Jun Pu

447 citations
39 papers · 295 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • Ion channel regulation and function

Papers in

    • RNA modifications and cancer 12
    • Epigenetics and DNA Methylation 4
    • Circular RNAs in diseases 3
    • Advanced biosensing and bioanalysis techniques 3
    • Cancer-related molecular mechanisms research 12

Jun Pu

36 papers receiving 290 citations

Peers

Jun Pu
Comparison fields: 5 of 62
  • Cancer Research 95
  • Molecular Biology 187
  • Oncology 64
  • Genetics 22
  • Immunology 30
Replace Mila Sajinovic with:
Mila Sajinovic Australia
Katarzyna J. Nytko Switzerland
Federico Lucantoni Spain
Edward J. Sanderlin United States
Anja Bastian United States
Haiyang Li China
Graeme Benstead-Hume United Kingdom
Thomas Jackson United Kingdom
Monika Rak Poland
Jun Pu relative to Mila Sajinovic Australia Mila Sajinovic's profile →
Citations per field
00.5×2.6×
Mila Sajinovic · 1×
Citations per year

Countries citing papers authored by Jun Pu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202243
2 201928
3 200223
4 202121
5 202321
6 202116
7 202213
8 202210
9 202210
10 20258
11 20257
12 20147
13 20147
14 20177
15 20166
16 20226
17 20116
18 20225
19 20225
20 20215

About Jun Pu

Jun Pu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Genetics and Neurology, having authored 39 papers that have together received 295 indexed citations. Recurring topics across this work include RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (12 papers), Ferroptosis and cancer prognosis (10 papers), Glioma Diagnosis and Treatment (7 papers), Epigenetics and DNA Methylation (4 papers), Circular RNAs in diseases (3 papers), Neuroblastoma Research and Treatments (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Cancer Research (95 citations), Molecular Biology (187 citations), Oncology (64 citations), Genetics (22 citations) and Immunology (30 citations). Jun Pu has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Xiulin Jiang, Yulin Shi, Zhi Nie, Yongbin Chen, Cuiping Yang, Liping Jiang, Kun Liu, Yixiao Yuan, Qiushuo Shen and Xi Chen. Their work appears in journals such as Aging, Frontiers in Oncology, Frontiers in Molecular Biosciences, Scientific Reports and Frontiers in Cell and Developmental Biology.

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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