Hang Xi

1.3k citations
22 papers · 937 · h-index 14

Impact in

  • Immunology top 10%
    • Atherosclerosis and Cardiovascular Diseases
    • Immune cells in cancer
    • Immune responses and vaccinations
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
  • Nephrology top 10%
    • Gout, Hyperuricemia, Uric Acid

Papers in

Hang Xi

21 papers receiving 930 citations

Peers

Hang Xi
Comparison fields: 5 of 106
  • Immunology 329
  • Nephrology 74
  • Aging 16
  • Molecular Biology 476
  • Biological Psychiatry 15
Replace Changhong Du with:
Changhong Du China
Yanqiu Wang China
Eirini Kefaloyianni United States
Rifeng Gao China
Alexandra Vanessa Finsen Norway
Ines Sturmlechner United States
Tsunehisa Yamamoto Japan
Miguel Carracedo Sweden
Anna Solà Spain
Hang Xi relative to Changhong Du China Changhong Du's profile →
Citations per field
00.5×10×13×
Changhong Du · 1×
Citations per year

Countries citing papers authored by Hang Xi

Since Specialization
Citations

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

Fields of papers citing papers by Hang Xi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016195
2 2015168
3 201580
4 201579
5 201668
6 200667
7 202059
8 201944
9 200537
10 201728
11 201526
12 202116
13 200015
14 200915
15 200511
16 201510
17 20029
18 20234
19
The Hezhen Language
19894
20
Abstract 16144: Death Associated Protein Kinase Mediates Myofibril Degeneration and Myocyte Apoptosis Induced by Beta-adrenergic Receptors
20161

About Hang Xi

Hang Xi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Surgery and Physiology, having authored 22 papers that have together received 937 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Free Radicals and Antioxidants (2 papers), Renin-Angiotensin System Studies (2 papers), Adipose Tissue and Metabolism (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers). The work is most often cited by research in Immunology (329 citations), Nephrology (74 citations), Aging (16 citations), Molecular Biology (476 citations) and Biological Psychiatry (15 citations). Hang Xi has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Hong Wang, Xiaojin Sha, Xiaohua Jiang, Xiaofeng Yang, William Y. Yang, Xinyuan Li, Eric T. Choi, Xuebin Qin, Yanjie Xu and Xiaoshu Cheng. Their work appears in journals such as Journal of Biological Chemistry, Circulation, Journal of Hematology & Oncology, Journal of Molecular and Cellular Cardiology and Alzheimer s Research & Therapy.

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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