Chih‐Yen Tu

4.3k total citations
164 papers, 2.8k citations indexed

About

Chih‐Yen Tu is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Epidemiology. According to data from OpenAlex, Chih‐Yen Tu has authored 164 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Pulmonary and Respiratory Medicine, 38 papers in Oncology and 34 papers in Epidemiology. Recurrent topics in Chih‐Yen Tu's work include Lung Cancer Diagnosis and Treatment (33 papers), Lung Cancer Treatments and Mutations (29 papers) and Pleural and Pulmonary Diseases (28 papers). Chih‐Yen Tu is often cited by papers focused on Lung Cancer Diagnosis and Treatment (33 papers), Lung Cancer Treatments and Mutations (29 papers) and Pleural and Pulmonary Diseases (28 papers). Chih‐Yen Tu collaborates with scholars based in Taiwan, United States and China. Chih‐Yen Tu's co-authors include Chia‐Hung Chen, Te‐Chun Hsia, Wu-Huei Hsu, Chuen-Ming Shih, Hung‐Jen Chen, Wei‐Chih Liao, Te‐Chun Shen, Cheng‐Li Lin, Te‐Chun Hsia and Wei‐Chien Huang and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Cancer Cell.

In The Last Decade

Chih‐Yen Tu

158 papers receiving 2.7k citations

Peers

Chih‐Yen Tu
Comparison fields: 5 of 131
  • Pulmonary and Respiratory Medicine 1.4k
  • Critical Care and Intensive Care Medicine 501
  • Oncology 487
  • Molecular Biology 485
  • Surgery 401
Replace Chia‐Hung Chen with:
Chia‐Hung Chen Taiwan
Wen‐Feng Fang Taiwan
Chul‐Gyu Yoo South Korea
Hao‐Chien Wang Taiwan
Carmen Mikacenic United States
György Frendl United States
Wu-Huei Hsu Taiwan
Arno Vanstapel Belgium
Zongan Liang China
Min Ki Lee South Korea
Chia‐Hung Chen Taiwan View profile →
Citations per field, relative to Chih‐Yen Tu
Chih‐Yen Tu · 1×
Citations per year, relative to Chih‐Yen Tu
Chih‐Yen Tu · 1×

Countries citing papers authored by Chih‐Yen Tu

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Yen Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih‐Yen Tu. 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 Chih‐Yen Tu. The network helps show where Chih‐Yen Tu may publish in the future.

Co-authorship network of co-authors of Chih‐Yen Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Yen Tu. A scholar is included among the top collaborators of Chih‐Yen Tu 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 Chih‐Yen Tu. Chih‐Yen Tu 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 1
2 4
3 3
4 3
5 11
6 1
7 1
8 13
9 1
10 0
11 4
12 1
13 4
14 7
15 32
16 32
17 3
18 51
19 34
20 1

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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