Meiling Deng

438 citations
31 papers · 273 · h-index 11

Impact in

Papers in

    • Circular RNAs in diseases 4
    • S100 Proteins and Annexins 2
    • Cancer-related molecular mechanisms research 5
    • MicroRNA in disease regulation 4

Meiling Deng

29 papers receiving 271 citations

Peers

Meiling Deng
Comparison fields: 5 of 57
  • Otorhinolaryngology 41
  • Cancer Research 55
  • Neurology 14
  • Pulmonary and Respiratory Medicine 43
  • Physiology 34
Replace Claudia Gedlicka with:
Claudia Gedlicka Austria
Terrence A. Day United States
Zhenhuan Ma China
Liujun Jiang China
Shumin Xie China
Leonidas Chelis Greece
Tetsuya Yoshizumi Japan
Soheil Zorofchian United States
Jonathan Enders United States
Meiling Deng relative to Claudia Gedlicka Austria Claudia Gedlicka's profile →
Citations per field
00.5×10×15×17.7×
Claudia Gedlicka · 1×
Citations per year

Countries citing papers authored by Meiling Deng

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202036
2 201825
3 202123
4 201822
5 201919
6 201918
7 202115
8 201714
9 202112
10 202211
11 202211
12 201610
13 20189
14 20208
15 20226
16 20224
17 20124
18 20214
19 20224
20 20244

About Meiling Deng

Meiling Deng is a scholar working on Molecular Biology, Cancer Research, Otorhinolaryngology, Oncology and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 273 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (7 papers), Brain Metastases and Treatment (5 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (4 papers), Lung Cancer Research Studies (3 papers), Glioma Diagnosis and Treatment (3 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Otorhinolaryngology (41 citations), Cancer Research (55 citations), Neurology (14 citations), Pulmonary and Respiratory Medicine (43 citations) and Physiology (34 citations). Meiling Deng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Wangyuan Zou, Jing Wu, Zengli Zhang, Qulian Guo, Jian Wang, Shaoxiong Wu, Xiaojing Du, Yujia Zhu, Qulian Guo and Yingqi Weng. Their work appears in journals such as Frontiers in Oncology, Neuropharmacology, Oncotarget, Neural Plasticity and Translational Pediatrics.

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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