Yuting Yang

585 citations
44 papers · 370 · h-index 10

Impact in

    • Glaucoma and retinal disorders
    • Retinal Diseases and Treatments
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing

Papers in

Yuting Yang

40 papers receiving 358 citations

Peers

Yuting Yang
Comparison fields: 5 of 80
  • Ophthalmology 73
  • Infectious Diseases 107
  • Hepatology 34
  • Epidemiology 106
  • Obstetrics and Gynecology 20
Replace Suman Kalyan Paine with:
Suman Kalyan Paine India
Jinhu Wang China
Daniele Colombo Italy
János Szederjesi Romania
Eleonora Albano Italy
Samuel Kampondeni Malawi
Jochen Pfirstinger Germany
Yuqiang Huang China
Qing Yuan China
Pierre Lefebvre Belgium
Yuting Yang relative to Suman Kalyan Paine India Suman Kalyan Paine's profile →
Citations per field
00.5×6.8×
Suman Kalyan Paine · 1×
Citations per year

Countries citing papers authored by Yuting Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202088
2 201162
3 202030
4 202414
5 202014
6 202013
7 202211
8 20249
9 20209
10 20189
11 20229
12 20209
13 20227
14 20247
15 20237
16 20246
17 20196
18 20236
19 20255
20 20205

About Yuting Yang

Yuting Yang is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Immunology and Oncology, having authored 44 papers that have together received 370 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Glaucoma and retinal disorders (3 papers), Wound Healing and Treatments (3 papers), Retinal Diseases and Treatments (3 papers), Autophagy in Disease and Therapy (3 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Ophthalmology (73 citations), Infectious Diseases (107 citations), Hepatology (34 citations), Epidemiology (106 citations) and Obstetrics and Gynecology (20 citations). Yuting Yang has collaborated with scholars based in China, Taiwan and Singapore. Frequent co-authors include Yao Zhao, Ailong Huang, Xinghuai Sun, Li Dong, Shili Qiu, Mingjun Liu, Zhihua Lv, Lina Feng, Yan Li and Chengliang Zhu. Their work appears in journals such as Hepatology International, BMC Cancer, Inflammation Research, Virus Research and Clinical 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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