Hui Su

29 papers receiving 913 citations

Peers

Hui Su
Comparison fields: 5 of 83
  • Immunology and Allergy 59
  • Developmental Neuroscience 37
  • Pathology and Forensic Medicine 154
  • Cardiology and Cardiovascular Medicine 162
  • Physiology 191
Replace Frans J. van Overveld with:
Frans J. van Overveld Belgium
Janice M. Russell United States
Hiroaki Kusaka Japan
Xiaoyuan Yang United States
Yung‐Fong Tsai Taiwan
Qi Feng China
Anne Ronan Australia
Yael Yuhas Israel
Marcell Alysson Batisti Lozovoy Brazil
Gürbüz Polat Türkiye
Hui Su relative to Frans J. van Overveld Belgium Frans J. van Overveld's profile →
Citations per field
00.5×4.1×
Frans J. van Overveld · 1×
Citations per year

Countries citing papers authored by Hui Su

Since Specialization
Citations

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

Fields of papers citing papers by Hui Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013125
2 201298
3 200676
4 201369
5 201369
6 200764
7 201754
8 201953
9 201850
10 202244
11 201538
12 202434
13 202125
14 201523
15 201122
16 202418
17 202017
18 202113
19 202410
20 20206

About Hui Su

Hui Su is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 30 papers that have together received 927 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Gut microbiota and health (3 papers), Adipose Tissue and Metabolism (3 papers), Ferroptosis and cancer prognosis (2 papers), Pulmonary Hypertension Research and Treatments (2 papers), Pediatric health and respiratory diseases (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Immunology and Allergy (59 citations), Developmental Neuroscience (37 citations), Pathology and Forensic Medicine (154 citations), Cardiology and Cardiovascular Medicine (162 citations) and Physiology (191 citations). Hui Su has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaoming Wang, Wayne Bond Lau, Xinliang Ma, Haifeng Zhang, Feng Gao, Yajing Wang, Yuexing Yuan, Walter J. Koch, Erhe Gao and Xin Sun. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Cellular Immunology, PLoS ONE, American Journal of Physiology-Endocrinology and Metabolism and Circulation.

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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