Li Tang

41 papers receiving 556 citations

Peers

Li Tang
Comparison fields: 5 of 92
  • Endocrinology 135
  • Periodontics 40
  • Food Science 86
  • Molecular Medicine 23
  • Immunology 92
Replace Ashwinkumar Subramenium Ganapathy with:
Ashwinkumar Subramenium Ganapathy United States
Javier Emílio Lazo Chica Brazil
Yanan An China
Saumya Ray Chaudhuri India
Hua Yu China
Yuting Fu China
Laurence Madera Canada
Venkadesaperumal Gopu India
Arezou Lari Iran
Mansoor Khaledi Iran
Li Tang relative to Ashwinkumar Subramenium Ganapathy United States Ashwinkumar Subramenium Ganapathy's profile →
Citations per field
00.5×5.6×
Ashwinkumar Subramenium Ganapathy · 1×
Citations per year

Countries citing papers authored by Li Tang

Since Specialization
Citations

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

Fields of papers citing papers by Li Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200862
2 201344
3 200542
4 200840
5 201837
6 202031
7 202228
8 201126
9 202023
10 201321
11 201519
12 200917
13 200917
14 201617
15 201217
16 200916
17 201015
18
Antibiotic prophylaxis for preventing dental implant failure and postoperative infection: A systematic review of randomized controlled trials.
201712
19 201811
20 201510

About Li Tang

Li Tang is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Genetics and Immunology, having authored 48 papers that have together received 575 indexed citations. Recurring topics across this work include Diabetes and associated disorders (7 papers), Pancreatic function and diabetes (7 papers), Diabetes Management and Research (6 papers), Natural product bioactivities and synthesis (5 papers), Vibrio bacteria research studies (4 papers), Traditional Chinese Medicine Analysis (3 papers), Salmonella and Campylobacter epidemiology (3 papers) and Animal Nutrition and Physiology (2 papers). The work is most often cited by research in Endocrinology (135 citations), Periodontics (40 citations), Food Science (86 citations), Molecular Medicine (23 citations) and Immunology (92 citations). Li Tang has collaborated with scholars based in China, United States and India. Frequent co-authors include J. Glenn Morris, O. Colin Stine, Yong Jiang, Donghui Chen, Pengfei Tu, Mingbo Zhao, Jun Li, G. Balakrish Nair, Shepo Shi and Shah M. Faruque. Their work appears in journals such as Journal of Asian Natural Products Research, Tissue and Cell, Clinical Implant Dentistry and Related Research, Analytical and Bioanalytical Chemistry and International Journal of Infectious Diseases.

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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