Haolan Wang

1.5k citations
9 papers · 967 · 1 hit paper · h-index 6

Impact in

Papers in

    • Cell death mechanisms and regulation 5
    • RNA Interference and Gene Delivery 2
    • Ubiquitin and proteasome pathways 1
    • Epigenetics and DNA Methylation 1
    • Bacterial biofilms and quorum sensing 1
    • Cancer-related Molecular Pathways 4

Haolan Wang

9 papers receiving 957 citations

Haolan Wang's Hit Papers

Targeting p53 pathways: mechanisms, structures and advances in therapy 2023 · 560 citations
5600+1+2Years since publication100200300400500

Peers

Haolan Wang
Comparison fields: 5 of 93
  • Cancer Research 164
  • Oncology 232
  • Molecular Biology 501
  • Hematology 54
  • Immunology 80
Replace Jue Yang with:
Jue Yang China
Sarah T. Diepstraten Australia
Silke Radetzki Germany
Dan Zang China
Samuel A. Kerk United States
Ji Nie China
Michele Tavecchio United States
Shuang Shang China
Rareş Drulă Romania
Haolan Wang relative to Jue Yang China Jue Yang's profile →
Citations per field
00.5×3.9×
Jue Yang · 1×
Citations per year

Countries citing papers authored by Haolan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haolan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Targeting p53 pathways: mechanisms, structures and advances in therapy
Hit paper breakdown →
2023560
2 2021219
3 202184
4 202369
5 202117
6 20238
7 20254
8 20244
9 20252

About Haolan Wang

Haolan Wang is a scholar working on Molecular Biology, Oncology, Pollution, Ecology and Health, Toxicology and Mutagenesis, having authored 9 papers that have together received 967 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Cancer-related Molecular Pathways (4 papers), RNA Interference and Gene Delivery (2 papers), Ubiquitin and proteasome pathways (1 paper), Epigenetics and DNA Methylation (1 paper), Hepatitis B Virus Studies (1 paper), Nanoparticle-Based Drug Delivery (1 paper) and Bacterial biofilms and quorum sensing (1 paper). The work is most often cited by research in Cancer Research (164 citations), Oncology (232 citations), Molecular Biology (501 citations), Hematology (54 citations) and Immunology (80 citations). Haolan Wang has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Yongheng Chen, Hudie Wei, Ming Guo, Ming Guo, Shuyan Dai, Ye Zhang, Lingzhi Qu, Longying Jiang, Zhuchu Chen and Jun Li. Their work appears in journals such as Nature Communications, Journal of Hematology & Oncology, Signal Transduction and Targeted Therapy, Cancer Immunology Immunotherapy and Computational and Structural Biotechnology Journal.

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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