Ying Xia

302 papers receiving 12.4k citations

Ying Xia's Hit Papers

Drug repurposing for cancer therapy 2024 · 266 citations
2660+1Years since publication50100150200250

Peers

Ying Xia
Comparison fields: 5 of 174
  • Genetics 988
  • Cellular and Molecular Neuroscience 1.4k
  • Complementary and alternative medicine 690
  • Neurology 538
  • Endocrine and Autonomic Systems 270
Replace Zhong Chen with:
Zhong Chen China
Zhen Wang China
Seung‐Hoon Lee South Korea
Gilles J. Guillemin Australia
Jeong Hun Kim South Korea
Jeremy N. Skepper United Kingdom
So‐Young Park South Korea
Yau‐Huei Wei Taiwan
Hideo Kimura Japan
Xiaokun Li China
Ying Xia relative to Zhong Chen China Zhong Chen's profile →
Citations per field
00.5×2×2.8×
Zhong Chen · 1×
Citations per year

Countries citing papers authored by Ying Xia

Since Specialization
Citations

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

Fields of papers citing papers by Ying Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 321 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007535
2 2009371
3 2003310
4 2006295
5 2019294
6 2006284
7
Drug repurposing for cancer therapy
Hit paper breakdown →
2024266
8 2007262
9 2010260
10 2019259
11 2000258
12 2012257
13 2019253
14 2012249
15 2008226
16 2018216
17 2017159
18 2018154
19 1991150
20 2019142

About Ying Xia

Ying Xia is a scholar working on Cellular and Molecular Neuroscience, Complementary and alternative medicine, Molecular Biology, Neurology and Genetics, having authored 321 papers that have together received 12.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (36 papers), Acupuncture Treatment Research Studies (28 papers), Ion channel regulation and function (17 papers), Parkinson's Disease Mechanisms and Treatments (14 papers), Mesenchymal stem cell research (13 papers), Neuroscience and Neuropharmacology Research (12 papers), Neonatal and fetal brain pathology (10 papers) and Water Treatment and Disinfection (9 papers). The work is most often cited by research in Genetics (988 citations), Cellular and Molecular Neuroscience (1.4k citations), Complementary and alternative medicine (690 citations), Neurology (538 citations) and Endocrine and Autonomic Systems (270 citations). Ying Xia has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Gabriel George Haddad, Dongman Chao, Nikolaos Georgios Frangogiannis, Peng Zhao, Yilin Yang, Kenneth J. Banasiak, Wei-Lin Jin, Marcin Piotr Dobaczewski, Carlos J González-Quesada and Xiaozhou He. Their work appears in journals such as Scientific Reports, Brain Research, Evidence-based Complementary and Alternative Medicine, Cellular Physiology and Biochemistry and International Journal of Molecular Sciences.

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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