Da Li

1.0k citations
35 papers · 747 · h-index 12

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • Pancreatic and Hepatic Oncology Research
    • Cancer Genomics and Diagnostics

Papers in

    • Cancer Cells and Metastasis 4
    • Cancer Immunotherapy and Biomarkers 3
    • Pancreatic and Hepatic Oncology Research 3
    • Helicobacter pylori-related gastroenterology studies 2

Da Li

29 papers receiving 736 citations

Peers

Da Li
Comparison fields: 5 of 88
  • Oncology 250
  • Cancer Research 105
  • Immunology 123
  • Biomedical Engineering 159
  • Molecular Biology 242
Replace Shaoming Zhu with:
Shaoming Zhu China
Zhao Yang China
Haiping Jiang China
Asma Ahmed Germany
Shiguo Zhu China
Beibei Ni China
Chunwen Pu China
Carlos Palmeira Portugal
Da Li relative to Shaoming Zhu China Shaoming Zhu's profile →
Citations per field
00.5×10×12.5×
Shaoming Zhu · 1×
Citations per year

Countries citing papers authored by Da Li

Since Specialization
Citations

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

Fields of papers citing papers by Da Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021187
2 2018130
3 201199
4 201875
5 201561
6 202233
7 201930
8 201925
9 201921
10 201816
11 201412
12 201812
13 20238
14 20206
15 20235
16 20234
17 20234
18
The cardio-protection of Salvia miltiorrhiza Ligustrazine Hydrochloride and Glucose Injection on myocardial ischemia-reperfusion injury in mice
20123
19 20163
20 20242

About Da Li

Da Li is a scholar working on Oncology, Surgery, Biomedical Engineering, Molecular Biology and Pathology and Forensic Medicine, having authored 35 papers that have together received 747 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Nanoplatforms for cancer theranostics (3 papers), Cancer Genomics and Diagnostics (2 papers), Gastrointestinal motility and disorders (2 papers), Cannabis and Cannabinoid Research (2 papers) and Helicobacter pylori-related gastroenterology studies (2 papers). The work is most often cited by research in Oncology (250 citations), Cancer Research (105 citations), Immunology (123 citations), Biomedical Engineering (159 citations) and Molecular Biology (242 citations). Da Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Hongming Pan, Mengting Tong, Bowen Li, Xiaojie Xu, Yanling Wang, Honglin Tang, Tao Wan, Huhu Xin, Yuxuan Chen and Weidong Han. Their work appears in journals such as PLoS ONE, Scientific Reports, BioMed Research International, Frontiers in Cellular and Infection Microbiology and BMC Gastroenterology.

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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