Tan To Cheung

11.0k citations
252 papers · 6.8k indexed · 1 hit paper · h-index 43
  • Hepatology top 0.1%
    • Hepatocellular Carcinoma Treatment and Prognosis 154
    • Liver Disease and Transplantation 54
    • Liver Disease Diagnosis and Treatment 65
    • Hepatitis B Virus Studies 27
  • Oncology top 2%
    • Pancreatic and Hepatic Oncology Research 42
  • Surgery top 1%
    • Cholangiocarcinoma and Gallbladder Cancer Studies 59
    • Organ Transplantation Techniques and Outcomes 48
    • Gallbladder and Bile Duct Disorders 18

Tan To Cheung

247 papers receiving 6.7k citations

Hit Papers

Updated use of TACE for hepatocellular carcinoma treatmen...4292018202620202023100200300400

Peers

Tan To Cheung
Comparison fields: 5 of 122
  • Hepatology 4.3k
  • Cancer Research 1.1k
  • Epidemiology 2.3k
  • Oncology 1.6k
  • Surgery 2.3k
Replace Ksh Chok with:
Ksh Chok Hong Kong
Manel Solé Spain
Albert Chan Hong Kong
Josep Fuster Spain
Mercedes Iñarrairaegui Spain
Si Hyun Bae South Korea
Chung‐Mau Lo Hong Kong
Kelvin K. Ng Hong Kong
Iwao Ikai Japan
Gonzalo Sapisochín Canada
Tan To Cheung relative to Ksh Chok Hong Kong Ksh Chok's profile →
Citations per field
00.5×1.5×2.0×
Ksh Chok · 1×
Citations per year

Countries citing papers authored by Tan To Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Tan To Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tan To Cheung. 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 Tan To Cheung. The network helps show where Tan To Cheung may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20243
4 20237
5 202217
6 202119
7 20204
8 20206
9 202038
10 20198
11 201948
12 20183
13 201760
14 201748
15 201710
16 201771
17 201687
18 201615
19 201437
20 201269

About Tan To Cheung

Tan To Cheung is a scholar working on Hepatology, Oncology and Surgery, having authored 252 papers that have together received 6.8k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (154 papers), Liver Disease Diagnosis and Treatment (65 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (59 papers), Liver Disease and Transplantation (54 papers), Organ Transplantation Techniques and Outcomes (48 papers), Pancreatic and Hepatic Oncology Research (42 papers), Hepatitis B Virus Studies (27 papers) and Gallbladder and Bile Duct Disorders (18 papers). The work is most often cited by research in Hepatology (4.3k citations), Cancer Research (1.1k citations) and Epidemiology (2.3k citations). Tan To Cheung has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Ksh Chok, Albert Chan, Chung Mau Lo, Sheung Tat Fan, See Ching Chan, Wing Chiu Dai, Kelvin K. Ng, Ronnie T.P. Poon, Ronnie T. P. Poon and James Fung.

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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