Ting Yang

859 citations
50 papers · 583 · h-index 13

Impact in

Papers in

Ting Yang

48 papers receiving 575 citations

Peers

Ting Yang
Comparison fields: 5 of 101
  • Family Practice 29
  • Biochemistry 41
  • Pulmonary and Respiratory Medicine 126
  • Complementary and alternative medicine 27
  • Cancer Research 43
Replace Beena P. Patel with:
Beena P. Patel India
Fatemeh Saghafi Iran
Xiaoye Li China
Samir Malhotra India
Lingli Guo China
Meng Chen China
Nalini Ganesan India
Hussain Ali Pakistan
Shahid Masood Raza Pakistan
Stanislav Kotlyarov Russia
Ting Yang relative to Beena P. Patel India Beena P. Patel's profile →
Citations per field
00.5×8.2×
Beena P. Patel · 1×
Citations per year

Countries citing papers authored by Ting Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ting Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021145
2 201450
3 201746
4 202233
5 202026
6 202326
7 202320
8 202116
9
Anxiety and Depression in Patients with Chronic Obstructive Pulmonary Disease in China: Results from the China Pulmonary Health [CPH] Study
202115
10 202015
11 202015
12 202212
13 202112
14 202110
15 201910
16 202310
17 202310
18 202210
19 202210
20 20248

About Ting Yang

Ting Yang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Physiology, Cancer Research and Health, Toxicology and Mutagenesis, having authored 50 papers that have together received 583 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (11 papers), Air Quality and Health Impacts (4 papers), Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Sulfur Compounds in Biology (3 papers) and Traditional Chinese Medicine Analysis (3 papers). The work is most often cited by research in Family Practice (29 citations), Biochemistry (41 citations), Pulmonary and Respiratory Medicine (126 citations), Complementary and alternative medicine (27 citations) and Cancer Research (43 citations). Ting Yang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qi Qiao, Conglian Yang, Zhiping Zhang, Kexin Cui, Li Kong, Chen Wang, Fuqiang Wen, Yongchun Shen, Songjiao Li and Dan Cheng. Their work appears in journals such as Frontiers in Medicine, Therapeutic Advances in Respiratory Disease, Sensors and Actuators B Chemical, Frontiers in Pharmacology and Genes.

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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