Xiaodan Yang

1.5k citations
45 papers · 599 · h-index 15

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • interferon and immune responses

Papers in

Xiaodan Yang

44 papers receiving 591 citations

Peers

Xiaodan Yang
Comparison fields: 5 of 106
  • Cancer Research 104
  • Immunology 110
  • Molecular Biology 307
  • Infectious Diseases 65
  • Virology 15
Replace Xingjuan Shi with:
Xingjuan Shi China
Yin Liu China
Autumn G. York United States
Jonathan M. King United States
Ilaria Secco Italy
Jessie Huang United States
Zi Li China
Sandip Kumar Patel United States
Syed Hamid Ali United States
Xiaodan Yang relative to Xingjuan Shi China Xingjuan Shi's profile →
Citations per field
00.5×1.5×2.2×
Xingjuan Shi · 1×
Citations per year

Countries citing papers authored by Xiaodan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201871
2 201857
3 201945
4 202036
5 201831
6 201927
7 202225
8 201622
9 201722
10 201621
11 202120
12 202119
13 202317
14 201715
15 201814
16 201614
17 201514
18 202213
19 202210
20 201410

About Xiaodan Yang

Xiaodan Yang is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 599 indexed citations. Recurring topics across this work include interferon and immune responses (7 papers), Cancer Cells and Metastasis (4 papers), RNA Research and Splicing (4 papers), Immune Cell Function and Interaction (4 papers), RNA regulation and disease (4 papers), Immune Response and Inflammation (3 papers), Cancer-related molecular mechanisms research (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Cancer Research (104 citations), Immunology (110 citations), Molecular Biology (307 citations), Infectious Diseases (65 citations) and Virology (15 citations). Xiaodan Yang has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Yali Qin, Mingzhou Chen, Shanshan Fan, Yi Zhong, Qiang Zhang, Dong Guo, Zhiqian Zhang, Wei Zhao, Ying Zhu and Zhangchuan Xia. Their work appears in journals such as The Journal of Immunology, Scientific Reports, PLoS Pathogens, eLife and Journal of Thoracic Oncology.

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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