Conghui Han

522 citations
12 papers · 385 · h-index 6

Impact in

Papers in

    • Extracellular vesicles in disease 5
    • Circular RNAs in diseases 3
    • Kruppel-like factors research 1
    • MicroRNA in disease regulation 4
    • Cancer-related molecular mechanisms research 2

Conghui Han

11 papers receiving 382 citations

Peers

Conghui Han
Comparison fields: 5 of 66
  • Cancer Research 158
  • Nephrology 47
  • Molecular Biology 314
  • Genetics 45
  • Hepatology 20
Replace Shin-Long Wu with:
Shin-Long Wu Taiwan
Zhen Dong China
K-U Eckardt Germany
C. Bombardi Italy
Chunyue Feng China
Andrea Grund Germany
Xijuan Zhao China
Marta Fierro‐Fernández Spain
Marcus Alexandre Mendes Luz Brazil
Shenjian Luo China
Conghui Han relative to Shin-Long Wu Taiwan Shin-Long Wu's profile →
Citations per field
00.5×
Shin-Long Wu · 1×
Citations per year

Countries citing papers authored by Conghui Han

Since Specialization
Citations

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

Fields of papers citing papers by Conghui Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2017115
2 2017109
3 201695
4 201625
5 202214
6 202211
7 20155
8 20244
9 20253
10
Construction and Identification of Prokaryotic Expression Vector of Human TNF-related Apoptosis Inducing Ligand
20112
11 20242
12 20240

About Conghui Han

Conghui Han is a scholar working on Molecular Biology, Cancer Research, Nephrology, Genetics and Dermatology, having authored 12 papers that have together received 385 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), Cancer-related molecular mechanisms research (2 papers), Mesenchymal stem cell research (1 paper), Urologic and reproductive health conditions (1 paper), Kruppel-like factors research (1 paper) and Dermatologic Treatments and Research (1 paper). The work is most often cited by research in Cancer Research (158 citations), Nephrology (47 citations), Molecular Biology (314 citations), Genetics (45 citations) and Hepatology (20 citations). Conghui Han has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Longmei Xu, Zhen Dong, Xiaosong Chen, Dawei Li, Ming Zhang, Haoyu Wu, Tao Huang, Jianjun Zhang, Xiaodong Yuan and Ming Zhang. Their work appears in journals such as Cellular Physiology and Biochemistry, Biology of Reproduction, Cell Death and Disease, Journal of Controlled Release and Molecular Pharmacology.

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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