Ling Chen

51 papers receiving 435 citations

Peers

Ling Chen
Comparison fields: 5 of 105
  • Pulmonary and Respiratory Medicine 80
  • Cardiology and Cardiovascular Medicine 49
  • Cellular and Molecular Neuroscience 41
  • Cancer Research 28
  • Biological Psychiatry 4
Replace Juan F. Calderón with:
Juan F. Calderón Chile
S. Ghariani Belgium
Akira Wiberg United Kingdom
Francesca Ferrari Italy
Xin Gu China
Naomi Hino‐Fukuyo Japan
Stefanie Heilmann‐Heimbach Germany
Steven Gu United States
Oana Caluseriu Canada
Matthew Goodman United States
Ling Chen relative to Juan F. Calderón Chile Juan F. Calderón's profile →
Citations per field
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Juan F. Calderón · 1×
Citations per year

Countries citing papers authored by Ling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201179
2 201842
3 201941
4 202119
5 201418
6 202216
7 201815
8 200814
9 201914
10 202114
11 201812
12 201712
13 202410
14 201610
15 20218
16 19968
17 20158
18 20207
19 20177
20 20197

About Ling Chen

Ling Chen is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 59 papers that have together received 442 indexed citations. Recurring topics across this work include Arctic and Antarctic ice dynamics (4 papers), Traditional Chinese Medicine Studies (3 papers), Heart Failure Treatment and Management (3 papers), Pulmonary Hypertension Research and Treatments (3 papers), Renin-Angiotensin System Studies (2 papers), Icing and De-icing Technologies (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Inflammatory Bowel Disease (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (80 citations), Cardiology and Cardiovascular Medicine (49 citations), Cellular and Molecular Neuroscience (41 citations), Cancer Research (28 citations) and Biological Psychiatry (4 citations). Ling Chen has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Kazuhiro Nagaoka, Tetsuya Matoba, Hiroyuki Tsujimoto, Satoshi Kimura, Kaku Nakano, Eiko Iwata, Miho Miyagawa, Junji Kishimoto, Kenji Sunagawa and Kensuke Egashira. Their work appears in journals such as Results in Engineering, Behavioural Neurology, Hypertension, PLoS ONE and Heart.

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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