Tie Li

2.1k citations
106 papers · 1.7k · h-index 20

Impact in

    • Hydrogels: synthesis, properties, applications
    • Environmental remediation with nanomaterials
    • Graphene and Nanomaterials Applications
    • Advanced Sensor and Energy Harvesting Materials

Papers in

Tie Li

96 papers receiving 1.6k citations

Peers

Tie Li
Comparison fields: 5 of 134
  • Molecular Medicine 133
  • Biomedical Engineering 560
  • Complementary and alternative medicine 96
  • Water Science and Technology 136
  • Molecular Biology 512
Replace Sabah Ansar with:
Sabah Ansar Saudi Arabia
Ekambaram Perumal India
Swati Agarwal India
Satyakam Patnaik India
Jing Luo China
Jiabin Guo China
Aditya B. Pant India
Nan Cai China
Haiyan Zou China
Q. L. Niu China
Tie Li relative to Sabah Ansar Saudi Arabia Sabah Ansar's profile →
Citations per field
00.5×1.5×2.3×
Sabah Ansar · 1×
Citations per year

Countries citing papers authored by Tie Li

Since Specialization
Citations

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

Fields of papers citing papers by Tie Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999325
2 2011172
3 2012149
4 2016126
5 201160
6 199758
7 200349
8 201244
9 202034
10 200433
11 202031
12 201429
13 201727
14 202027
15
Rb-Sr isochron age of the Jiawula Pb-Zn-Ag deposit in the Manzhouli area and its geological significance
201426
16 202025
17 202221
18 200621
19 202220
20 201820

About Tie Li

Tie Li is a scholar working on Molecular Biology, Complementary and alternative medicine, Pharmacology, Biomedical Engineering and Physiology, having authored 106 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (14 papers), Traditional Chinese Medicine Studies (8 papers), Healthcare and Venom Research (6 papers), Sleep and related disorders (5 papers), Gastrointestinal motility and disorders (4 papers), Complementary and Alternative Medicine Studies (4 papers), CRISPR and Genetic Engineering (4 papers) and Menstrual Health and Disorders (3 papers). The work is most often cited by research in Molecular Medicine (133 citations), Biomedical Engineering (560 citations), Complementary and alternative medicine (96 citations), Water Science and Technology (136 citations) and Molecular Biology (512 citations). Tie Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include James Farrell, Bo Yan, Long Yu, Na Li, Mingxin Ye, Jianfeng Shen, Fuchun Wang, John P. N. Rosazza, Bo Yang and Weifei Wang. Their work appears in journals such as Medicine, Evidence-based Complementary and Alternative Medicine, The American Journal of Chinese Medicine, Cellular and Molecular Bioengineering and Journal of Endocrinology.

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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