Meng‐Feng Tsai

2.4k total citations
57 papers, 1.9k citations indexed

About

Meng‐Feng Tsai is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Meng‐Feng Tsai has authored 57 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 17 papers in Pulmonary and Respiratory Medicine and 16 papers in Molecular Biology. Recurrent topics in Meng‐Feng Tsai's work include Lung Cancer Treatments and Mutations (17 papers), Cancer Cells and Metastasis (6 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Meng‐Feng Tsai is often cited by papers focused on Lung Cancer Treatments and Mutations (17 papers), Cancer Cells and Metastasis (6 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Meng‐Feng Tsai collaborates with scholars based in Taiwan, United States and China. Meng‐Feng Tsai's co-authors include Pan‐Chyr Yang, Jin‐Yuan Shih, James Chih‐Hsin Yang, Shang‐Gin Wu, Chong‐Jen Yu, Yih‐Leong Chang, Jeremy J.W. Chen, Tzu‐Hua Chang, Pei‐Li Yao and Yinan Liu and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Meng‐Feng Tsai

55 papers receiving 1.9k citations

Peers

Meng‐Feng Tsai
Comparison fields: 5 of 118
  • Pulmonary and Respiratory Medicine 900
  • Oncology 856
  • Molecular Biology 746
  • Cancer Research 447
  • Immunology 290
Humam Kadara United States
Jiansong Ji China
Deepa S. Subramaniam United States
Weiheng Zhao China
Triparna Sen United States
Linping Xu China
He Ren China
Ximing Xu China
Xin Xu China
Delphine Mérino Australia
Humam Kadara United States View profile →
Citations per field, relative to Meng‐Feng Tsai
Meng‐Feng Tsai · 1×
Citations per year, relative to Meng‐Feng Tsai
Meng‐Feng Tsai · 1×

Countries citing papers authored by Meng‐Feng Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Meng‐Feng Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng‐Feng Tsai. 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 Meng‐Feng Tsai. The network helps show where Meng‐Feng Tsai may publish in the future.

Co-authorship network of co-authors of Meng‐Feng Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Meng‐Feng Tsai. A scholar is included among the top collaborators of Meng‐Feng Tsai 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 Meng‐Feng Tsai. Meng‐Feng Tsai 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 14
2 12
3 4
4 6
5 6
6 38
7 27
8 16
9 66
10 20
11 2
12 79
13 129
14 31
15 80
16 43
17 57
18 189
19 22
20 44

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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