Ying Xia

15.0k citations
314 papers · 11.4k · 1 hit paper · h-index 58

Impact in

Papers in

Ying Xia

299 papers receiving 11.3k citations

Ying Xia's Hit Papers

Drug repurposing for cancer therapy 2024 · 214 citations
2140+1Years since publication50100150200

Peers

Ying Xia
Comparison fields: 5 of 188
  • Cellular and Molecular Neuroscience 1.9k
  • Genetics 852
  • Developmental Neuroscience 318
  • Neurology 643
  • Endocrine and Autonomic Systems 446
Replace Zhen Wang with:
Zhen Wang China
Seung‐Hoon Lee South Korea
Sruti Shiva United States
Dae Won Kim South Korea
Xiaokun Li China
Guanghui Wang China
Yongqing Zhang China
Lei Zhang China
Jian Xiao China
Jianguo Chen China
Ying Xia relative to Zhen Wang China Zhen Wang's profile →
Citations per field
00.5×2.7×
Zhen Wang · 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 314 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007498
2 2009350
3 2019287
4 2003281
5 2006277
6 2000250
7 2007248
8 2019248
9 2019247
10 2012246
11 2010241
12 2012225
13 2018216
14 2008215
15
Drug repurposing for cancer therapy
Hit paper breakdown →
2024214
16 2017148
17 2018143
18 1991140
19 2003134
20 2019131

About Ying Xia

Ying Xia is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Oncology and Cancer Research, having authored 314 papers that have together received 11.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (42 papers), Ion channel regulation and function (24 papers), Neuropeptides and Animal Physiology (19 papers), Acupuncture Treatment Research Studies (16 papers), Pharmacological Receptor Mechanisms and Effects (12 papers), Neuroscience of respiration and sleep (11 papers), Cancer Cells and Metastasis (10 papers) and Mesenchymal stem cell research (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Genetics (852 citations), Developmental Neuroscience (318 citations), Neurology (643 citations) and Endocrine and Autonomic Systems (446 citations). Ying Xia has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Gabriel G. Haddad, Nikolaos G. Frangogiannis, Dongman Chao, Peng Zhao, Yilin Yang, Junhui Zhang, Kenneth Banasiak, Marcin Dobaczewski, Carlos Gonzalez‐Quesada and Xiaojun Kuang. Their work appears in journals such as Scientific Reports, Brain Research, Evidence-based Complementary and Alternative Medicine, PLoS ONE 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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