Yan‐Xing Chen

1.5k total citations · 1 hit paper
23 papers, 739 citations indexed

About

Yan‐Xing Chen is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Yan‐Xing Chen has authored 23 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 12 papers in Cancer Research and 9 papers in Molecular Biology. Recurrent topics in Yan‐Xing Chen's work include Cancer Immunotherapy and Biomarkers (10 papers), Cancer Genomics and Diagnostics (6 papers) and RNA modifications and cancer (5 papers). Yan‐Xing Chen is often cited by papers focused on Cancer Immunotherapy and Biomarkers (10 papers), Cancer Genomics and Diagnostics (6 papers) and RNA modifications and cancer (5 papers). Yan‐Xing Chen collaborates with scholars based in China, United Kingdom and Hong Kong. Yan‐Xing Chen's co-authors include Rui‐Hua Xu, Zhao-Lei Zeng, Qi Zhao, Zixian Wang, Hui Luo, Hao‐Xiang Wu, Huai‐Qiang Ju, Miao‐Zhen Qiu, Zexian Liu and Ling Yin and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Cancer Cell.

In The Last Decade

Yan‐Xing Chen

21 papers receiving 733 citations

Hit Papers

Integrated analysis of single-cell and bulk RNA sequencin... 2022 2026 2023 2024 2022 50 100 150

Peers

Yan‐Xing Chen
Comparison fields: 5 of 70
  • Molecular Biology 391
  • Cancer Research 318
  • Oncology 261
  • Pulmonary and Respiratory Medicine 164
  • Immunology 149
Replace Leilei Tao with:
Leilei Tao China
Julieta Afonso Portugal
Ichidai Tanaka Japan
Helen Sadik United States
Bo Ni China
Beatriz Soldevilla Spain
Adrian P. Rybak Canada
Raefa Abou Khouzam United Arab Emirates
Е. М. Slonimskaya Russia
Leilei Tao China View profile →
Citations per field, relative to Yan‐Xing Chen
Yan‐Xing Chen · 1×
Citations per year, relative to Yan‐Xing Chen
Yan‐Xing Chen · 1×

Countries citing papers authored by Yan‐Xing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yan‐Xing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan‐Xing Chen. 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 Yan‐Xing Chen. The network helps show where Yan‐Xing Chen may publish in the future.

Co-authorship network of co-authors of Yan‐Xing Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yan‐Xing Chen. A scholar is included among the top collaborators of Yan‐Xing Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yan‐Xing Chen. Yan‐Xing Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 13
3 3
4 44
5 13
6 30
7 2
8 22
9 35
10 24
11
Integrated analysis of single-cell and bulk RNA sequencing data reveals a pan-cancer stemness signature predicting immunotherapy response breakdown →
167
12 135
13 1
14 20
15 30
16 46
17 79
18 1
19 18
20
Effects of artificial rearing on fecundity of Mauremys mutica Carntor
3

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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