Huiting Wei

689 citations
12 papers · 546 · h-index 8

Impact in

  • Oncology top 10%
    • PARP inhibition in cancer therapy
    • Phagocytosis and Immune Regulation
    • Immune cells in cancer
    • interferon and immune responses
    • Toxin Mechanisms and Immunotoxins

Papers in

    • Cell death mechanisms and regulation 2
    • DNA Repair Mechanisms 1
    • Ubiquitin and proteasome pathways 1

Huiting Wei

12 papers receiving 538 citations

Peers

Huiting Wei
Comparison fields: 5 of 72
  • Oncology 205
  • Immunology 142
  • Molecular Biology 328
  • Cancer Research 57
  • Geriatrics and Gerontology 9
Replace Kuldeep S. Attri with:
Kuldeep S. Attri United States
José Luis Linares France
Rui Tian China
Jeffrey C. Rathmell United States
Cristina Bértolo Spain
Xiuyan Yu China
Claudia Baikalov United States
Yujia Xu China
Zhuanchang Wu China
Suzel Davanture France
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 2016236
2 201796
3 201776
4 201842
5 201741
6 202215
7 201313
8 201613
9 20204
10 20254
11 20223
12 20243

About Huiting Wei

Huiting Wei is a scholar working on Molecular Biology, Oncology, Surgery, Endocrinology and Immunology, having authored 12 papers that have together received 546 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (2 papers), Escherichia coli research studies (2 papers), Bladder and Urothelial Cancer Treatments (1 paper), DNA Repair Mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper), NF-κB Signaling Pathways (1 paper), Cancer Mechanisms and Therapy (1 paper) and Ureteral procedures and complications (1 paper). The work is most often cited by research in Oncology (205 citations), Immunology (142 citations), Molecular Biology (328 citations), Cancer Research (57 citations) and Geriatrics and Gerontology (9 citations). Huiting Wei has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Junying Yuan, Zhi Yao, Kezhou Zhu, Ying Li, Shao‐Cong Sun, Huibing Wang, Huyan Meng, Xingyan Li, Adnan K. Mookhtiar and Kangyun Dong. Their work appears in journals such as Genomics Proteomics & Bioinformatics, Evidence-based Complementary and Alternative Medicine, Oncotarget, Experimental and Clinical Endocrinology & Diabetes and Frontiers in Microbiology.

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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