Bich Nguyen

3.0k total citations
98 papers, 2.0k citations indexed

About

Bich Nguyen is a scholar working on Epidemiology, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Bich Nguyen has authored 98 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Epidemiology, 19 papers in Surgery and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Bich Nguyen's work include Liver Disease Diagnosis and Treatment (29 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers) and Ultrasound and Hyperthermia Applications (7 papers). Bich Nguyen is often cited by papers focused on Liver Disease Diagnosis and Treatment (29 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers) and Ultrasound and Hyperthermia Applications (7 papers). Bich Nguyen collaborates with scholars based in Canada, Vietnam and United States. Bich Nguyen's co-authors include Claude Degott, Jacques Belghiti, Benoı̂t Terris, Jean–François Fléjou, An Tang, Jean Spénard, Richard H. Hunt, Hala El‐Zimaity, Michael S. Osato and Loren Laine and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Bich Nguyen

87 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bich Nguyen Canada 22 698 680 672 364 247 98 2.0k
Zongming E. Chen United States 22 613 0.9× 609 0.9× 329 0.5× 172 0.5× 575 2.3× 34 2.5k
Evandro Sobroza de Mello Brazil 25 718 1.0× 700 1.0× 534 0.8× 433 1.2× 309 1.3× 137 2.1k
Liping Chen China 16 430 0.6× 714 1.1× 371 0.6× 458 1.3× 342 1.4× 37 1.9k
Soon Ho Um South Korea 25 852 1.2× 523 0.8× 991 1.5× 186 0.5× 169 0.7× 128 1.8k
Motohide Shimazu Japan 28 425 0.6× 1.4k 2.1× 933 1.4× 367 1.0× 557 2.3× 162 2.8k
William Kemp Australia 26 1.2k 1.8× 481 0.7× 947 1.4× 160 0.4× 140 0.6× 125 2.0k
Germano Perotti Italy 21 1.3k 1.9× 553 0.8× 278 0.4× 122 0.3× 564 2.3× 55 2.2k
Yu‐Fan Cheng Taiwan 31 935 1.3× 2.0k 2.9× 1.8k 2.7× 388 1.1× 333 1.3× 201 3.6k
Carlo Umberto Casciani Italy 28 461 0.7× 690 1.0× 444 0.7× 192 0.5× 268 1.1× 146 2.4k
Qing Li China 21 392 0.6× 384 0.6× 312 0.5× 296 0.8× 231 0.9× 96 1.7k

Countries citing papers authored by Bich Nguyen

Since Specialization
Citations

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

Fields of papers citing papers by Bich Nguyen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bich Nguyen

This figure shows the co-authorship network connecting the top 25 collaborators of Bich Nguyen. A scholar is included among the top collaborators of Bich Nguyen 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 Bich Nguyen. Bich Nguyen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chand, Shreya, et al.. (2025). Current landscape of plasma proteomics from technical innovations to biological insights and biomarker discovery. Communications Chemistry. 8(1). 279–279. 2 indexed citations
2.
Lefebvre, Thierry, Merve Kulbay, Guillaume Gilbert, et al.. (2025). Prospective Comparison of DWI ‐Derived Virtual MR Elastography and Conventional MR Elastography in Metabolic Dysfunction‐Associated Steatotic Liver Disease and Healthy Volunteers. Journal of Magnetic Resonance Imaging. 63(4). 996–1008.
3.
5.
Nguyen, Bich, et al.. (2024). Base‐Catalyzed Synthesis of N‐Aryl Thioacetamides from Multicomponent Reaction of Phenylacetylenes, Sulfur and Anilines. European Journal of Organic Chemistry. 27(10). 6 indexed citations
6.
Trudel, Dominique, et al.. (2024). Cell-Level GNN-Based Prediction of Tumor Regression Grade in Colorectal Liver Metastases From Histopathology Images. PolyPublie (École Polytechnique de Montréal). 1–5. 1 indexed citations
7.
Bilodeau, Laurent, Catherine Huët, Assia Belblidia, et al.. (2023). IL-6 Trans-Signaling Is Increased in Diabetes, Impacted by Glucolipotoxicity, and Associated With Liver Stiffness and Fibrosis in Fatty Liver Disease. Diabetes. 72(12). 1820–1834. 14 indexed citations
8.
Messaoudi, Nouredin, Franck Vandenbroucke‐Menu, Ève Simoneau, et al.. (2023). Homogeneity in immune features between colorectal liver metastases better identifies patients with good prognosis compared to pathological response to preoperative chemotherapy. OncoImmunology. 12(1). 2253642–2253642. 2 indexed citations
9.
Nguyen, Bich, Thaï Thanh Thu Bui, Dinh Hung Mac, et al.. (2023). Sulfur-Promoted Oxidative Condensation of Chalcones with Unsubstituted Cyanoacetamide in DMSO: Access to 3-Cyanopyrid-2-ones. The Journal of Organic Chemistry. 88(15). 11197–11204. 5 indexed citations
10.
Goyon, Vanessa, Aurèle Besse‐Patin, Rodolfo Zunino, et al.. (2023). MAPL loss dysregulates bile and liver metabolism in mice. EMBO Reports. 24(12). e57972–e57972. 6 indexed citations
11.
Nguyên, Hà Trần, et al.. (2023). Long-term stability electrochromic electrodes based on porous tungsten trioxide and nickel oxide films via a facile triple pulse electrodeposition. Ceramics International. 49(20). 33413–33417. 9 indexed citations
13.
Zhang, Hannah, et al.. (2020). Differences in metabolic and liver pathobiology induced by two dietary mouse models of nonalcoholic fatty liver disease. American Journal of Physiology-Endocrinology and Metabolism. 319(5). E863–E876. 21 indexed citations
14.
Gesnik, Marc, Marie‐Hélène Roy Cardinal, François Destrempes, et al.. (2020). In vivo Ultrafast Quantitative Ultrasound and Shear Wave Elastography Imaging on Farm-Raised Duck Livers during Force Feeding. Ultrasound in Medicine & Biology. 46(7). 1715–1726. 13 indexed citations
15.
Gilbert, Guillaume, et al.. (2017). Liver Fibrosis Quantification by Magnetic Resonance Imaging. Topics in Magnetic Resonance Imaging. 26(6). 229–241. 45 indexed citations
16.
Reynolds, Jordan, Roula Albadine, Geneviève Soucy, et al.. (2015). Cytopathology. Laboratory Investigation. 95. 81–115.
17.
Nguyen, Bich, et al.. (2010). Comparative Immunohistochemical Study of the Stroma of Serous and Mucinous Cystic Neoplasms. Pancreas. 40(1). 37–41. 2 indexed citations
18.
Nguyen, Bich, et al.. (2008). Carcinoid tumor of the common bile duct: A rare complication of von Hippel-Lindau syndrome. World Journal of Gastroenterology. 14(8). 1299–1299. 20 indexed citations
19.
Hall, Gregory E., et al.. (1999). Analysis of cell surface properties using derivatized agarose beads. Acta Histochemica. 101(3). 271–279. 9 indexed citations
20.
Nguyen, Bich, et al.. (1998). Determinants of the bronchial response to high molecular weight occupational agents in a dry aerosol form. European Respiratory Journal. 12(4). 885–888. 11 indexed citations

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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