Dan Dan Li

535 citations
38 papers · 384 · h-index 8

Impact in

  • Pharmacology top 10%
    • Berberine and alkaloids research
    • Alkaloids: synthesis and pharmacology
    • CAR-T cell therapy research

Papers in

    • Photosynthetic Processes and Mechanisms 2
    • DNA Repair Mechanisms 1
    • Virus-based gene therapy research 2

Dan Dan Li

33 papers receiving 379 citations

Peers

Dan Dan Li
Comparison fields: 5 of 99
  • Pharmacology 87
  • Pharmacology 46
  • Oncology 61
  • Molecular Biology 155
  • Endocrinology, Diabetes and Metabolism 33
Replace Jiandong Yu with:
Jiandong Yu China
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Yun‐Suk Kwon South Korea
Prakash Dharmalingam India
Xiaohong Yuan China
Vasanth Raj Palanimuthu India
Min Yeong Park South Korea
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Citations per field
00.5×5.3×
Jiandong Yu · 1×
Citations per year

Countries citing papers authored by Dan Dan Li

Since Specialization
Citations

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

Fields of papers citing papers by Dan Dan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008132
2 201670
3 202356
4 201235
5 201414
6 201511
7 20238
8 20247
9 20246
10 20246
11 20104
12 20243
13 20243
14 20123
15 20253
16 20112
17 20202
18 20242
19 20132
20 20202

About Dan Dan Li

Dan Dan Li is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Oncology and Mechanical Engineering, having authored 38 papers that have together received 384 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (2 papers), Virus-based gene therapy research (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Safety and Risk Management (2 papers), DNA Repair Mechanisms (1 paper), Plant Physiology and Cultivation Studies (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Advanced Photocatalysis Techniques (1 paper). The work is most often cited by research in Pharmacology (87 citations), Pharmacology (46 citations), Oncology (61 citations), Molecular Biology (155 citations) and Endocrinology, Diabetes and Metabolism (33 citations). Dan Dan Li has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Ying Xu, Le Zhang, Xin‐Qi Gao, Ting Zhao, Xin‐Ying Zhao, Xian Sheng Zhang, Changzhen Liu, Shi H, Jinrong Yang and Shuang Zhang. Their work appears in journals such as Horticultural Plant Journal, International Journal of Infectious Diseases, International Journal of Hydrogen Energy, Trials and Advanced Functional Materials.

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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