Vân Nguyên-Trân

1.5k citations
22 papers · 844 · h-index 12

Impact in

Papers in

Vân Nguyên-Trân

22 papers receiving 839 citations

Peers

Vân Nguyên-Trân
Comparison fields: 5 of 90
  • Cardiology and Cardiovascular Medicine 297
  • Molecular Biology 581
  • Cellular and Molecular Neuroscience 124
  • Endocrinology, Diabetes and Metabolism 69
  • Physiology 93
Replace Christian Ried with:
Christian Ried Germany
Saverio Gentile United States
Rhonda L. Carter United States
Adele Stewart United States
Nicole Mayer Austria
Rong Huo China
Caimei Zhang China
Randal M. Bugianesi United States
Seu-Mei Wang Taiwan
Tomohiro Noguchi Japan
Vân Nguyên-Trân relative to Christian Ried Germany Christian Ried's profile →
Citations per field
00.5×1.5×2.0×
Christian Ried · 1×
Citations per year

Countries citing papers authored by Vân Nguyên-Trân

Since Specialization
Citations

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

Fields of papers citing papers by Vân Nguyên-Trân

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vân Nguyên-Trân. 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 Vân Nguyên-Trân. The network helps show where Vân Nguyên-Trân may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001344
2 2009125
3 2000102
4 202042
5 200936
6 202026
7 201626
8 202323
9 202021
10 201617
11 201914
12 202113
13 202411
14 20199
15 20198
16 20226
17 20226
18 20116
19 20204
20 20162

About Vân Nguyên-Trân

Vân Nguyên-Trân is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 22 papers that have together received 844 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (7 papers), Neuropeptides and Animal Physiology (7 papers), Receptor Mechanisms and Signaling (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Ion channel regulation and function (3 papers), Pancreatic function and diabetes (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (297 citations), Molecular Biology (581 citations), Cellular and Molecular Neuroscience (124 citations), Endocrinology, Diabetes and Metabolism (69 citations) and Physiology (93 citations). Vân Nguyên-Trân has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Wayne R. Giles, Kenneth R. Chien, Robert B. Clark, Masahiko Hoshijima, Ching‐Feng Cheng, Yasuhiro Ikeda, Jenny Lin, Hai-Chien Kuo, John Ross and Po‐Hsien Chu. Their work appears in journals such as Journal of Medicinal Chemistry, Proceedings of the National Academy of Sciences, Acta Pharmaceutica Sinica B, Cell and ACS Chemical Biology.

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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