Huiting Wei

674 citations
12 papers · 524 · h-index 8

Impact in

    • PARP inhibition in cancer therapy
    • Phagocytosis and Immune Regulation
    • Immune cells in cancer
    • interferon and immune responses

Papers in

    • Cell death mechanisms and regulation 2
    • Bioactive Natural Diterpenoids Research 1
    • Phytochemical compounds biological activities 1
    • Inflammatory Biomarkers in Disease Prognosis 1

Huiting Wei

12 papers receiving 518 citations

Peers

Huiting Wei
Comparison fields: 5 of 72
  • Oncology 211
  • Immunology 148
  • Molecular Biology 330
  • Cancer Research 60
  • Endocrinology 15
Replace Kuldeep S. Attri with:
Kuldeep S. Attri United States
Wagner R. Montor Brazil
Yana Li United States
Coral Ampurdanés Spain
Seok‐Ho Kim South Korea
José Luis Linares France
Magdalena B. Flak United Kingdom
Yongjie Zhu China
Yoshiko Takata Japan
Cristina Bértolo Spain
Huiting Wei relative to Kuldeep S. Attri United States Kuldeep S. Attri's profile →
Citations per field
00.5×5.3×
Kuldeep S. Attri · 1×
Citations per year

Countries citing papers authored by Huiting Wei

Since Specialization
Citations

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

Fields of papers citing papers by Huiting Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2016228
2 201794
3 201772
4 201841
5 201739
6 202215
7 201313
8 201613
9 20223
10 20203
11 20252
12 20241

About Huiting Wei

Huiting Wei is a scholar working on Molecular Biology, Oncology, Surgery, Neurology and Endocrinology, having authored 12 papers that have together received 524 indexed citations. Recurring topics across this work include Escherichia coli research studies (2 papers), Cell death mechanisms and regulation (2 papers), Bioactive Natural Diterpenoids Research (1 paper), Phagocytosis and Immune Regulation (1 paper), Phytochemical compounds biological activities (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Tissue Engineering and Regenerative Medicine (1 paper) and Bladder and Urothelial Cancer Treatments (1 paper). The work is most often cited by research in Oncology (211 citations), Immunology (148 citations), Molecular Biology (330 citations), Cancer Research (60 citations) and Endocrinology (15 citations). Huiting Wei has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Junying Yuan, Zhi Yao, Xingyan Li, Ying Li, Huibing Wang, Shao‐Cong Sun, Kezhou Zhu, Huyan Meng, Adnan K. Mookhtiar and Kangyun Dong. Their work appears in journals such as Journal of drug targeting, The Journal of Pathology, Cell Death and Disease, Oncotarget and Frontiers in Immunology.

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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