Ting Yang

2.2k citations
99 papers · 1.6k · h-index 24

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 7
    • Sepsis Diagnosis and Treatment 4
    • Metabolomics and Mass Spectrometry Studies 4

Ting Yang

91 papers receiving 1.6k citations

Peers

Ting Yang
Comparison fields: 5 of 148
  • Critical Care and Intensive Care Medicine 67
  • Epidemiology 335
  • Physiology 251
  • Oncology 261
  • Endocrine and Autonomic Systems 58
Replace Jian Chen with:
Jian Chen China
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Κimon Stamatelopoulos Greece
Hong Yan China
Laura Piqueras Spain
Ping Liu China
Karol Kamiński Poland
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Ting Yang relative to Jian Chen China Jian Chen's profile →
Citations per field
00.5×1.5×2.3×
Jian Chen · 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 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012131
2 201485
3 201569
4 201958
5
Diagnostic performance of lung ultrasound in the diagnosis of pneumonia: a bivariate meta-analysis.
201456
6 201549
7 201547
8 202045
9 202141
10 201638
11 201035
12 201534
13 202134
14 201231
15 201930
16 201329
17 201328
18 201728
19 201627
20 201526

About Ting Yang

Ting Yang is a scholar working on Epidemiology, Molecular Biology, Surgery, Physiology and Oncology, having authored 99 papers that have together received 1.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Traditional Chinese Medicine Analysis (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Cancer Risks and Factors (4 papers), Sepsis Diagnosis and Treatment (4 papers), Obstructive Sleep Apnea Research (3 papers), Nutritional Studies and Diet (3 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (67 citations), Epidemiology (335 citations), Physiology (251 citations), Oncology (261 citations) and Endocrine and Autonomic Systems (58 citations). Ting Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Fuqiang Wen, Yimin Cui, Ying Zhou, Yongchun Shen, Chun Wan, Shengchun Liu, Yuan Yang, Shurui Wang, Xiaofei Guo and Zenglin Liao. Their work appears in journals such as British Journal of Clinical Pharmacology, Medicine, Supportive Care in Cancer, Orphanet Journal of Rare Diseases and Frontiers in Immunology.

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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