X. Chen

523 citations
21 papers · 365 · h-index 12

Impact in

    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Gamma-ray bursts and supernovae
    • Stellar, planetary, and galactic studies

Papers in

X. Chen

18 papers receiving 348 citations

Peers

X. Chen
Comparison fields: 5 of 103
  • Nephrology 40
  • Astronomy and Astrophysics 40
  • Computer Vision and Pattern Recognition 43
  • Instrumentation 7
  • Cancer Research 26
Replace Yun‐Da Li with:
Yun‐Da Li Taiwan
Daniel A. Bender Germany
Stephanie Czasch Germany
Jui-Cheng Hsieh China
Guoping Li China
Shan Huang China
Zhixing Wang China
Ziwei Wang China
Yifan Wang China
Yining Shi United States
X. Chen relative to Yun‐Da Li Taiwan Yun‐Da Li's profile →
Citations per field
00.5×10×
Yun‐Da Li · 1×
Citations per year

Countries citing papers authored by X. Chen

Since Specialization
Citations

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

Fields of papers citing papers by X. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200944
2 201140
3 200937
4 200434
5 200632
6 200332
7 200529
8 201127
9 200621
10 201415
11 201115
12 200714
13 20059
14 20079
15 20123
16 20082
17 20241
18 20251
19 20250
20 20110

About X. Chen

X. Chen is a scholar working on Oncology, Molecular Biology, Nephrology, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 365 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (2 papers), Gene expression and cancer classification (2 papers), Analytical Methods in Pharmaceuticals (1 paper), Genetic and Kidney Cyst Diseases (1 paper), Conducting polymers and applications (1 paper), Stellar, planetary, and galactic studies (1 paper), Photonic Crystals and Applications (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Nephrology (40 citations), Astronomy and Astrophysics (40 citations), Computer Vision and Pattern Recognition (43 citations), Instrumentation (7 citations) and Cancer Research (26 citations). X. Chen has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Christopher A. Tout, Zhanwen Han, Qionghai Dai, Changjie Lin, Zhi Chen, Wei Zheng, Ying Zheng, Xiang Shu, Kai Gu and Wei Lü. Their work appears in journals such as Journal of Chromatographic Science, International Journal of Cancer, International Journal of Radiation Oncology*Biology*Physics, Prostate International and Community Ecology.

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.

Explore authors with similar magnitude of impact