Jun Maeda
Impact in
-
- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Coronary Artery Anomalies
- Molecular Biology top 10%
- Congenital heart defects research
- Developmental Biology and Gene Regulation
Papers in
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- Lung Cancer Diagnosis and Treatment 7
- Tracheal and airway disorders 6
- Pulmonary Hypertension Research and Treatments 5
- Pleural and Pulmonary Diseases 4
- Epidemiology 22
- Congenital Heart Disease Studies 18
- Co-authors
- Hiroyuki Yamagishi (28 shared papers)Deepak Srivastava (7 shared papers)Masahiko Higashiyama (26 shared papers)Ken Kodama (26 shared papers)Chihiro Yamagishi (8 shared papers)Jiro Okami (27 shared papers)John McAnally (3 shared papers)Tonghuan Hu (3 shared papers)
- Journals
- Lung Cancer (5 papers)Surgery Today (4 papers)Heart and Vessels (4 papers)Brain Research (3 papers)European Journal of Cardio-Thoracic Surgery (3 papers)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Jun Maeda
104 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 133
- Pulmonary and Respiratory Medicine 727
- Molecular Biology 1.1k
- Epidemiology 452
- Neurology 115
- Cellular and Molecular Neuroscience 235
Countries citing papers authored by Jun Maeda
This map shows the geographic impact of Jun Maeda'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 Jun Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Maeda more than expected).
Fields of papers citing papers by Jun Maeda
This network shows the impact of papers produced by Jun Maeda. 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 Jun Maeda. The network helps show where Jun Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 218 | |
| 2 | 2004 | 210 | |
| 3 | 2005 | 142 | |
| 4 | 1981 | 128 | |
| 5 | 2010 | 122 | |
| 6 | 2011 | 120 | |
| 7 | 2010 | 101 | |
| 8 | 2010 | 95 | |
| 9 | 2010 | 82 | |
| 10 | 2007 | 78 | |
| 11 | 2000 | 78 | |
| 12 | 2006 | 77 | |
| 13 | 1998 | 70 | |
| 14 | 2010 | 64 | |
| 15 | 2008 | 60 | |
| 16 | 1987 | 60 | |
| 17 | 1982 | 53 | |
| 18 | 2010 | 47 | |
| 19 | 2005 | 45 | |
| 20 | 2011 | 43 |
About Jun Maeda
Jun Maeda is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine, having authored 115 papers that have together received 2.9k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (18 papers), Congenital heart defects research (13 papers), Neuroscience and Neuropharmacology Research (7 papers), Lung Cancer Diagnosis and Treatment (7 papers), Tracheal and airway disorders (6 papers), Pulmonary Hypertension Research and Treatments (5 papers), Membrane Separation Technologies (5 papers) and Pleural and Pulmonary Diseases (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (727 citations), Molecular Biology (1.1k citations), Epidemiology (452 citations), Neurology (115 citations) and Cellular and Molecular Neuroscience (235 citations). Jun Maeda has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Hiroyuki Yamagishi, Deepak Srivastava, Masahiko Higashiyama, Ken Kodama, Chihiro Yamagishi, Jiro Okami, John McAnally, Tonghuan Hu, Toshiteru Tokunaga and Tomio Nakayama. Their work appears in journals such as Lung Cancer, Surgery Today, Heart and Vessels, Brain Research and European Journal of Cardio-Thoracic Surgery.
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.