Phạm Trần Phương

579 citations
15 papers · 307 indexed · h-index 9
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)Liver Disease Diagnosis and Treatment (4 papers)Adipokines, Inflammation, and Metabolic Diseases (3 papers)

In The Last Decade

Phạm Trần Phương

15 papers receiving 302 citations

Peers

Phạm Trần Phương
Comparison fields: 5 of 75
  • Molecular Biology 98
  • Endocrinology, Diabetes and Metabolism 95
  • Cardiology and Cardiovascular Medicine 63
  • Epidemiology 50
  • Physiology 47
Replace Gui Hua Wang with:
Gui Hua Wang China
Wojciech Jańczyk Poland
Beáta Gasztonyi Hungary
Anna Rosa Soresina Italy
Noppadol Kietsiriroje Thailand
Adrian Kruit Netherlands
Josep M. Simó Spain
David Mathews United States
Mikio Sugano Japan
Ana B. Hidalgo Spain
Phạm Trần Phương relative to Gui Hua Wang China Gui Hua Wang's profile →
Citations per field
00.5×10×14×
Gui Hua Wang · 1×
Citations per year

Countries citing papers authored by Phạm Trần Phương

Since Specialization
Citations

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

Fields of papers citing papers by Phạm Trần Phương

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phạm Trần Phương. 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 Phạm Trần Phương. The network helps show where Phạm Trần Phương may publish in the future.

Co-authorship network of co-authors of Phạm Trần Phương

This figure shows the co-authorship network connecting the top 25 collaborators of Phạm Trần Phương. A scholar is included among the top collaborators of Phạm Trần Phương based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Phạm Trần Phương. Phạm Trần Phương is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 5
2 7
3 5
4 8
5 1
6 27
7 8
8 60
9 1
10 8
11 65
12 24
13 35
14 29
15 24

About Phạm Trần Phương

Phạm Trần Phương is a scholar working on Endocrinology, Diabetes and Metabolism, Health Information Management and Hematology, having authored 15 papers that have together received 307 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (95 citations), Internal Medicine (15 citations) and Hematology (39 citations). Phạm Trần Phương has collaborated with scholars based in Vietnam, Japan and United States. Frequent co-authors include Trần Quang Bình, Bùi Thị Nhung, Takeshi Soeki, Kenya Kusunose, Masataka Sata, Hirotsugu Yamada, Shusuke Yagi, Dang Dinh Thoang, Michio Shimabukuro and Daiju Fukuda. Their work appears in journals such as Circulation, Scientific Reports and Gene.

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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