Hongxia Chu

464 citations
23 papers · 325 · h-index 9

Impact in

Papers in

Hongxia Chu

21 papers receiving 322 citations

Peers

Hongxia Chu
Comparison fields: 5 of 73
  • Biological Psychiatry 16
  • Immunology 102
  • Behavioral Neuroscience 15
  • Cancer Research 47
  • Cardiology and Cardiovascular Medicine 61
Replace Ming-Mei Shang with:
Ming-Mei Shang Sweden
Jiang-Zhou Yu United States
Lingling Yao China
Paola Mussi United States
Henan Zhao China
Minghua Fan China
Julian C. Assmann Germany
Aditi Upadhye United States
Anqi Zhang China
Kasparas Petkevicius United Kingdom
Hongxia Chu relative to Ming-Mei Shang Sweden Ming-Mei Shang's profile →
Citations per field
00.5×3.8×
Ming-Mei Shang · 1×
Citations per year

Countries citing papers authored by Hongxia Chu

Since Specialization
Citations

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

Fields of papers citing papers by Hongxia Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201846
2 201945
3 202038
4 201235
5 201732
6 201830
7 201420
8 202018
9 201712
10 20128
11 20237
12 20187
13 20216
14 20165
15 20174
16 20223
17 20233
18 20232
19 20232
20 20221

About Hongxia Chu

Hongxia Chu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Immunology, Surgery and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 325 indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (9 papers), Atrial Fibrillation Management and Outcomes (8 papers), Cardiac electrophysiology and arrhythmias (6 papers), Cardiac pacing and defibrillation studies (6 papers), MicroRNA in disease regulation (2 papers), Nerve injury and regeneration (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Biological Psychiatry (16 citations), Immunology (102 citations), Behavioral Neuroscience (15 citations), Cancer Research (47 citations) and Cardiology and Cardiovascular Medicine (61 citations). Hongxia Chu has collaborated with scholars based in China and United States. Frequent co-authors include Faliang Zhu, Yongyu Shi, Lining Zhang, Wei Zhao, Qun Wang, Jianping Li, Qingguo Meng, Juan Liu, Jiazhen Wang and Chaoming Wang. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Cell Death and Disease, Reviews in Cardiovascular Medicine, International Journal of Cardiology and BMC Musculoskeletal Disorders.

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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