Yu-Feng Wei

656 total citations
24 papers, 215 citations indexed

About

Yu-Feng Wei is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Surgery. According to data from OpenAlex, Yu-Feng Wei has authored 24 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 6 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in Yu-Feng Wei's work include Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), Lung Cancer Research Studies (4 papers) and Mycobacterium research and diagnosis (4 papers). Yu-Feng Wei is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), Lung Cancer Research Studies (4 papers) and Mycobacterium research and diagnosis (4 papers). Yu-Feng Wei collaborates with scholars based in Taiwan, China and Japan. Yu-Feng Wei's co-authors include Wu‐Huei Hsu, Cheng‐Li Lin, Jun‐Jun Yeh, Chin‐Feng Hsuan, Huey‐Dong Wu, Chi‐Ming Tai, Hao‐Chien Wang, Shih-Lung Cheng, Pan‐Chyr Yang and Chih‐Kun Huang and has published in prestigious journals such as Analytical Biochemistry, The Journal of Infectious Diseases and International Journal of Pharmaceutics.

In The Last Decade

Yu-Feng Wei

21 papers receiving 211 citations

Peers

Yu-Feng Wei
Comparison fields: 5 of 65
  • Pulmonary and Respiratory Medicine 127
  • Physiology 70
  • Surgery 52
  • Epidemiology 46
  • Oncology 41
Replace Mark Godfrey with:
Mark Godfrey United States
M.S. Barthwal India
Sandhya Matthes Germany
Inbal Golomb Israel
Peter Grendelmeier Switzerland
Sibel Arınç Türkiye
B. Delclaux France
J. Hetzel Germany
Murat Korkmaz Türkiye
Dionne C.W. Braeken Netherlands
Mark Godfrey United States View profile →
Citations per field, relative to Yu-Feng Wei
Yu-Feng Wei · 1×
Citations per year, relative to Yu-Feng Wei
Yu-Feng Wei · 1×

Countries citing papers authored by Yu-Feng Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Feng Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Feng Wei. 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 Yu-Feng Wei. The network helps show where Yu-Feng Wei may publish in the future.

Co-authorship network of co-authors of Yu-Feng Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Feng Wei. A scholar is included among the top collaborators of Yu-Feng Wei 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 Yu-Feng Wei. Yu-Feng Wei 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 0
2 0
3 0
4 1
5 1
6 4
7 4
8 4
9 7
10 1
11 9
12 8
13 18
14 15
15 24
16 12
17 10
18 25
19 22
20 6

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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