Xiaolan Yang

32 papers receiving 730 citations

Peers

Xiaolan Yang
Comparison fields: 5 of 111
  • Biochemistry 118
  • Rehabilitation 90
  • Pharmacology 78
  • Nephrology 48
  • Complementary and alternative medicine 53
Replace Lanying Chen with:
Lanying Chen China
Dan Shi China
J A Knight United States
Dhamodharan Umapathy India
Lynda Bourebaba Poland
Wei Liang China
Romuald Champy France
Ou Wang China
Huijeong Ahn South Korea
Qian Mu China
Xiaolan Yang relative to Lanying Chen China Lanying Chen's profile →
Citations per field
00.5×5×10×12.9×
Lanying Chen · 1×
Citations per year

Countries citing papers authored by Xiaolan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010226
2 202085
3 201952
4 200239
5 201336
6 201936
7 201830
8 201127
9 201426
10 201519
11 202118
12 200217
13 201417
14 202117
15 202116
16 202216
17 202315
18
Study on Pollen Transportation by Rivers
199513
19 202112
20
Predictors of outcome in the surgical treatment for epilepsy.
20118

About Xiaolan Yang

Xiaolan Yang is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Pulmonary and Respiratory Medicine, Biotechnology and Biochemistry, having authored 35 papers that have together received 756 indexed citations. Recurring topics across this work include Lichen and fungal ecology (2 papers), RNA Interference and Gene Delivery (2 papers), Geology and Paleoclimatology Research (2 papers), Phytochemicals and Antioxidant Activities (2 papers), Ferroptosis and cancer prognosis (2 papers), Animal Nutrition and Physiology (2 papers), Cancer Research and Treatments (2 papers) and Mangiferin and Mango Extracts (1 paper). The work is most often cited by research in Biochemistry (118 citations), Rehabilitation (90 citations), Pharmacology (78 citations), Nephrology (48 citations) and Complementary and alternative medicine (53 citations). Xiaolan Yang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Lei Yang, Xuping Wang, Lei Yang, Zhaofan Xia, Yongjun Zheng, Shichu Xiao, Futing Shu, Wei Pei, Chongge You and Chunxia Wang. Their work appears in journals such as Journal of the Science of Food and Agriculture, Artificial Cells Nanomedicine and Biotechnology, Journal of Craniofacial Surgery, Vegetation History and Archaeobotany and Journal of Vibration and Control.

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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