An Jiang

567 citations
23 papers · 391 · h-index 12

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Liver physiology and pathology
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Circular RNAs in diseases 4
    • RNA Research and Splicing 2
    • Liver physiology and pathology 7
    • Liver Disease and Transplantation 6

An Jiang

21 papers receiving 383 citations

Peers

An Jiang
Comparison fields: 5 of 77
  • Hepatology 123
  • Cancer Research 80
  • Epidemiology 114
  • Molecular Biology 166
  • Critical Care and Intensive Care Medicine 12
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Citations per field
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Citations per year

Countries citing papers authored by An Jiang

Since Specialization
Citations

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

Fields of papers citing papers by An Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017112
2 201133
3 202028
4 201828
5 201924
6 201024
7 201222
8 201722
9 201620
10 202317
11
Overexpression of COX7RP promotes tumor growth and metastasis by inducing ROS production in hepatocellular carcinoma cells.
202013
12 201011
13 20189
14 20217
15 20226
16 20106
17 20185
18 20201
19 20241
20 20151

About An Jiang

An Jiang is a scholar working on Molecular Biology, Hepatology, Epidemiology, Cancer Research and Surgery, having authored 23 papers that have together received 391 indexed citations. Recurring topics across this work include Liver physiology and pathology (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Liver Disease and Transplantation (6 papers), Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (3 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). The work is most often cited by research in Hepatology (123 citations), Cancer Research (80 citations), Epidemiology (114 citations), Molecular Biology (166 citations) and Critical Care and Intensive Care Medicine (12 citations). An Jiang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jun Yang, Zongfang Li, Liang Li, Mubing Duan, Xiaoming Li, Weisan Chen, Yang Li, Shu Zhang, Zongfang Li and Yansong Pu. Their work appears in journals such as Journal of Hepatology, Cell Death and Disease, The International Journal of Biochemistry & Cell Biology, Brazilian Archives of Biology and Technology and Rapid Communications in Mass Spectrometry.

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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