Desong Yang

1.1k citations
30 papers · 682 · h-index 12

Impact in

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

Papers in

    • RNA modifications and cancer 5
    • Epigenetics and DNA Methylation 2
    • Cancer-related molecular mechanisms research 7
    • MicroRNA in disease regulation 2
    • Cancer, Hypoxia, and Metabolism 2

Desong Yang

29 papers receiving 679 citations

Peers

Desong Yang
Comparison fields: 5 of 72
  • Cancer Research 342
  • Molecular Biology 429
  • Oncology 67
  • Pulmonary and Respiratory Medicine 71
  • Gastroenterology 8
Replace Ling‐Fei Wu with:
Ling‐Fei Wu China
Qingfeng Lin China
Hongsheng Liu China
Abier Abdelnaby United States
Wen Jiang China
Siegfried Loeschke Germany
Minyue Tang China
Mi Jian China
Erin E. Patterson United States
Desong Yang relative to Ling‐Fei Wu China Ling‐Fei Wu's profile →
Citations per field
00.5×3.6×
Ling‐Fei Wu · 1×
Citations per year

Countries citing papers authored by Desong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Desong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019329
2 201854
3 202037
4 202235
5 202226
6 202323
7 201623
8 202316
9 202215
10 202015
11 202214
12 201914
13 202111
14 202210
15 20228
16 20237
17 20187
18 20216
19 20225
20 20235

About Desong Yang

Desong Yang is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 30 papers that have together received 682 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Esophageal Cancer Research and Treatment (6 papers), Lung Cancer Diagnosis and Treatment (5 papers), RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (2 papers), MicroRNA in disease regulation (2 papers), Metastasis and carcinoma case studies (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (342 citations), Molecular Biology (429 citations), Oncology (67 citations), Pulmonary and Respiratory Medicine (71 citations) and Gastroenterology (8 citations). Desong Yang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Wenxiang Wang, Yuhang Xiao, Min Su, Zhining Wu, Bo Tian, Li Xu, Qianjin Liao, Yong Zhou, Junliang Ma and Yu‐Qin Zhang. Their work appears in journals such as Frontiers in Oncology, Medicine, Cancer Cell International, Scientific Reports and Microchimica Acta.

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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