Weide Zhong

6.8k citations
220 papers · 4.8k · h-index 40

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • Signaling Pathways in Disease

Papers in

Weide Zhong

211 papers receiving 4.7k citations

Peers

Weide Zhong
Comparison fields: 5 of 129
  • Cancer Research 1.3k
  • Molecular Biology 2.4k
  • Pulmonary and Respiratory Medicine 875
  • Oncology 682
  • Immunology 423
Replace Alexander T.H. Wu with:
Alexander T.H. Wu Taiwan
Keiji Shimada Japan
Pei‐Yi Chu Taiwan
Pernilla Wikström Sweden
Gang Yin China
Mohammad Obaidul Hoque United States
Sankar Addya United States
Yinghao Sun China
Wei Guo China
Hisanori Uehara Japan
Weide Zhong relative to Alexander T.H. Wu Taiwan Alexander T.H. Wu's profile →
Citations per field
00.5×1.7×
Alexander T.H. Wu · 1×
Citations per year

Countries citing papers authored by Weide Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Weide Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 220 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018155
2 2009148
3 2009126
4 2008110
5 2015103
6 201698
7 201896
8 200893
9 200889
10 201389
11 202187
12 201682
13 201664
14 201463
15 201258
16 200857
17 202155
18 200952
19 201651
20 202051

About Weide Zhong

Weide Zhong is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Surgery, having authored 220 papers that have together received 4.8k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (29 papers), Cancer, Hypoxia, and Metabolism (15 papers), Signaling Pathways in Disease (15 papers), MicroRNA in disease regulation (14 papers), Cancer-related gene regulation (13 papers), Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (11 papers) and Bladder and Urothelial Cancer Treatments (11 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (2.4k citations), Pulmonary and Respiratory Medicine (875 citations), Oncology (682 citations) and Immunology (423 citations). Weide Zhong has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Zhaodong Han, Huichan He, Funeng Jiang, Yuxiang Liang, Qi-Shan Dai, Jianguo Zhu, Xue‐cheng Bi, Chin‐Lee Wu, Chao Cai and Yangjia Zhuo. Their work appears in journals such as Medical Oncology, Clinical and investigative medicine, Frontiers in Oncology, Pathology & Oncology Research and Cancer Letters.

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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