Tianyi Wang

915 citations
34 papers · 685 indexed · h-index 13

Tianyi Wang

31 papers receiving 679 citations

Peers

Tianyi Wang
Comparison fields: 5 of 100
  • Rheumatology 130
  • Genetics 69
  • Biomaterials 84
  • Immunology 110
  • Cell Biology 74
Replace Laura Gambari with:
Laura Gambari Italy
Bing Tu China
Juanjuan Wu China
Hongwei Jiang China
János Hunyadi Hungary
Chunyan Yu China
Huaqiang Tao China
Wilairat Leeanansaksiri Thailand
Jeffrey C. Geesin United States
Tianyi Wang relative to Laura Gambari Italy Laura Gambari's profile →
Citations per field
00.5×1.5×2.5×
Laura Gambari · 1×
Citations per year

Countries citing papers authored by Tianyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tianyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 20240
4 20237
5 20235
6 20238
7 20228
8 202247
9 20225
10 20212
11 20214
12 20195
13 201844
14 201665
15 201461
16
Review on Ancient Traditional Chinese Medicine External Use Prescriptions with Skin-whitening, Macularemoving, Stagnation-dissipating and Scar-removing Efficacy (Chapter Two)+——Characteristics of Prescriptions and Medicine in the Song-Jin-Yuan Dynasty
20120
17 201216
18
Urban Road Headway under Ice and Snowfall Conditions
20110
19
Pharmacokinetics and pharmacodynamics studies of Tanshinone IIA and tanshinone IIA sulfonate
20093
20 200095

About Tianyi Wang

Tianyi Wang is a scholar working on Microbiology, Aging and Microbiology, having authored 34 papers that have together received 685 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), Mesenchymal stem cell research (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Air Quality and Health Impacts (2 papers), Knee injuries and reconstruction techniques (2 papers), Antimicrobial Peptides and Activities (2 papers), Congenital heart defects research (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). The work is most often cited by research in Rheumatology (130 citations), Genetics (69 citations) and Biomaterials (84 citations). Tianyi Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Fan Yang, Janice H. Lai, Bruce S. Zwilling, William P. Lafuse, Li‐Hsin Han, Xinming Tong, Nan Li, Zhi‐Yong Han, Liu‐Zhu Gong and Liming Zhang. Their work appears in journals such as The Journal of Immunology, The Science of The Total Environment and Gene.

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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