De Li

1.3k citations
46 papers · 1.0k · h-index 18

Impact in

Papers in

    • Mitochondrial Function and Pathology 5
    • Angiogenesis and VEGF in Cancer 3
    • Bone Metabolism and Diseases 3
    • Signaling Pathways in Disease 2
    • Orthopaedic implants and arthroplasty 4

De Li

43 papers receiving 1.0k citations

Peers

De Li
Comparison fields: 5 of 103
  • Aging 23
  • Biochemistry 82
  • Cell Biology 178
  • Sensory Systems 49
  • Endocrine and Autonomic Systems 55
Replace Florent Allagnat with:
Florent Allagnat Switzerland
Michio Nakaya Japan
Shiva Kazerounian United States
Ana Guerrero United Kingdom
Paweł E. Ferdek Poland
Alexander Keller United States
Johann Gassenhuber Germany
Jacqueline Ohanian United Kingdom
Camila López‐Crisosto Chile
Rubén Quintana–Cabrera Italy
De Li relative to Florent Allagnat Switzerland Florent Allagnat's profile →
Citations per field
00.5×3.3×
Florent Allagnat · 1×
Citations per year

Countries citing papers authored by De Li

Since Specialization
Citations

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

Fields of papers citing papers by De Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012149
2 2009106
3 201674
4 201570
5 201660
6 201656
7 201649
8 201145
9 201345
10 202143
11 201933
12 201523
13 201822
14
Application of DNA Sequences in Plant Phylogenetic Study
200222
15 201321
16 202018
17 201617
18 201917
19 201716
20 201714

About De Li

De Li is a scholar working on Molecular Biology, Surgery, Cancer Research, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Cardiac Ischemia and Reperfusion (4 papers), Orthopaedic implants and arthroplasty (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Bone Metabolism and Diseases (3 papers), Signaling Pathways in Disease (2 papers), Mesenchymal stem cell research (2 papers) and Hereditary Neurological Disorders (2 papers). The work is most often cited by research in Aging (23 citations), Biochemistry (82 citations), Cell Biology (178 citations), Sensory Systems (49 citations) and Endocrine and Autonomic Systems (55 citations). De Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yongjian Yang, Dachun Yang, Peng Li, Haifeng Pei, Shuangtao Ma, Linkang Zhou, Erhe Gao, Xiuchuan Li, Hui Wang and Feifei Guan. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, Biochemical and Biophysical Research Communications, Free Radical Biology and Medicine, Journal of Orthopaedic Surgery and Research and Acta Biochimica et Biophysica Sinica.

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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