Nam-Hung Chia

869 total citations · 1 hit paper
24 papers, 582 citations indexed

About

Nam-Hung Chia is a scholar working on Oncology, Hepatology and Surgery. According to data from OpenAlex, Nam-Hung Chia has authored 24 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Hepatology and 7 papers in Surgery. Recurrent topics in Nam-Hung Chia's work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Simulation-Based Education in Healthcare (5 papers) and Pancreatic and Hepatic Oncology Research (5 papers). Nam-Hung Chia is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Simulation-Based Education in Healthcare (5 papers) and Pancreatic and Hepatic Oncology Research (5 papers). Nam-Hung Chia collaborates with scholars based in China, Hong Kong and United Kingdom. Nam-Hung Chia's co-authors include Moon‐Tong Cheung, Irene Lo, Irene Oi‐Lin Ng, Albert Chan, Joyce Man‐Fong Lee, Daniel Wai‐Hung Ho, Elaine Tin-Yan Cheung, Xin Zhang, Yu‐Man Tsui and Tan-To Cheung and has published in prestigious journals such as Nature Communications, Hepatology and Journal of Hepatology.

In The Last Decade

Nam-Hung Chia

23 papers receiving 559 citations

Hit Papers

Single-cell RNA sequencing shows the immunosuppressive la... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nam-Hung Chia China 10 231 226 115 109 108 24 582
Yanyu Wang China 13 151 0.7× 166 0.7× 44 0.4× 51 0.5× 81 0.8× 46 441
Francis Spitz United States 11 158 0.7× 264 1.2× 45 0.4× 15 0.1× 108 1.0× 33 621
Bruno Sensi Italy 12 213 0.9× 156 0.7× 44 0.4× 39 0.4× 58 0.5× 49 490
Leandro Siragusa Italy 12 247 1.1× 134 0.6× 35 0.3× 43 0.4× 48 0.4× 53 507
Xue Han China 13 59 0.3× 129 0.6× 45 0.4× 71 0.7× 168 1.6× 35 471
Clare Walker United Kingdom 12 104 0.5× 226 1.0× 46 0.4× 11 0.1× 146 1.4× 20 594
Max O. Meneveau United States 14 140 0.6× 318 1.4× 269 2.3× 7 0.1× 68 0.6× 35 647
Clair du Boulay United Kingdom 8 191 0.8× 112 0.5× 40 0.3× 19 0.2× 30 0.3× 14 588
V. Oliver Spain 12 49 0.2× 273 1.2× 70 0.6× 57 0.5× 101 0.9× 40 517
Susan L. Groshen United States 10 286 1.2× 93 0.4× 74 0.6× 24 0.2× 90 0.8× 12 535

Countries citing papers authored by Nam-Hung Chia

Since Specialization
Citations

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

Fields of papers citing papers by Nam-Hung Chia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nam-Hung Chia. 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 Nam-Hung Chia. The network helps show where Nam-Hung Chia may publish in the future.

Co-authorship network of co-authors of Nam-Hung Chia

This figure shows the co-authorship network connecting the top 25 collaborators of Nam-Hung Chia. A scholar is included among the top collaborators of Nam-Hung Chia 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 Nam-Hung Chia. Nam-Hung Chia 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.
Hui, Rex Wan‐Hin, K.W. Chiu, Ho Ming Cheng, et al.. (2024). Multimodal multiphasic preoperative image-based deep-learning predicts HCC outcomes after curative surgery. Hepatology. 82(2). 344–356. 1 indexed citations
2.
Zhang, Qingyang, Yu‐Man Tsui, Xin Zhang, et al.. (2024). Reciprocal interactions between malignant cells and macrophages enhance cancer stemness and M2 polarization in HBV-associated hepatocellular carcinoma. Theranostics. 14(2). 892–910. 23 indexed citations
3.
Chiu, K.W., Chi‐Leung Chiang, Hui Yuan, et al.. (2024). Dual-tracer PET/CT in the management of hepatocellular carcinoma. JHEP Reports. 6(7). 101099–101099. 2 indexed citations
6.
Cheung, Tan To, Simon C.H. Yu, Stephen L. Chan, et al.. (2022). The Hong Kong consensus statements on unresectable hepatocellular carcinoma: narrative review and update for 2021. HepatoBiliary Surgery and Nutrition. 12(3). 366–385. 7 indexed citations
7.
Chia, Nam-Hung, et al.. (2022). Harnessing power of simulation training effectiveness with Kirkpatrick model in emergency surgical airway procedures. Heliyon. 8(10). e10886–e10886. 4 indexed citations
8.
Yu, Bruce X. B., et al.. (2022). Intent-Aware Long Short-Term Memory for Intelligent Training of Clinical Handover. 109. 11–16. 1 indexed citations
9.
Yu, Bruce X. B., et al.. (2022). Heallo: Conversational System for Communication Training in Healthcare Professional Education. 6. 32–36. 2 indexed citations
10.
Ho, Daniel Wai‐Hung, Yu‐Man Tsui, Lo‐Kong Chan, et al.. (2021). Single-cell RNA sequencing shows the immunosuppressive landscape and tumor heterogeneity of HBV-associated hepatocellular carcinoma. Nature Communications. 12(1). 3684–3684. 214 indexed citations breakdown →
11.
Chia, Nam-Hung, et al.. (2021). Multidisciplinary simulation training for endotracheal intubation during COVID-19 in one Hong Kong regional hospital: strengthening of existing procedures and preparedness. BMJ Simulation & Technology Enhanced Learning. 7(6). 501–509. 6 indexed citations
12.
Tang, Yuk Ming, et al.. (2020). Application of virtual reality ( VR ) technology for medical practitioners in type and screen (T&S) training. Journal of Computer Assisted Learning. 37(2). 359–369. 34 indexed citations
13.
14.
Kwok, Philip Chong‐hei, Stephen L. Chan, Ann‐Shing Lee, et al.. (2018). Hong Kong Consensus Statements for the Management of Unresectable Hepatocellular Carcinoma. Liver Cancer. 7(1). 40–54. 26 indexed citations
15.
Chia, Nam-Hung, Eric C. H. Lai, & Wan Yee Lau. (2014). Associating liver partition and portal vein ligation for a patient with hepatocellular carcinoma with a background of hepatitis B related fibrotic liver. International Journal of Surgery Case Reports. 5(12). 1077–1081. 11 indexed citations
16.
Kwok, Philip Chong‐hei, et al.. (2014). Survival benefit of radioembolization for inoperable hepatocellular carcinoma using yttrium‐90 microspheres. Journal of Gastroenterology and Hepatology. 29(11). 1897–1904. 11 indexed citations
17.
Chia, Nam-Hung, et al.. (2010). If not appendicitis, then what else can it be? A retrospective review of 1492 appendectomies.. PubMed. 16(1). 12–7. 68 indexed citations
18.
Kwok, Philip Chong‐hei, et al.. (2003). Randomized controlled trial to compare the dose of adjuvant chemotherapy after curative resection of hepatocellular carcinoma. Journal of Gastroenterology and Hepatology. 18(4). 450–455. 21 indexed citations
19.
Cheung, Moon‐Tong, et al.. (2001). Surgical treatment of parastomal hernia complicating sigmoid colostomies. Diseases of the Colon & Rectum. 44(2). 266–270. 108 indexed citations
20.
Chia, Nam-Hung, et al.. (1998). The investigation and management of thyroid nodules--a retrospective review of 183 cases.. PubMed. 27(2). 196–9. 7 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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