Ri Tang

481 citations
29 papers · 341 · h-index 11

Impact in

Papers in

    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 7
    • Respiratory Support and Mechanisms 7
    • Neonatal Respiratory Health Research 6
    • Chronic Obstructive Pulmonary Disease (COPD) Research 4
    • Extracellular vesicles in disease 5
    • Signaling Pathways in Disease 2

Ri Tang

27 papers receiving 338 citations

Peers

Ri Tang
Comparison fields: 5 of 87
  • Health Informatics 17
  • Nephrology 30
  • Critical Care and Intensive Care Medicine 14
  • Pulmonary and Respiratory Medicine 82
  • Epidemiology 83
Replace Bin Miao with:
Bin Miao China
Jialing Liu China
Shenglin Ge China
Ming‐Lung Tsai Taiwan
Suko Adiarto Indonesia
Priyanka Bhattacharya United States
Jianwei Yang China
Juthipong Benjanuwattra United States
Norman Catibog United Kingdom
Ri Tang relative to Bin Miao China Bin Miao's profile →
Citations per field
00.5×
Bin Miao · 1×
Citations per year

Countries citing papers authored by Ri Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ri Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201845
2 201542
3 202239
4 201339
5 201626
6 202224
7 202316
8 202112
9 202211
10 202410
11 202210
12 202310
13 20219
14 20237
15 20236
16 20235
17 20234
18 20244
19 20234
20 20253

About Ri Tang

Ri Tang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 29 papers that have together received 341 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Respiratory Support and Mechanisms (7 papers), Neonatal Respiratory Health Research (6 papers), Extracellular vesicles in disease (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), MicroRNA in disease regulation (2 papers), Signaling Pathways in Disease (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Health Informatics (17 citations), Nephrology (30 citations), Critical Care and Intensive Care Medicine (14 citations), Pulmonary and Respiratory Medicine (82 citations) and Epidemiology (83 citations). Ri Tang has collaborated with scholars based in China, Netherlands and Germany. Frequent co-authors include Yuan Gao, Shuya Mei, Shunpeng Xing, Qiaoyi Xu, Hongxing Liu, Bi Cheng Liu, Kun Ling, Zhengyu He, Lin Lv and Xiong Z. Ruan. Their work appears in journals such as Heliyon, International Journal of Medical Sciences, The International Journal of Biochemistry & Cell Biology, Shock and Experimental & Molecular 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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