Ying Chen

4.9k citations
158 papers · 3.5k · 1 hit paper · h-index 30

Impact in

Papers in

Ying Chen

141 papers receiving 3.5k citations

Ying Chen's Hit Papers

X-ray-activated persistent luminescence nanomaterials for NIR-II imaging 2021 · 600 citations
6000+1+3Years since publication200400600

Peers

Ying Chen
Comparison fields: 5 of 167
  • Endocrinology, Diabetes and Metabolism 440
  • Nephrology 181
  • Materials Chemistry 772
  • Genetics 380
  • Biochemistry 100
Replace Liming Yang with:
Liming Yang China
Hiroshi Iwata Japan
Yasushi Nakamura Japan
Toshihiro Sugiyama Japan
Paul D. Lewis United Kingdom
Yoshiko Iwamoto United States
Minoru Harada Japan
Lixin Ma United States
Anil K. Mandal India
Masaki Kimura Japan
Ying Chen relative to Liming Yang China Liming Yang's profile →
Citations per field
00.5×3.2×
Liming Yang · 1×
Citations per year

Countries citing papers authored by Ying Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ying Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1
X-ray-activated persistent luminescence nanomaterials for NIR-II imaging
Hit paper breakdown →
2021600
2 1992235
3 1997225
4 2018175
5 2016173
6 2021106
7 2018105
8 202288
9 202478
10 201165
11 201564
12 201261
13 201458
14 202157
15 202254
16 201852
17 201952
18 202248
19 201947
20 202045

About Ying Chen

Ying Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology, Surgery and Epidemiology, having authored 158 papers that have together received 3.5k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Diabetes Treatment and Management (8 papers), Nanoplatforms for cancer theranostics (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Estrogen and related hormone effects (6 papers), Diet, Metabolism, and Disease (6 papers), Liver Disease and Transplantation (5 papers) and Sulfur Compounds in Biology (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (440 citations), Nephrology (181 citations), Materials Chemistry (772 citations), Genetics (380 citations) and Biochemistry (100 citations). Ying Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Fan Zhang, Peng Pei, Hongxin Zhang, Fuad N. Ziyadeh, Michael V. Rocco, Stanley Goldfarb, Dongyuan Zhao, Yong Fan, Mengyao Zhao and Lingfei Lu. Their work appears in journals such as Journal of Craniofacial Surgery, Scientific Reports, PLoS ONE, International Journal of Biological Macromolecules and Frontiers in Cellular Neuroscience.

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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