Peiling Chen

1.0k citations
32 papers · 428 · h-index 12

Impact in

Papers in

Peiling Chen

28 papers receiving 417 citations

Peers

Peiling Chen
Comparison fields: 5 of 106
  • Modeling and Simulation 44
  • Critical Care and Intensive Care Medicine 25
  • Epidemiology 96
  • Dermatology 22
  • Cancer Research 32
Replace Sanjna Nilesh Nerurkar with:
Sanjna Nilesh Nerurkar Singapore
Catarina Alisa Kunze Germany
H. Henry Guo United States
Jinxia Yuan China
Kuan‐lin Huang United States
Daisuke Furukawa Japan
Leslie Lee United States
Barbara Ingold‐Heppner Germany
Zhaonian Hao China
Peiling Chen relative to Sanjna Nilesh Nerurkar Singapore Sanjna Nilesh Nerurkar's profile →
Citations per field
00.5×1.5×
Sanjna Nilesh Nerurkar · 1×
Citations per year

Countries citing papers authored by Peiling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Peiling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202058
2 202249
3 202241
4 201939
5 200839
6 201933
7 202330
8 201320
9 201619
10 202018
11 202114
12 202312
13 20249
14 20256
15 20226
16 20206
17 20224
18 20214
19 20223
20 20223

About Peiling Chen

Peiling Chen is a scholar working on Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine, Surgery and Infectious Diseases, having authored 32 papers that have together received 428 indexed citations. Recurring topics across this work include Fungal Infections and Studies (3 papers), Intensive Care Unit Cognitive Disorders (2 papers), Antifungal resistance and susceptibility (2 papers), Congenital Heart Disease Studies (2 papers), Kruppel-like factors research (2 papers), MicroRNA in disease regulation (2 papers), Congenital Diaphragmatic Hernia Studies (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Modeling and Simulation (44 citations), Critical Care and Intensive Care Medicine (25 citations), Epidemiology (96 citations), Dermatology (22 citations) and Cancer Research (32 citations). Peiling Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yan‐Kwang Chen, Yuxiong Guo, Guilang Zheng, Shujie Chen, Shaolong Sun, Anne C. Lind, Jun Lin, Jing Wang, Shan Yin and Wen‐Jing Shi. Their work appears in journals such as Scientific Reports, Frontiers in Psychiatry, Pediatric Allergy and Immunology, Nature Communications and Journal of Cutaneous Pathology.

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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