Xiaolan Ling

732 citations
7 papers · 656 · h-index 3

Impact in

  • Oncology top 10%
    • Cancer-related Molecular Pathways
    • Asymmetric Synthesis and Catalysis
    • Synthesis and biological activity
    • Multicomponent Synthesis of Heterocycles

Papers in

Xiaolan Ling

4 papers receiving 635 citations

Peers

Xiaolan Ling
Comparison fields: 5 of 46
  • Oncology 290
  • Organic Chemistry 147
  • Computational Theory and Mathematics 46
  • Molecular Biology 162
  • Genetics 12
Replace Andrew M. Haidle with:
Andrew M. Haidle United States
Sita Kugel Desmoulin United States
Kai Yuan China
Catherine J. Drummond United Kingdom
Min‐Wu Chao Taiwan
Ahmed S.A. Mady United States
Somsundaram N. Chettiar United States
Andrii Monastyrskyi United States
Konstantinos Kiakos United Kingdom
Bilal Farooqi United States
Xiaolan Ling relative to Andrew M. Haidle United States Andrew M. Haidle's profile →
Citations per field
00.5×2×2.9×
Andrew M. Haidle · 1×
Citations per year

Countries citing papers authored by Xiaolan Ling

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolan Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Xiaolan Ling, 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 Ling Line = papers co-authored together Xiaolan Ling links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2008595
2 200835
3 202125
4 20131
5 20210
6 20210
7 20210

About Xiaolan Ling

Xiaolan Ling is a scholar working on Inorganic Chemistry, Management Information Systems, Pathology and Forensic Medicine, Strategy and Management and Oncology, having authored 7 papers that have together received 656 indexed citations. Recurring topics across this work include Crystal structures of chemical compounds (3 papers), Management and Optimization Techniques (1 paper), Management Systems and Quality Improvement (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Cell death mechanisms and regulation (1 paper), Quality and Supply Management (1 paper), Cancer-related Molecular Pathways (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Oncology (290 citations), Organic Chemistry (147 citations), Computational Theory and Mathematics (46 citations), Molecular Biology (162 citations) and Genetics (12 citations). Xiaolan Ling has collaborated with scholars based in United States, India and China. Frequent co-authors include Jianyong Chen, Jack Wu, Dajun Yang, Ayad M Al-Katib, Shaomeng Wang, Amro Aboukameel, Sanjeev Banerjee, Ramzi M. Mohammad, Zaneta Nikolovska‐Coleska and Yuan Sun. Their work appears in journals such as Cancer Biology & Therapy, Journal of Medicinal Chemistry, Proceedings of the National Academy of Sciences and Drug Discovery Today.

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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