Xiaomei Xia

1.1k citations
30 papers · 803 · h-index 14

Impact in

  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

Xiaomei Xia

28 papers receiving 791 citations

Peers

Xiaomei Xia
Comparison fields: 5 of 106
  • Nephrology 120
  • Genetics 106
  • Endocrinology, Diabetes and Metabolism 112
  • Pulmonary and Respiratory Medicine 198
  • Rehabilitation 34
Replace M.A. Arbós with:
M.A. Arbós Spain
Masakazu Kogawa Australia
Matthew J. Beckman United States
Figen Kaymaz Türkiye
Sylvia Liu Singapore
Sergio Portal‐Núñez Spain
Maxime A. Gallant United States
Weiqing Liu China
Ming Lei China
Letizia Mattii Italy
Xiaomei Xia relative to M.A. Arbós Spain M.A. Arbós's profile →
Citations per field
00.5×5.9×
M.A. Arbós · 1×
Citations per year

Countries citing papers authored by Xiaomei Xia

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomei Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaomei 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 Xiaomei Xia Line = papers co-authored together Xiaomei Xia 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 2010106
2 201989
3 200973
4 201571
5 201959
6 200854
7 200349
8 201742
9 202036
10 202032
11 200628
12 201825
13 201325
14 202214
15 202413
16 201213
17 202112
18 201610
19 201210
20 20239

About Xiaomei Xia

Xiaomei Xia is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Biomedical Engineering and Nephrology, having authored 30 papers that have together received 803 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Mesenchymal stem cell research (4 papers), Pulmonary Hypertension Research and Treatments (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Bone Tissue Engineering Materials (4 papers), Renal Diseases and Glomerulopathies (4 papers), Estrogen and related hormone effects (3 papers) and Neonatal Respiratory Health Research (3 papers). The work is most often cited by research in Nephrology (120 citations), Genetics (106 citations), Endocrinology, Diabetes and Metabolism (112 citations), Pulmonary and Respiratory Medicine (198 citations) and Rehabilitation (34 citations). Xiaomei Xia has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Sharon J. Elliot, Paola Catanuto, Michael Karl, Mariana Berho, Marilyn K. Glassberg, Sophie Doublier, Enrico Lupia, Simone Pereira‐Simon, Kenneth S. Korach and Chunyong Liang. Their work appears in journals such as Endocrinology, Kidney International, Journal of Material Science and Technology, Molecular Therapy 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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