Ming‐Hsien Wang

538 citations
20 papers · 366 · h-index 11

Impact in

Papers in

    • Urological Disorders and Treatments 11
    • Surgical Simulation and Training 3
    • Bladder and Urothelial Cancer Treatments 2

Ming‐Hsien Wang

19 papers receiving 356 citations

Peers

Ming‐Hsien Wang
Comparison fields: 5 of 72
  • Urology 166
  • Pediatrics, Perinatology and Child Health 111
  • Endocrinology 21
  • Rheumatology 46
  • Molecular Medicine 13
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Clare E. Close United States
Răzvan-Ionuț Popescu Romania
Elodi Dielubanza United States
Claudia Mosquera United States
Ramiro J. Madden‐Fuentes United States
Boris Groisman Argentina
Ruth Greenlees United Kingdom
L Negri Italy
José Carlos Truzzi Brazil
D.F.M. Thomas United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Ming‐Hsien Wang

Since Specialization
Citations

This map shows the geographic impact of Ming‐Hsien 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‐Hsien 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‐Hsien Wang more than expected).

Fields of papers citing papers by Ming‐Hsien Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2008101
2 201342
3 201330
4 201228
5 201328
6 201026
7 201922
8 201415
9 201213
10 201610
11 201710
12 20148
13 20127
14 20036
15 20106
16 20155
17 20125
18 20113
19 20151
20 20230

About Ming‐Hsien Wang

Ming‐Hsien Wang is a scholar working on Urology, Surgery, Pediatrics, Perinatology and Child Health, Epidemiology and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 366 indexed citations. Recurring topics across this work include Urological Disorders and Treatments (11 papers), Pediatric Urology and Nephrology Studies (8 papers), Urinary Tract Infections Management (5 papers), Renal and related cancers (3 papers), Surgical Simulation and Training (3 papers), Innovations in Medical Education (2 papers), Ureteral procedures and complications (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). The work is most often cited by research in Urology (166 citations), Pediatrics, Perinatology and Child Health (111 citations), Endocrinology (21 citations), Rheumatology (46 citations) and Molecular Medicine (13 citations). Ming‐Hsien Wang has collaborated with scholars based in United States. Frequent co-authors include Laurence S. Baskin, Belinda Chen, David E. Kern, Susan L. Gearhart, Kwang J. Kim, Marta M. Gilson, Eric Z. Massanyi, M. Francesca Monn, Matthew Kasprenski and Joan Ko. Their work appears in journals such as Urology, Journal of Pediatric Urology, Journal of surgical education, BMC Urology and Differentiation.

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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