangang Xiao, Xu Wu, Jing Shen, Fukuan Du, Mingxing Li, Yueshui Zhao, Xiaobing Li, Wanping Li, Sipeng Guo and Jing Li. Their work appears in journals such as Cancer Gene Therapy, Nutrients, The Journal of Gene Medicine, Cell Communication and Signaling and International Journal of Biological Sciences.

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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