Sheung-Fat Ko

1.3k total citations
44 papers, 962 citations indexed

About

Sheung-Fat Ko is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Sheung-Fat Ko has authored 44 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 21 papers in Surgery and 8 papers in Oncology. Recurrent topics in Sheung-Fat Ko's work include Cancer and Skin Lesions (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers) and Gallbladder and Bile Duct Disorders (5 papers). Sheung-Fat Ko is often cited by papers focused on Cancer and Skin Lesions (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers) and Gallbladder and Bile Duct Disorders (5 papers). Sheung-Fat Ko collaborates with scholars based in Taiwan, United States and Australia. Sheung-Fat Ko's co-authors include Shu‐Hang Ng, Shyr‐Ming Sheen‐Chen, Tzu-Chen Yen, Hung-Ming Wang, Chun-Ta Liao, Sheng-Chieh Chan, Ho-Fai Wong, Hock-Liew Eng, S.-H. Ng and Jui‐Wei Lin and has published in prestigious journals such as PLoS ONE, Radiology and American Journal of Roentgenology.

In The Last Decade

Sheung-Fat Ko

42 papers receiving 932 citations

Peers

Sheung-Fat Ko
Comparison fields: 5 of 70
  • Surgery 459
  • Pulmonary and Respiratory Medicine 309
  • Otorhinolaryngology 286
  • Oncology 210
  • Radiology, Nuclear Medicine and Imaging 207
Replace H. Steinkamp with:
H. Steinkamp Germany
Rosa M. Dávila United States
Giuseppe Cittadini Italy
Matthew A. Zarka United States
Supreeta Arya India
Annika Eigtved Denmark
Jianguo Zhang China
Mark Stevens Australia
Antonio Bosch United States
P Baldeyrou France
H. Steinkamp Germany View profile →
Citations per field, relative to Sheung-Fat Ko
Sheung-Fat Ko · 1×
Citations per year, relative to Sheung-Fat Ko
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Countries citing papers authored by Sheung-Fat Ko

Since Specialization
Citations

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

Fields of papers citing papers by Sheung-Fat Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheung-Fat Ko. 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 Sheung-Fat Ko. The network helps show where Sheung-Fat Ko may publish in the future.

Co-authorship network of co-authors of Sheung-Fat Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Sheung-Fat Ko. A scholar is included among the top collaborators of Sheung-Fat Ko 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 Sheung-Fat Ko. Sheung-Fat Ko 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
# Work Indexed citations
1 11
2 50
3 14
4 7
5 25
6 4
7 41
8 3
9 5
10 10
11 23
12 13
13 56
14 18
15 11
16 46
17 5
18 13
19 6
20 21

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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