Debao Li

669 citations
27 papers · 533 · h-index 8

Impact in

    • Plant-Microbe Interactions and Immunity
    • Plant Disease Resistance and Genetics
    • Plant Pathogens and Fungal Diseases

Papers in

Debao Li

23 papers receiving 522 citations

Peers

Debao Li
Comparison fields: 5 of 95
  • Plant Science 197
  • Cell Biology 73
  • Molecular Biology 268
  • Pharmacology 57
  • Horticulture 3
Replace Zhihua Zhou with:
Zhihua Zhou China
Sabine Berg Germany
Si Wang United States
Caixia Yu China
Wenming Zhao Russia
Zhibing Duan China
Joaquín Panadero Spain
Laurentijn Tilleman Belgium
Yitong Pan China
Debao Li relative to Zhihua Zhou China Zhihua Zhou's profile →
Citations per field
00.5×5×10×15×20×23×
Zhihua Zhou · 1×
Citations per year

Countries citing papers authored by Debao Li

Since Specialization
Citations

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

Fields of papers citing papers by Debao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003361
2 201028
3 201224
4 200019
5 202016
6 202015
7 20229
8 20239
9 20237
10 20226
11 20236
12 20235
13 20074
14 20134
15 20254
16 20133
17 20243
18 20253
19 20222
20 20232

About Debao Li

Debao Li is a scholar working on Pulmonary and Respiratory Medicine, Developmental Neuroscience, Plant Science, Pharmacology and Pathology and Forensic Medicine, having authored 27 papers that have together received 533 indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (4 papers), Neonatal Respiratory Health Research (4 papers), Congenital Heart Disease Studies (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Spinal Cord Injury Research (2 papers), Nerve injury and regeneration (2 papers), Fungal and yeast genetics research (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Plant Science (197 citations), Cell Biology (73 citations), Molecular Biology (268 citations), Pharmacology (57 citations) and Horticulture (3 citations). Debao Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Nicholas J. Talbot, Christopher R. Thornton, Michael J. Kershaw, Lincai Ye, Qi Sun, Kenneth R. Barker, Hong Wang, Arthur G. Hunt, Zhengyi Wang and Ya Li. Their work appears in journals such as Scientific Reports, Cell & Bioscience, Journal of Molecular Neuroscience, Journal of Zhejiang University SCIENCE B and Frontiers in Cardiovascular Medicine.

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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