Yuhan Tang

4.1k total citations · 2 hit papers
102 papers, 3.0k citations indexed

About

Yuhan Tang is a scholar working on Molecular Biology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Yuhan Tang has authored 102 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 28 papers in Epidemiology and 21 papers in Pathology and Forensic Medicine. Recurrent topics in Yuhan Tang's work include Liver Disease Diagnosis and Treatment (17 papers), Alcohol Consumption and Health Effects (14 papers) and Diet, Metabolism, and Disease (10 papers). Yuhan Tang is often cited by papers focused on Liver Disease Diagnosis and Treatment (17 papers), Alcohol Consumption and Health Effects (14 papers) and Diet, Metabolism, and Disease (10 papers). Yuhan Tang collaborates with scholars based in China, South Korea and United States. Yuhan Tang's co-authors include Ping Yao, Ying Zhao, Chao Gao, Guibin Mei, Liegang Liu, Xiaoping Guo, Chunjie Jiang, Shufen Peng, Li Chen and Tianqi Tan and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yuhan Tang

96 papers receiving 3.0k citations

Hit Papers

Association between the Oxidative Balance Score and Telom... 2022 2026 2023 2024 2022 2023 40 80 120

Peers

Yuhan Tang
Comparison fields: 5 of 144
  • Molecular Biology 787
  • Epidemiology 673
  • Physiology 448
  • Endocrinology, Diabetes and Metabolism 352
  • Pulmonary and Respiratory Medicine 288
Replace Ying Wan with:
Ying Wan China
İbrahim Hanifi Özercan Türkiye
Chiang‐Ting Chien Taiwan
Ningjun Li United States
Xian Zhang China
Jelena Kotur‐Stevuljević Serbia
Nicholas Houstis United States
Mi Kyung Kim South Korea
Yan‐Ling Wu China
Ying Wan China View profile →
Citations per field, relative to Yuhan Tang
Yuhan Tang · 1×
Citations per year, relative to Yuhan Tang
Yuhan Tang · 1×

Countries citing papers authored by Yuhan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yuhan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuhan Tang. A scholar is included among the top collaborators of Yuhan Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuhan Tang. Yuhan Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 14
3 5
4 9
5 3
6 4
7 2
8 4
9 14
10 3
11 8
12 5
13 13
14 23
15 6
16 22
17 11
18 16
19 1
20 81

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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