Junliang Pu

616 citations
22 papers · 447 · h-index 11

Impact in

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

Papers in

    • Inflammasome and immune disorders 4
    • Heme Oxygenase-1 and Carbon Monoxide 3
    • Circular RNAs in diseases 3
    • Organ Transplantation Techniques and Outcomes 6

Junliang Pu

22 papers receiving 444 citations

Peers

Junliang Pu
Comparison fields: 5 of 71
  • Hepatology 68
  • Cancer Research 124
  • Immunology 89
  • Molecular Biology 243
  • Pharmacology 28
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Junliang Pu relative to Elisa Manieri Spain Elisa Manieri's profile →
Citations per field
00.5×1.5×1.8×
Elisa Manieri · 1×
Citations per year

Countries citing papers authored by Junliang Pu

Since Specialization
Citations

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

Fields of papers citing papers by Junliang Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201778
2 202078
3 201951
4 201643
5 201742
6 202134
7 202122
8 202020
9 202218
10 202113
11 202011
12 20226
13
[Tumor-associated macrophages promote the proliferation and migration as well as invasion of sorafenib-resistant hepatocellular carcinoma cells].
20176
14 20246
15 20214
16 20194
17 20224
18 20232
19
[Interleukin-37 induces apoptosis and autophagy of SMMC-7721 cells by inhibiting phosphorylation of mTOR].
20172
20 20241

About Junliang Pu

Junliang Pu is a scholar working on Molecular Biology, Surgery, Cancer Research, Epidemiology and Immunology, having authored 22 papers that have together received 447 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Organ Transplantation Techniques and Outcomes (6 papers), Liver Disease and Transplantation (4 papers), Cancer-related molecular mechanisms research (4 papers), Inflammasome and immune disorders (4 papers), Diabetes Management and Research (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Hepatology (68 citations), Cancer Research (124 citations), Immunology (89 citations), Molecular Biology (243 citations) and Pharmacology (28 citations). Junliang Pu has collaborated with scholars based in China. Frequent co-authors include Zhongjun Wu, Tong Mou, Zuotian Huang, Xufu Wei, Daofeng Zheng, Zhen Guo, Yunhai Luo, Di Zhu, Tingting Li and Tingting Li. Their work appears in journals such as Molecular Immunology, Bioscience Biotechnology and Biochemistry, Scientific Reports, Cell Death and Disease and Innate Immunity.

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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