Junjun Ling

504 citations
37 papers · 368 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer-related Molecular Pathways
    • Cancer Immunotherapy and Biomarkers

Papers in

Junjun Ling

35 papers receiving 366 citations

Peers

Junjun Ling
Comparison fields: 5 of 66
  • Cancer Research 97
  • Oncology 100
  • Molecular Biology 219
  • Pulmonary and Respiratory Medicine 103
  • Otorhinolaryngology 13
Replace Abdullah Ekmekçi with:
Abdullah Ekmekçi Türkiye
Haimiao Xu China
Juanjuan Che China
Ruizhi Wang China
Chen‐Sung Lin Taiwan
Mitsuhiro Miyazaki Japan
Liqiong Xue China
Hongbing Ma China
Yufan Zheng China
Junjun Ling relative to Abdullah Ekmekçi Türkiye Abdullah Ekmekçi's profile →
Citations per field
00.5×5.1×
Abdullah Ekmekçi · 1×
Citations per year

Countries citing papers authored by Junjun Ling

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201853
2 201827
3 201222
4 202221
5 201820
6 202019
7 202217
8 201215
9 201215
10 201213
11 202212
12 202311
13 202110
14 20229
15 20128
16 20188
17 20128
18 20237
19 20177
20 20196

About Junjun Ling

Junjun Ling is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Rheumatology, having authored 37 papers that have together received 368 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (12 papers), RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (6 papers), Cancer-related Molecular Pathways (5 papers), Epigenetics and DNA Methylation (4 papers), Head and Neck Cancer Studies (4 papers), Folate and B Vitamins Research (4 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (97 citations), Oncology (100 citations), Molecular Biology (219 citations), Pulmonary and Respiratory Medicine (103 citations) and Otorhinolaryngology (13 citations). Junjun Ling has collaborated with scholars based in China and Vietnam. Frequent co-authors include Wenlei Zhuo, Liang Zhang, Yi Huang, Xianlu Zhuo, Yi Zhu, Yunbo Luo, Zhengtang Chen, Bo Zhu, Zhen Yu and Liang Zhang. Their work appears in journals such as Molecular Biology Reports, Cancer Biomarkers, Environmental Toxicology and Pharmacology, Journal of Oral Pathology and Medicine and PLoS ONE.

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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