Ling Xia

786 citations
17 papers · 617 indexed · h-index 11

Impact in

Papers in

Ling Xia

17 papers receiving 599 citations

Peers

Ling Xia
Comparison fields: 5 of 77
  • Endocrine and Autonomic Systems 60
  • Cellular and Molecular Neuroscience 129
  • Physiology 28
  • Psychiatry and Mental health 85
  • Molecular Biology 326
Replace Yvonne Kong with:
Yvonne Kong United States
Gopesh Srivastava Hong Kong
Mei‐Chuan Huang United States
Lucien Gazi Switzerland
Yoshiko Aoki Japan
Michael Gallagher Ireland
F Stivala Italy
Prasad V. Phatarpekar United States
M. G. Juarranz Spain
Mei Zheng South Korea
Ling Xia relative to Yvonne Kong United States Yvonne Kong's profile →
Citations per field
00.5×2.6×
Yvonne Kong · 1×
Citations per year

Countries citing papers authored by Ling Xia

Since Specialization
Citations

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

Fields of papers citing papers by Ling Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20211
2 201620
3 20153
4 200911
5 2008122
6 20081
7 200736
8
Dasatinib blocks the growth, migration, and invasion of breast cancer cells through inhibition of Src family kinases
20071
9 20074
10 20052
11 200333
12 200297
13 200034
14 199913
15 1999118
16 199898
17 199523

About Ling Xia

Ling Xia is a scholar working on Biological Psychiatry, Dermatology, Nephrology, Immunology and Allergy and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 617 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (3 papers), Neuropeptides and Animal Physiology (3 papers), DNA Repair Mechanisms (2 papers), Cancer and Skin Lesions (2 papers), RNA modifications and cancer (2 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers), RNA and protein synthesis mechanisms (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (60 citations), Cellular and Molecular Neuroscience (129 citations), Physiology (28 citations), Psychiatry and Mental health (85 citations) and Molecular Biology (326 citations). Ling Xia has collaborated with scholars based in United States, Russia and India. Frequent co-authors include Eric M. Parker, Or Gozani, Biplab Das, Yung Chyung, Robin Reed, Ronald A. DeLellis, M. Guzzi, Deborra Mullins, Janci L. Chunn and Karen Uray. Their work appears in journals such as Pediatric Dermatology, European Journal of Pharmacology, Cancer Research, Endocrine Pathology and American Journal of Dermatopathology.

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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