Guo Chen

114 papers receiving 1.5k citations

Peers

Guo Chen
Comparison fields: 5 of 154
  • Cardiology and Cardiovascular Medicine 358
  • Critical Care and Intensive Care Medicine 65
  • Urban Studies 65
  • Biochemistry 48
  • Nephrology 55
Replace Katalin Kovács with:
Katalin Kovács Hungary
Rongrong Zhang China
Chun‐Yao Huang Taiwan
Li Yang China
Eun Jung Park South Korea
D. Lynne Smith United States
Hongli Lin China
Huiping Wang China
Jun Liu China
Nicola Fiotti Italy
Guo Chen relative to Katalin Kovács Hungary Katalin Kovács's profile →
Citations per field
00.5×8.5×
Katalin Kovács · 1×
Citations per year

Countries citing papers authored by Guo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201197
2 201281
3 202276
4 200450
5 202250
6 202147
7 201447
8 202343
9 201338
10 201937
11 201736
12 201436
13 201536
14 201334
15 201930
16 201828
17 200825
18 201324
19 202124
20 200023

About Guo Chen

Guo Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery and Epidemiology, having authored 124 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (11 papers), Acupuncture Treatment Research Studies (6 papers), Organic Electronics and Photovoltaics (6 papers), Acute Myocardial Infarction Research (5 papers), Cardiovascular Function and Risk Factors (5 papers), Atrial Fibrillation Management and Outcomes (4 papers), Conducting polymers and applications (4 papers) and Organic Light-Emitting Diodes Research (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (358 citations), Critical Care and Intensive Care Medicine (65 citations), Urban Studies (65 citations), Biochemistry (48 citations) and Nephrology (55 citations). Guo Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Maxime Cannesson, Lingzhong Meng, Brenton Alexander, Andre F. Palmer, Fulong Wu, Xuyu He, Chaolin Gu, Zeev N. Kain, Tao Yang and Mingmin Li. Their work appears in journals such as Frontiers in Cardiovascular Medicine, BMC Musculoskeletal Disorders, Biotechnology and Bioengineering, Cellular and Molecular Life Sciences and Acupuncture & Electro-Therapeutics Research.

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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