Dake Li

984 citations
43 papers · 649 indexed · h-index 14

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments

Papers in

    • Circular RNAs in diseases 3
    • DNA Repair Mechanisms 3
    • RNA modifications and cancer 3
    • Cancer-related molecular mechanisms research 4
    • Cancer, Lipids, and Metabolism 3

Dake Li

37 papers receiving 643 citations

Peers

Dake Li
Comparison fields: 5 of 90
  • Cancer Research 120
  • Neurology 99
  • Molecular Biology 308
  • Immunology 92
  • Neurology 35
Replace Francesca Casagrande with:
Francesca Casagrande Italy
Alireza Azimi Sweden
John P. Grady United Kingdom
Lihua Yu China
Anne-Sophie Lèbre France
Reeval Segel Israel
Javad Rasouli United States
Cheryl D’Souza Canada
Casmir Turnquist United Kingdom
Wenzhen Yu China
Dake Li relative to Francesca Casagrande Italy Francesca Casagrande's profile →
Citations per field
00.5×
Francesca Casagrande · 1×
Citations per year

Countries citing papers authored by Dake Li

Since Specialization
Citations

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

Fields of papers citing papers by Dake Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202173
2 201966
3 202060
4 201147
5 201840
6 201740
7 202133
8 201633
9 201729
10 202024
11 202423
12 201422
13 202217
14 201913
15 202312
16 201611
17 201711
18 201711
19 201710
20 20239

About Dake Li

Dake Li is a scholar working on Molecular Biology, Cancer Research, Oncology, Neurology and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 649 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Ovarian cancer diagnosis and treatment (4 papers), Cancer-related molecular mechanisms research (4 papers), Cancer, Lipids, and Metabolism (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Circular RNAs in diseases (3 papers), DNA Repair Mechanisms (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (120 citations), Neurology (99 citations), Molecular Biology (308 citations), Immunology (92 citations) and Neurology (35 citations). Dake Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wen Wang, Jian Cao, Jian Wu, Fengtao Liu, Jian Wang, Gaofeng Fan, Yixuan Wang, Sisi Zhou, Yafeng Wu and Yujie Yang. Their work appears in journals such as Journal of Biological Chemistry, Brain and Behavior, Frontiers in Cell and Developmental Biology, Cell Reports and International Journal of Oncology.

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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