Xiao‐Han Tang

95 papers receiving 2.5k citations

Peers

Xiao‐Han Tang
Comparison fields: 5 of 106
  • Otorhinolaryngology 194
  • Periodontics 94
  • Nutrition and Dietetics 183
  • Molecular Biology 672
  • Endocrinology, Diabetes and Metabolism 167
Replace Li Mao with:
Li Mao China
Lieve Verlinden Belgium
Sandeep Kumar United States
Hong‐Lin Chan Taiwan
Mi Ra Kim South Korea
Davide Sartini Italy
Wen‐Tsan Chang Taiwan
Hua Yang China
Huakan Zhao China
Sylvie Marleau Canada
Xiao‐Han Tang relative to Li Mao China Li Mao's profile →
Citations per field
00.5×2×3×4×4.7×
Li Mao · 1×
Citations per year

Countries citing papers authored by Xiao‐Han Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Han Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiao‐Han 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 Xiao‐Han Tang Line = papers co-authored together Xiao‐Han Tang 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 2011500
2 2004327
3 2001256
4 2020139
5 2008106
6 201593
7 201445
8 202039
9 202039
10 201637
11 201937
12 200935
13 202234
14 200832
15 201931
16 201529
17 201327
18 202227
19 201526
20 201824

About Xiao‐Han Tang

Xiao‐Han Tang is a scholar working on Otorhinolaryngology, Reproductive Medicine, Genetics, Molecular Biology and Pathology and Forensic Medicine, having authored 99 papers that have together received 2.6k indexed citations. Recurring topics across this work include Diabetes and associated disorders (13 papers), Retinoids in leukemia and cellular processes (12 papers), Head and Neck Cancer Studies (10 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Epigenetics and DNA Methylation (6 papers), Ovarian cancer diagnosis and treatment (5 papers), Alcohol Consumption and Health Effects (5 papers) and Oral Health Pathology and Treatment (5 papers). The work is most often cited by research in Otorhinolaryngology (194 citations), Periodontics (94 citations), Nutrition and Dietetics (183 citations), Molecular Biology (672 citations) and Endocrinology, Diabetes and Metabolism (167 citations). Xiao‐Han Tang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Lorraine J. Gudas, Neil F. Shay, Satish K. Tickoo, Debra L. Bemis, Beatrice S. Knudsen, Steven E. Trasino, Theresa Scognamiglio, José Jessurun, Zhiguang Zhou and Xia Li. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Annals of Translational Medicine, Journal of Experimental Botany, International Journal of Molecular Sciences and The FASEB Journal.

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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