Cong Du

1.3k citations
28 papers · 853 indexed · h-index 17

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Cong Du

27 papers receiving 846 citations

Peers

Cong Du
Comparison fields: 5 of 103
  • Hepatology 100
  • Cancer Research 145
  • Genetics 95
  • Pathology and Forensic Medicine 113
  • Endocrinology, Diabetes and Metabolism 102
Replace Rui Ni with:
Rui Ni China
Joan Oliva United States
Zhidong Wang China
Yujiro Kida Japan
Ruifeng Teng United States
Longcheng Shang China
Hao Qin China
Jingzang Tao United States
Tian‐Huei Chu Taiwan
Xinmin Zhou China
Cong Du relative to Rui Ni China Rui Ni's profile →
Citations per field
00.5×3.7×
Rui Ni · 1×
Citations per year

Countries citing papers authored by Cong Du

Since Specialization
Citations

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

Fields of papers citing papers by Cong Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018112
2 202382
3 202174
4 201870
5 202067
6 201553
7 202052
8 202240
9 202037
10 202030
11 202126
12 201825
13 202121
14 201919
15 202318
16 201918
17 201818
18 201815
19 201615
20 201814

About Cong Du

Cong Du is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 28 papers that have together received 853 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (7 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), RNA modifications and cancer (4 papers), Mesenchymal stem cell research (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Liver physiology and pathology (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Hepatology (100 citations), Cancer Research (145 citations), Genetics (95 citations), Pathology and Forensic Medicine (113 citations) and Endocrinology, Diabetes and Metabolism (102 citations). Cong Du has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qi Zhang, Dongbo Qiu, Andy Peng Xiang, Mao Pang, Yan Xu, Yuan Feng, Nan Cai, Limin Rong, Qiuli Liu and Wanqi Zhang. Their work appears in journals such as Cell Death and Disease, Journal of Trace Elements in Medicine and Biology, Stem Cell Research & Therapy, Autophagy and Journal of Hepatology.

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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