Cuong Hoang‐Vu

5.9k citations
102 papers · 3.7k indexed · h-index 34

Impact in

Papers in

Cuong Hoang‐Vu

102 papers receiving 3.6k citations

Peers

Cuong Hoang‐Vu
Comparison fields: 5 of 119
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Cancer Research 741
  • Oncology 836
  • Molecular Biology 2.0k
  • Immunology and Allergy 104
Replace Bassem R. Haddad with:
Bassem R. Haddad United States
R Rubin United States
Maria Domenica Castellone Italy
Dimitris Kardassis Greece
Eva Surmacz United States
Maria Grazia Borrello Italy
Irwin Leav United States
Sandya Liyanarachchi United States
Enke Baldini Italy
Alessandro Cama Italy
Cuong Hoang‐Vu relative to Bassem R. Haddad United States Bassem R. Haddad's profile →
Citations per field
00.5×1.5×2.1×
Bassem R. Haddad · 1×
Citations per year

Countries citing papers authored by Cuong Hoang‐Vu

Since Specialization
Citations

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

Fields of papers citing papers by Cuong Hoang‐Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20218
3 201529
4 201535
5 201513
6 201225
7 201027
8 200982
9 20091
10 200662
11
Role of CD97(superscript stalk) and CD55 as Molecular Markers for Prognosis and Therapy of Gastric Carcinoma Patients
20052
12 200310
13 200357
14 20036
15 200347
16 200217
17 199923
18 1999112
19 199834
20 199511

About Cuong Hoang‐Vu

Cuong Hoang‐Vu is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Oncology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 102 papers that have together received 3.7k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (20 papers), Cancer-related Molecular Pathways (14 papers), Pregnancy-related medical research (13 papers), Thyroid Disorders and Treatments (8 papers), Receptor Mechanisms and Signaling (8 papers), Wnt/β-catenin signaling in development and cancer (7 papers), Ubiquitin and proteasome pathways (6 papers) and Telomeres, Telomerase, and Senescence (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Cancer Research (741 citations), Oncology (836 citations), Molecular Biology (2.0k citations) and Immunology and Allergy (104 citations). Cuong Hoang‐Vu has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Henning Dralle, Oliver Gimm, Thomas Klonisch, Sabine Hombach‐Klonisch, Georg Brabant, Astrid Kehlen, Juliane Braun, Stefan Hüttelmaier, Josef Köhrle and Undraga Schagdarsurengin. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Oncogene, International Journal of Oncology, International Journal of Cancer and Oncology Reports.

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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