Akihiro Maeda
Impact in
-
- Lung Cancer Diagnosis and Treatment
- Tracheal and airway disorders
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Medical Imaging and Pathology Studies
- Pleural and Pulmonary Diseases
- Immunology top 10%
- Immune cells in cancer
- Phagocytosis and Immune Regulation
Papers in
- Immunology 12
- Immune cells in cancer 7
- Phagocytosis and Immune Regulation 4
- Co-authors
- Keiko HiyamaShinichi IshiokaHiroshi OiwaSeiji OkimasaNoriaki KurimotoYuka MiyazuMasaki MurayamaTeruomi Miyazawa
- Journals
- American Journal of Respiratory and Critical Care Medicine (2 papers)Modern Rheumatology (2 papers)Journal of Biological Chemistry (2 papers)Respirology (2 papers)Analytical Chemistry (2 papers)
- Partner nations
- JapanItalyUnited States
In The Last Decade
Akihiro Maeda
53 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 121
- Pulmonary and Respiratory Medicine 738
- Immunology 357
- Otorhinolaryngology 43
- Hepatology 65
- Biochemistry 57
Countries citing papers authored by Akihiro Maeda
This map shows the geographic impact of Akihiro 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 Akihiro Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiro Maeda more than expected).
Fields of papers citing papers by Akihiro Maeda
This network shows the impact of papers produced by Akihiro 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 Akihiro Maeda. The network helps show where Akihiro Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Akihiro 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 20 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 20 | |
| 6 | 2021 | 67 | |
| 7 | 2018 | 66 | |
| 8 | 2017 | 109 | |
| 9 | 2011 | 63 | |
| 10 | 2010 | 8 | |
| 11 | 2009 | 87 | |
| 12 | 2009 | 78 | |
| 13 | 2007 | 23 | |
| 14 | 2004 | 5 | |
| 15 | 2000 | 62 | |
| 16 | 2000 | 34 | |
| 17 | 1999 | 27 | |
| 18 | 1997 | 75 | |
| 19 | 1996 | 28 | |
| 20 | 1996 | 86 |
About Akihiro Maeda
Akihiro Maeda is a scholar working on Microbiology, Immunology, Biophysics, Pulmonary and Respiratory Medicine and Hematology, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers), Immune cells in cancer (7 papers), Nanoplatforms for cancer theranostics (4 papers), Medical Imaging and Pathology Studies (4 papers), Phagocytosis and Immune Regulation (4 papers), Sarcoidosis and Beryllium Toxicity Research (3 papers), Nanoparticle-Based Drug Delivery (3 papers) and Inflammatory Myopathies and Dermatomyositis (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (738 citations), Immunology (357 citations), Otorhinolaryngology (43 citations), Hepatology (65 citations) and Biochemistry (57 citations). Akihiro Maeda has collaborated with scholars based in Japan, Italy and United States. Frequent co-authors include Keiko Hiyama, Shinichi Ishioka, Hiroshi Oiwa, Seiji Okimasa, Noriaki Kurimoto, Yuka Miyazu, Masaki Murayama, Teruomi Miyazawa, Michio Yamakido and Paola Allavena. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Modern Rheumatology, Journal of Biological Chemistry, Respirology and Analytical Chemistry.
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.