Ni Xia

2.3k citations
49 papers · 1.8k · h-index 21

Impact in

  • Immunology top 5%
    • Atherosclerosis and Cardiovascular Diseases
    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways
    • T-cell and B-cell Immunology
    • Cardiac Fibrosis and Remodeling
    • Viral Infections and Immunology Research

Papers in

Ni Xia

48 papers receiving 1.8k citations

Peers

Ni Xia
Comparison fields: 5 of 122
  • Immunology 692
  • Cardiology and Cardiovascular Medicine 596
  • Pathology and Forensic Medicine 147
  • Molecular Biology 540
  • Cancer Research 103
Replace Matthias Canault with:
Matthias Canault France
Elizabeth R. Flynn United States
Courtney A. Cates United States
Mohamed Ameen Ismahil United States
Xinyu Weng China
Yukihiro Seta United States
Elisabetta Faggin Italy
Yu-Hua Liao China
Hiroki Takahashi Japan
Kohsuke Shirakawa Japan
Ni Xia relative to Matthias Canault France Matthias Canault's profile →
Citations per field
00.5×2×2.9×
Matthias Canault · 1×
Citations per year

Countries citing papers authored by Ni Xia

Since Specialization
Citations

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

Fields of papers citing papers by Ni Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012275
2 2011274
3 2020179
4 201480
5 201563
6 201563
7 202060
8 201159
9 201957
10 201350
11 201850
12 202148
13 201248
14 201147
15 202144
16 201942
17 201735
18 202234
19 202231
20 201430

About Ni Xia

Ni Xia is a scholar working on Immunology, Cardiology and Cardiovascular Medicine, Molecular Biology, Genetics and Cancer Research, having authored 49 papers that have together received 1.8k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (11 papers), Cardiac Fibrosis and Remodeling (10 papers), Immune Cell Function and Interaction (9 papers), IL-33, ST2, and ILC Pathways (8 papers), Signaling Pathways in Disease (6 papers), T-cell and B-cell Immunology (4 papers), Aortic aneurysm repair treatments (3 papers) and Eosinophilic Esophagitis (3 papers). The work is most often cited by research in Immunology (692 citations), Cardiology and Cardiovascular Medicine (596 citations), Pathology and Forensic Medicine (147 citations), Molecular Biology (540 citations) and Cancer Research (103 citations). Ni Xia has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiang Chao Cheng, Tingting Tang, Hong Xiao, Yuhua Liao, Shaofang Nie, Jing Yuan, Yuzhi Lu, Mengyang Liao, Bingjie Lv and Guo‐Ping Shi. Their work appears in journals such as Frontiers in Immunology, The FASEB Journal, Basic Research in Cardiology, Journal of Biological Chemistry and Scientific Reports.

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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