Shir‐Hwa Ueng

78 papers and 1.7k indexed citations i.

About

Shir‐Hwa Ueng is a scholar working on Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shir‐Hwa Ueng has authored 78 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Oncology, 22 papers in Pathology and Forensic Medicine and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shir‐Hwa Ueng’s work include Breast Lesions and Carcinomas (13 papers), Breast Cancer Treatment Studies (13 papers) and AI in cancer detection (10 papers). Shir‐Hwa Ueng is often cited by papers focused on Breast Lesions and Carcinomas (13 papers), Breast Cancer Treatment Studies (13 papers) and AI in cancer detection (10 papers). Shir‐Hwa Ueng collaborates with scholars based in Taiwan, United States and Japan. Shir‐Hwa Ueng's co-authors include Fattaneh A. Tavassoli, Yun‐Chung Cheung, Yung‐Feng Lo, Chuen Hsueh, Hsiu-Pei Tsai, Shin‐Cheh Chen, Kai‐Ping Chang, Sheng‐Po Hao, Yu‐Ching Lin and Wen‐Yu Chuang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Shir‐Hwa Ueng i

Fields of papers citing papers by Shir‐Hwa Ueng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shir‐Hwa Ueng. 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 Shir‐Hwa Ueng. The network helps show where Shir‐Hwa Ueng may publish in the future.

Countries citing papers authored by Shir‐Hwa Ueng

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025