Tengda Li

511 citations
37 papers · 372 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Advanced biosensing and bioanalysis techniques
    • Extracellular vesicles in disease
    • RNA Interference and Gene Delivery

Papers in

Tengda Li

36 papers receiving 366 citations

Peers

Tengda Li
Comparison fields: 5 of 94
  • Cancer Research 40
  • Molecular Biology 166
  • Industrial and Manufacturing Engineering 20
  • Hematology 18
  • Immunology 31
Replace Hongyu Zhou with:
Hongyu Zhou China
Yuanyuan Qiao China
Cheng-Wei Chang Taiwan
Zesheng Wang China
Taeyoung Kim South Korea
Siying Chen China
Huiqin Jiang China
Yasutaka Sakurai Japan
Xiangqun Liu China
Tengda Li relative to Hongyu Zhou China Hongyu Zhou's profile →
Citations per field
00.5×10×20×30×40×46×
Hongyu Zhou · 1×
Citations per year

Countries citing papers authored by Tengda Li

Since Specialization
Citations

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

Fields of papers citing papers by Tengda Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018118
2 201821
3 201819
4 201817
5 202215
6 201814
7 201813
8 202413
9 202313
10 202212
11 202412
12 202310
13 202210
14 20219
15 20238
16 20207
17 20217
18 20236
19 20245
20 20224

About Tengda Li

Tengda Li is a scholar working on Aerospace Engineering, Molecular Biology, Pharmacology, Epidemiology and Plant Science, having authored 37 papers that have together received 372 indexed citations. Recurring topics across this work include Electromagnetic Launch and Propulsion Technology (6 papers), High-Velocity Impact and Material Behavior (5 papers), Fungal Biology and Applications (5 papers), Polysaccharides and Plant Cell Walls (5 papers), Seaweed-derived Bioactive Compounds (4 papers), Autophagy in Disease and Therapy (4 papers), Military Defense Systems Analysis (4 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (40 citations), Molecular Biology (166 citations), Industrial and Manufacturing Engineering (20 citations), Hematology (18 citations) and Immunology (31 citations). Tengda Li has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Anmei Deng, Hui Wang, Hui Chen, Jilie Kong, Zhipeng Huang, Mingli Gu, Mingyang Song, Cheng Qian, Zhen‐Yuan Zhu and Ting‐Chi Wen. Their work appears in journals such as Electronics, Process Biochemistry, International Journal of Biological Macromolecules, Cellular Physiology and Biochemistry and Cell Death and Disease.

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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