Ming‐Fang Wu

183 papers receiving 5.6k citations

Peers

Ming‐Fang Wu
Comparison fields: 5 of 148
  • Endocrine and Autonomic Systems 513
  • Otorhinolaryngology 198
  • Cognitive Neuroscience 626
  • Infectious Diseases 575
  • Pulmonary and Respiratory Medicine 970
Replace Takeshi Shimizu with:
Takeshi Shimizu Japan
Zhi Wang China
Peter Kopp United States
Cormac T. Taylor Ireland
Takuya Shiraishi Japan
Meng Chen China
Jürgen Scheller Germany
Haibo Wang China
Garry R. Cutting United States
Toshio Watanabe Japan
Ming‐Fang Wu relative to Takeshi Shimizu Japan Takeshi Shimizu's profile →
Citations per field
00.5×6.3×
Takeshi Shimizu · 1×
Citations per year

Countries citing papers authored by Ming‐Fang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Fang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Fang Wu. 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 Ming‐Fang Wu. The network helps show where Ming‐Fang Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Ming‐Fang Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming‐Fang Wu Line = papers co-authored together Ming‐Fang Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20241
4 20242
5 20233
6 20232
7 20232
8 201913
9 20192
10 201814
11 201627
12 20165
13
[Primary pelvic retroperitoneal tumors: clinical analysis of 36 cases].
20141
14 201169
15 201020
16 200823
17 2007112
18
An observational study on the empiric use of cefpirome in febrile neutropenia.
20071
19 20063
20 2002160

About Ming‐Fang Wu

Ming‐Fang Wu is a scholar working on Otorhinolaryngology, Oncology, Reproductive Medicine, Pulmonary and Respiratory Medicine and Endocrine and Autonomic Systems, having authored 190 papers that have together received 5.7k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (19 papers), Fungal Biology and Applications (13 papers), Head and Neck Cancer Studies (12 papers), Ovarian cancer diagnosis and treatment (11 papers), Sleep and Wakefulness Research (10 papers), Lung Cancer Diagnosis and Treatment (9 papers), Lung Cancer Research Studies (9 papers) and Muscle activation and electromyography studies (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (513 citations), Otorhinolaryngology (198 citations), Cognitive Neuroscience (626 citations), Infectious Diseases (575 citations) and Pulmonary and Respiratory Medicine (970 citations). Ming‐Fang Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Susan J. Gunst, Jerome M. Siegel, Maud M. Morshedi, John D. Helmann, Christopher J. Paddon, Shie‐Liang Hsieh, Yi‐Ling Lin, Jiunn‐Liang Ko, Joshi John and Richard A. Meiss. Their work appears in journals such as American Journal of Physiology-Cell Physiology, PLoS ONE, Scientific Reports, International Journal of Cancer and British Journal of Cancer.

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
2026