Ming Wu

2.1k citations
44 papers · 1.5k indexed · 1 hit paper · h-index 19

Impact in

Papers in

Ming Wu

42 papers receiving 1.5k citations

Hit Papers

Treatment of Persistent Gross Hematuria with Tranexamic Acid in Autosomal Dominant Polycystic Kidney Disease 2017 · 590 citations
5902017202620202023100200300400500

Peers

Ming Wu
Comparison fields: 5 of 112
  • Biochemistry 215
  • Nephrology 222
  • Critical Care and Intensive Care Medicine 85
  • Internal Medicine 61
  • Genetics 446
Replace Qing Yao with:
Qing Yao China
J. David Vega United States
Atsushi Izawa Japan
Svitlana Demyanets Austria
Mustafa Zakkar United Kingdom
Martin Rodriguez‐Porcel United States
Kiyuk Chang South Korea
Florian Bea Germany
Kou‐Gi Shyu Taiwan
Cheng Chen China
Ming Wu relative to Qing Yao China Qing Yao's profile →
Citations per field
00.5×3.4×
Qing Yao · 1×
Citations per year

Countries citing papers authored by Ming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Treatment of Persistent Gross Hematuria with Tranexamic Acid in Autosomal Dominant Polycystic Kidney Disease
Hit paper breakdown →
2017590
2 200799
3 202377
4 201962
5 201660
6 202357
7 201650
8 201850
9 201649
10 201337
11 201934
12 200929
13 202026
14 202325
15 201923
16 201821
17 201520
18 201620
19 202220
20 201617

About Ming Wu

Ming Wu is a scholar working on Nephrology, Biological Psychiatry, Genetics, Molecular Biology and Geriatrics and Gerontology, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (10 papers), Chronic Kidney Disease and Diabetes (9 papers), Renal and related cancers (8 papers), Renal Diseases and Glomerulopathies (7 papers), Acute Kidney Injury Research (5 papers), Renal cell carcinoma treatment (4 papers), Renal and Vascular Pathologies (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Biochemistry (215 citations), Nephrology (222 citations), Critical Care and Intensive Care Medicine (85 citations), Internal Medicine (61 citations) and Genetics (446 citations). Ming Wu has collaborated with scholars based in China, Switzerland and South Korea. Frequent co-authors include Rudolf P. Wüthrich, Changlin Mei, Lili Fu, Qing Yao, Dongping Chen, Lijun Sun, Rongrong Bian, Lin Li, Xiaohong Hu and Xiaohong Xing. Their work appears in journals such as Kidney & Blood Pressure Research, Scientific Reports, American Journal of Physiology-Renal Physiology, Renal Failure and Advanced Science.

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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