Xiaoning Tan

26 papers receiving 490 citations

Peers

Xiaoning Tan
Comparison fields: 5 of 84
  • Biological Psychiatry 47
  • Behavioral Neuroscience 23
  • Neurology 48
  • Geriatrics and Gerontology 19
  • Developmental Neuroscience 21
Replace Weixi Wang with:
Weixi Wang China
Magdalena Gewartowska Poland
Jingyi Du China
Ralf G. Rempe United States
Juan Shao China
Shahram Darabi Iran
Qu Xing China
João Brás Portugal
Sung Eun Wang South Korea
Ahmad Salamian Iran
Xiaoning Tan relative to Weixi Wang China Weixi Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaoning Tan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoning Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021115
2 201872
3 201939
4 201932
5 202132
6 201928
7 202027
8 202322
9 201922
10 202122
11 201815
12 20239
13 20219
14 20238
15 20247
16 20246
17 20176
18 20235
19 20244
20 20234

About Xiaoning Tan

Xiaoning Tan is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Neurology and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 493 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Tryptophan and brain disorders (3 papers), Cancer-related molecular mechanisms research (3 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers), Cancer, Lipids, and Metabolism (2 papers), Circular RNAs in diseases (2 papers) and Phytochemistry and Biological Activities (2 papers). The work is most often cited by research in Biological Psychiatry (47 citations), Behavioral Neuroscience (23 citations), Neurology (48 citations), Geriatrics and Gerontology (19 citations) and Developmental Neuroscience (21 citations). Xiaoning Tan has collaborated with scholars based in China, Egypt and United States. Frequent co-authors include Benson O. A. Botchway, Marong Fang, Zhiying Hu, Yongmin Li, Hui Chen, Shi Hu, Ping Wu, Lihong Peng, Xiaoxue Du and Qiannan Ren. Their work appears in journals such as Progress in Neuro-Psychopharmacology and Biological Psychiatry, Scientific Reports, Frontiers in Psychiatry, Biochemical and Biophysical Research Communications and Combinatorial Chemistry & High Throughput Screening.

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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