Zhongjun Wu

2.5k citations
116 papers · 1.8k indexed · h-index 24

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation

Papers in

    • MicroRNA in disease regulation 29
    • Cancer-related molecular mechanisms research 26
    • Liver Disease and Transplantation 12

Zhongjun Wu

112 papers receiving 1.8k citations

Peers

Zhongjun Wu
Comparison fields: 5 of 91
  • Cancer Research 669
  • Hepatology 336
  • Immunology 384
  • Molecular Biology 1000
  • Epidemiology 387
Replace Guoshan Ding with:
Guoshan Ding China
Yongxiang Xia China
Satoshi Kuboki Japan
Haofeng Ji United States
Christian D. Fingas Germany
Yan Liang China
Mingxuan Feng China
Ryotaro Sakamori Japan
Jian Gu China
Sang‐Hyun Song South Korea
Zhongjun Wu relative to Guoshan Ding China Guoshan Ding's profile →
Citations per field
00.5×
Guoshan Ding · 1×
Citations per year

Countries citing papers authored by Zhongjun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhongjun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20254
3 20251
4 20252
5 20250
6 20257
7 20253
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11 20237
12 20233
13 20223
14 20202
15 202021
16 20188
17 201812
18 201848
19 201778
20
[Over-expression of transcription factor 21 inhibits the proliferation and migration and promotes apoptosis of SMMC-7721 cells].
20152

About Zhongjun Wu

Zhongjun Wu is a scholar working on Cancer Research, Hepatology, Immunology, Molecular Biology and Geriatrics and Gerontology, having authored 116 papers that have together received 1.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (29 papers), Cancer-related molecular mechanisms research (26 papers), Organ Transplantation Techniques and Outcomes (18 papers), Circular RNAs in diseases (16 papers), RNA modifications and cancer (14 papers), Liver Disease and Transplantation (12 papers), Liver Disease Diagnosis and Treatment (11 papers) and Autophagy in Disease and Therapy (7 papers). The work is most often cited by research in Cancer Research (669 citations), Hepatology (336 citations), Immunology (384 citations), Molecular Biology (1000 citations) and Epidemiology (387 citations). Zhongjun Wu has collaborated with scholars based in China, United States and Panama. Frequent co-authors include Xufu Wei, Daofeng Zheng, Tong Mou, Zuotian Huang, Chengyong Tang, Ai Shen, Junliang Pu, Rui Liu, Yunhai Luo and Guosheng Ren. Their work appears in journals such as Frontiers in Immunology, Biochemical and Biophysical Research Communications, International Immunopharmacology, Acta Biochimica et Biophysica Sinica and Oncotarget.

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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