Xiao‐Han Tang

88 papers receiving 2.2k citations

Hit Papers

Retinoids, Retinoic Acid Receptors, and Cancer 2011 · 463 citations
4630+5+10Years since publication100200300400

Peers

Xiao‐Han Tang
Comparison fields: 5 of 124
  • Biochemistry 167
  • Cancer Research 250
  • Molecular Biology 1.1k
  • Nutrition and Dietetics 205
  • Oncology 321
Replace Xi Yuan with:
Xi Yuan Sweden
Vassilis Zoumpourlis Greece
Masahiro Oka Japan
Da‐Woon Jung South Korea
Siwanon Jirawatnotai Thailand
Elena Donetti Italy
Darren R. Williams South Korea
Yingjie Xu China
Huiling Liu China
Adriana Borriello Italy
Xiao‐Han Tang relative to Xi Yuan Sweden Xi Yuan's profile →
Citations per field
00.5×1.7×
Xi Yuan · 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 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Retinoids, Retinoic Acid Receptors, and Cancer
Hit paper breakdown →
2011463
2 2004305
3 2001237
4 200895
5 201588
6 201440
7 202038
8 202036
9 200935
10 200832
11 201632
12 201931
13 201929
14 201324
15 201524
16 201524
17 199923
18 202221
19 201921
20 201920

About Xiao‐Han Tang

Xiao‐Han Tang is a scholar working on Molecular Biology, Genetics, Epidemiology, Surgery and Oncology, having authored 93 papers that have together received 2.2k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (19 papers), Diabetes and associated disorders (12 papers), Pancreatic function and diabetes (10 papers), Diabetes Management and Research (9 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Autophagy in Disease and Therapy (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Biochemistry (167 citations), Cancer Research (250 citations), Molecular Biology (1.1k citations), Nutrition and Dietetics (205 citations) and Oncology (321 citations). Xiao‐Han Tang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lorraine J. Gudas, Neil F. Shay, Beatrice S. Knudsen, Satish K. Tickoo, Debra L. Bemis, Steven E. Trasino, Theresa Scognamiglio, José Jessurun, Tuo Zhang and Ann M. Stewart‐Akers. Their work appears in journals such as Journal of Experimental Botany, Annals of Translational Medicine, Journal of Pharmacology and Experimental Therapeutics, Frontiers in Plant Science and Nutrients.

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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