Cuong Tran

1.1k citations
23 papers · 777 · h-index 12

Impact in

Papers in

Cuong Tran

21 papers receiving 712 citations

Peers

Cuong Tran
Comparison fields: 5 of 85
  • Radiology, Nuclear Medicine and Imaging 365
  • Oncology 197
  • Biotechnology 62
  • Gastroenterology 38
  • Molecular Biology 455
Replace Johannes Schilling with:
Johannes Schilling Germany
Kosi Gramatikoff United States
Sigrid Kisling Germany
Stephanie Day Australia
Michael Weichel Switzerland
Takaki Waritani Japan
Armand Berneman France
Steven A. Erickson United States
Maya K. Sethi Germany
Jonathan Sjögren Sweden
Cuong Tran relative to Johannes Schilling Germany Johannes Schilling's profile →
Citations per field
00.5×2.7×
Johannes Schilling · 1×
Citations per year

Countries citing papers authored by Cuong Tran

Since Specialization
Citations

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

Fields of papers citing papers by Cuong Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014277
2 2012111
3 201576
4 201468
5 201540
6 201039
7 200433
8 201832
9 201627
10 201625
11 201815
12 200913
13 20236
14
Significant hepatic fibrosis is associated with increased small intestinal permeability
20134
15
Increased small intestinal permeability in chronic liver disease is associated with reduced abundance of Faecalibacterium prausnitzii in the terminal ileum mucosa
20162
16 20232
17 19972
18 20162
19 20251
20 19891

About Cuong Tran

Cuong Tran is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Surgery and Epidemiology, having authored 23 papers that have together received 777 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), CAR-T cell therapy research (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Protein purification and stability (3 papers), HIV Research and Treatment (2 papers), HER2/EGFR in Cancer Research (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (365 citations), Oncology (197 citations), Biotechnology (62 citations), Gastroenterology (38 citations) and Molecular Biology (455 citations). Cuong Tran has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Gang Yin, Alexander Steiner, Aaron K. Sato, Trevor J. Hallam, Tyler H. Heibeck, Christopher J L Murray, Sunil Bajad, Kalyani Penta, James Zawada and Xiaofan Li. Their work appears in journals such as mAbs, Molecular Cancer Therapeutics, The Pediatric Infectious Disease Journal, Gastroenterology and Cancer Research.

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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