Ming-Cheng Wang

1.8k citations
52 papers · 1.2k · h-index 22

Impact in

Papers in

    • Dialysis and Renal Disease Management 6
    • Chronic Kidney Disease and Diabetes 4
    • Urinary Tract Infections Management 9

Ming-Cheng Wang

51 papers receiving 1.2k citations

Peers

Ming-Cheng Wang
Comparison fields: 5 of 96
  • Molecular Medicine 232
  • Endocrinology 167
  • Nephrology 192
  • Clinical Biochemistry 64
  • Infectious Diseases 116
Replace R Fünfstück with:
R Fünfstück Germany
P. E. Gower United Kingdom
Laura E. Johnson United States
Yukimichi Kawada Japan
Rose Jung United States
John Merlino United States
Lei Tian China
Hiroki Tsukada Japan
M.J. Ledson United Kingdom
Isao Nishi Japan
Ming-Cheng Wang relative to R Fünfstück Germany R Fünfstück's profile →
Citations per field
00.5×3.1×
R Fünfstück · 1×
Citations per year

Countries citing papers authored by Ming-Cheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Cheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011115
2 201293
3 200561
4 201260
5 201856
6 201451
7 200148
8 201147
9 201544
10 201641
11 201437
12 201437
13 201136
14 201233
15 202127
16 201825
17 201124
18 201924
19 202023
20 201523

About Ming-Cheng Wang

Ming-Cheng Wang is a scholar working on Nephrology, Epidemiology, Endocrinology, Molecular Medicine and Cardiology and Cardiovascular Medicine, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Urinary Tract Infections Management (9 papers), Antibiotic Resistance in Bacteria (9 papers), Escherichia coli research studies (8 papers), Dialysis and Renal Disease Management (6 papers), Chronic Kidney Disease and Diabetes (4 papers), Cardiovascular Health and Disease Prevention (4 papers), Bacterial Identification and Susceptibility Testing (4 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Molecular Medicine (232 citations), Endocrinology (167 citations), Nephrology (192 citations), Clinical Biochemistry (64 citations) and Infectious Diseases (116 citations). Ming-Cheng Wang has collaborated with scholars based in Taiwan, United States and New Zealand. Frequent co-authors include Chin‐Chung Tseng, Jiunn-Jong Wu, Wei‐Hung Lin, Ching‐Hao Teng, Jing-Jou Yan, Junne‐Ming Sung, An‐Bang Wu, Yu‐Tzu Chang, Jeng-Jong Huang and Cheng‐Yen Kao. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Journal of Clinical Microbiology, Frontiers in Microbiology, BMC Nephrology and Frontiers in Medicine.

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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