Ming Xia

701 citations
47 papers · 453 · h-index 12

Impact in

  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
  • Urology top 10%
    • Urinary Bladder and Prostate Research

Papers in

Ming Xia

42 papers receiving 449 citations

Peers

Ming Xia
Comparison fields: 5 of 67
  • Nephrology 102
  • Urology 25
  • Health Informatics 5
  • Pulmonary and Respiratory Medicine 80
  • Cancer Research 37
Replace Meike Hömme with:
Meike Hömme Germany
Inga Sörensen-Zender Germany
Qiuju Wei China
Feng-Ying Lei China
Yan-Jun Zhao China
Manuela Ghielli Belgium
Yufeng Ren China
E. C. Muchaneta-Kubara United Kingdom
Tomaž Kocjan Slovenia
Ming Xia relative to Meike Hömme Germany Meike Hömme's profile →
Citations per field
00.5×4.3×
Meike Hömme · 1×
Citations per year

Countries citing papers authored by Ming Xia

Since Specialization
Citations

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

Fields of papers citing papers by Ming Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201748
2 201844
3 201128
4 202128
5 202223
6 200921
7 201821
8 201818
9 201617
10
Relationship between Metabolic Syndrome and Predictors for Clinical Benign Prostatic Hyperplasia Progression and International Prostate Symptom Score in Patients with Moderate to Severe Lower Urinary Tract Symptoms.
201615
11 201812
12 201912
13 202011
14 201811
15 202111
16 202111
17 202010
18 200810
19 20229
20 20139

About Ming Xia

Ming Xia is a scholar working on Nephrology, Pulmonary and Respiratory Medicine, Surgery, Pathology and Forensic Medicine and Urology, having authored 47 papers that have together received 453 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (11 papers), Urinary Bladder and Prostate Research (4 papers), Inflammatory mediators and NSAID effects (2 papers), Kidney Stones and Urolithiasis Treatments (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Biliary and Gastrointestinal Fistulas (2 papers), Cardiac Ischemia and Reperfusion (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Nephrology (102 citations), Urology (25 citations), Health Informatics (5 citations), Pulmonary and Respiratory Medicine (80 citations) and Cancer Research (37 citations). Ming Xia has collaborated with scholars based in China and Japan. Frequent co-authors include Hong Liu, Xiangjun Yang, Guochun Chen, Di Liu, Chi Zhang, Liyu He, Yong Yan, Miaoqing Zhao, Yong‐Ming He and Xuejing Zhu. Their work appears in journals such as International Immunopharmacology, Clinica Chimica Acta, BMC Nephrology, Urology and PeerJ.

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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