Duc M

34 papers receiving 334 citations

Peers

Duc M
Comparison fields: 5 of 70
  • Nephrology 56
  • Developmental Neuroscience 19
  • Rheumatology 37
  • Neurology 20
  • Neurology 30
Replace Megumi Shibata with:
Megumi Shibata Japan
Jean‐Luc Carré France
Silvia Cardarelli Italy
Ryusuke Koshida Japan
Yichen Guo China
Brendan McNeish United States
Xiaopeng Tong China
Xuehui Fan China
Ningpu Liu China
Duc M relative to Megumi Shibata Japan Megumi Shibata's profile →
Citations per field
00.5×2.7×
Megumi Shibata · 1×
Citations per year

Countries citing papers authored by Duc M

Since Specialization
Citations

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

Fields of papers citing papers by Duc M

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202048
2 201427
3 202025
4 201823
5 202021
6
Spectrum of mutations in the RB1 gene in Vietnamese patients with retinoblastoma.
201917
7
Association of ADIPOQ Single-Nucleotide Polymorphisms with the Two Clinical Phenotypes Type 2 Diabetes Mellitus and Metabolic Syndrome in a Kinh Vietnamese Population
202216
8 202516
9 201815
10 202014
11 201913
12 202113
13 202112
14 202211
15 202310
16 20237
17 20246
18 20246
19 20195
20 20224

About Duc M

Duc M is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Nephrology, Rheumatology and Pathology and Forensic Medicine, having authored 43 papers that have together received 345 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (5 papers), Renin-Angiotensin System Studies (3 papers), Urticaria and Related Conditions (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Blood Pressure and Hypertension Studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Autoimmune Bullous Skin Diseases (2 papers) and Folate and B Vitamins Research (2 papers). The work is most often cited by research in Nephrology (56 citations), Developmental Neuroscience (19 citations), Rheumatology (37 citations), Neurology (20 citations) and Neurology (30 citations). Duc M has collaborated with scholars based in Vietnam, France and United States. Frequent co-authors include Antonello Mallamaci, Hoàng Anh Vũ, Thomas Bardin, Pascal Richette, Enrico Cherubini, Matthieu Resche‐Rigon, Emmanuel Letavernier, Jean-Michel Corréas, Trần Ngọc Đăng and Thang Viet Tran. Their work appears in journals such as Medicine, Frontiers in Cardiovascular Medicine, PLoS ONE, Brain and Behavior and Lara D. Veeken.

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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