Jun Weng

1.6k citations
52 papers · 1.2k indexed · h-index 18

Impact in

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

Papers in

Jun Weng

52 papers receiving 1.1k citations

Peers

Jun Weng
Comparison fields: 5 of 107
  • Hepatology 192
  • Cancer Research 164
  • Molecular Biology 460
  • Materials Chemistry 236
  • Immunology 107
Replace Takahiro Ishiguro with:
Takahiro Ishiguro Japan
Xueping Jiang China
Shouqin Lü China
Yong Luo China
Xi Zeng China
Yimeng Gao China
Jiangfeng Wu China
Xiwei Wang China
Lacey R. McNally United States
Lei Cui China
Jun Weng relative to Takahiro Ishiguro Japan Takahiro Ishiguro's profile →
Citations per field
00.5×3.5×
Takahiro Ishiguro · 1×
Citations per year

Countries citing papers authored by Jun Weng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018117
2 201294
3 201988
4 202077
5 201166
6 201253
7 202050
8 201948
9 201746
10 201235
11 201934
12 202129
13 202128
14 201328
15 202127
16 202120
17 202018
18 202018
19 202117
20 202116

About Jun Weng

Jun Weng is a scholar working on Molecular Biology, Cancer Research, Hepatology, Materials Chemistry and Epidemiology, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (7 papers), Diamond and Carbon-based Materials Research (5 papers), Metal and Thin Film Mechanics (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Liver physiology and pathology (4 papers), RNA modifications and cancer (4 papers) and 3D Printing in Biomedical Research (4 papers). The work is most often cited by research in Hepatology (192 citations), Cancer Research (164 citations), Molecular Biology (460 citations), Materials Chemistry (236 citations) and Immunology (107 citations). Jun Weng has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yi Gao, Liwei Xiong, Fanhong Zeng, Ruifu Zhang, Qirong Shen, Juan Li, Yang Wang, Li Su, Xu Han and Min Zeng. Their work appears in journals such as International Journal of Biological Macromolecules, BioMed Research International, Frontiers in Cell and Developmental Biology, International Journal of Biological Sciences and Journal of Enzyme Inhibition and Medicinal Chemistry.

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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