Jun Ji

1.1k citations
42 papers · 805 · h-index 18

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation

Papers in

    • Cancer-related gene regulation 6
    • RNA modifications and cancer 5
    • Histone Deacetylase Inhibitors Research 4
    • TGF-β signaling in diseases 4
    • Epigenetics and DNA Methylation 4
    • Angiogenesis and VEGF in Cancer 4
    • Peptidase Inhibition and Analysis 5

Jun Ji

40 papers receiving 792 citations

Peers

Jun Ji
Comparison fields: 5 of 96
  • Cancer Research 238
  • Molecular Biology 542
  • Oncology 184
  • Pulmonary and Respiratory Medicine 110
  • Cell Biology 52
Replace Yu Zeng with:
Yu Zeng China
Neda Shajari Iran
Mo Chen China
Elizabeth Hernández United States
Yegang Ma China
Arindam Dhar United States
C. Luccioni France
Adriana Amaro Italy
Xiangyuan Liu China
Jana Jandová United States
Jun Ji relative to Yu Zeng China Yu Zeng's profile →
Citations per field
00.5×1.5×2.5×
Yu Zeng · 1×
Citations per year

Countries citing papers authored by Jun Ji

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201790
2 201363
3 200845
4 201642
5 201936
6 201835
7 201432
8 201532
9 201731
10 200431
11 202329
12 202028
13 201525
14 201624
15 200523
16 201021
17 202421
18 201421
19 201317
20 201416

About Jun Ji

Jun Ji is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 805 indexed citations. Recurring topics across this work include Cancer-related gene regulation (6 papers), RNA modifications and cancer (5 papers), Peptidase Inhibition and Analysis (5 papers), Histone Deacetylase Inhibitors Research (4 papers), MicroRNA in disease regulation (4 papers), TGF-β signaling in diseases (4 papers), Epigenetics and DNA Methylation (4 papers) and Angiogenesis and VEGF in Cancer (4 papers). The work is most often cited by research in Cancer Research (238 citations), Molecular Biology (542 citations), Oncology (184 citations), Pulmonary and Respiratory Medicine (110 citations) and Cell Biology (52 citations). Jun Ji has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Yingyan Yu, Jun Zhang, Zhenggang Zhu, Qu Cai, Jinling Jiang, Bingya Liu, Xuehua Chen, Min Shi, Chenfei Zhou and Chao Wang. Their work appears in journals such as International Journal of Oncology, Cancer Letters, Scientific Reports, International Journal of Medical Sciences 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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