Xiaolan Ling

741 citations
5 papers · 46 · h-index 3

Impact in

Papers in

    • Protein Degradation and Inhibitors 1
    • Cell death mechanisms and regulation 1
    • Chronic Lymphocytic Leukemia Research 1

Xiaolan Ling

4 papers receiving 45 citations

Peers

Xiaolan Ling
Comparison fields: 5 of 32
  • Genetics 8
  • Toxicology 2
  • Molecular Biology 30
  • Pathology and Forensic Medicine 4
  • Oncology 6
Replace Benjamin Schwalm with:
Benjamin Schwalm Germany
Paul Hale United States
Mengchi Wang United States
Longcheng Wang United States
Lars Custers Netherlands
Nusayhah Hudaa Gopee United Kingdom
Adrienne Greenough United States
Erle M. Holgersen Canada
Dominik Vonficht Germany
Péter Lichter Germany
Xiaolan Ling relative to Benjamin Schwalm Germany Benjamin Schwalm's profile →
Citations per field
00.5×1.5×
Benjamin Schwalm · 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 25 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

5 of 5 papers shown
#Work
1 200835
2 20227
3
A novel pan inhibitor of Bcl-2 and Mcl-1 apogossypolone (ApoG2) with superior stability and improved activity against human leukemia and lymphoma cells.
20073
4 20131
5 20250

About Xiaolan Ling

Xiaolan Ling is a scholar working on Molecular Biology, Genetics, Radiological and Ultrasound Technology, Clinical Psychology and Oncology, having authored 5 papers that have together received 46 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Telemedicine and Telehealth Implementation (1 paper), Quality and Safety in Healthcare (1 paper), Protein Degradation and Inhibitors (1 paper), COVID-19 and Mental Health (1 paper), Cell death mechanisms and regulation (1 paper) and Research in Cotton Cultivation (1 paper). The work is most often cited by research in Genetics (8 citations), Toxicology (2 citations), Molecular Biology (30 citations), Pathology and Forensic Medicine (4 citations) and Oncology (6 citations). Xiaolan Ling has collaborated with scholars based in United States, China and France. Frequent co-authors include Jianyong Chen, Ayad Al‐Katib, Sanjeev Banerjee, Amro Aboukameel, Zaneta Nikolovska‐Coleska, Ramzi M. Mohammad, Dajun Yang, Shaomeng Wang, Yuan Sun and Jack Wu. Their work appears in journals such as BMC Cancer, Cancer Biology & Therapy, Drug Discovery Today and Journal of Computer Assisted Learning.

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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