Hidefumi Maeda
Impact in
Papers in
-
- dental development and anomalies 15
- Bone Metabolism and Diseases 11
- Genetics 25
- Mesenchymal stem cell research 24
- Co-authors
- Naohisa Wada (42 shared papers)Atsushi Tomokiyo (53 shared papers)Akifumi Akamine (26 shared papers)Shinsuke Fujii (23 shared papers)Sayuri Hamano (37 shared papers)Daigaku Hasegawa (36 shared papers)Satoshi Monnouchi (17 shared papers)Shinichiro Yoshida (28 shared papers)
- Journals
- Journal of Cellular Physiology (9 papers)Cell and Tissue Research (7 papers)Journal of Periodontal Research (6 papers)Stem Cells and Development (5 papers)Journal of Cellular Biochemistry (3 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Hidefumi Maeda
116 papers receiving 3.1k citations
Hidefumi Maeda's Hit Papers
Peers
Comparison fields: 5 of 129
- Urology 453
- Aging 124
- Oral Surgery 400
- Genetics 470
- Periodontics 176
Countries citing papers authored by Hidefumi Maeda
This map shows the geographic impact of Hidefumi 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 Hidefumi Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidefumi Maeda more than expected).
Fields of papers citing papers by Hidefumi Maeda
This network shows the impact of papers produced by Hidefumi 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 Hidefumi Maeda. The network helps show where Hidefumi Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Hidefumi 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 288 | |
| 2 | Periodontal Ligament Stem Cells: Regenerative Potency in Periodontium Hit paper breakdown → | 2019 | 216 |
| 3 | 2004 | 130 | |
| 4 | 2000 | 125 | |
| 5 | 2001 | 94 | |
| 6 | 2008 | 89 | |
| 7 | 2010 | 84 | |
| 8 | 2007 | 84 | |
| 9 | 2006 | 80 | |
| 10 | 1999 | 72 | |
| 11 | 2010 | 70 | |
| 12 | 2020 | 65 | |
| 13 | 2016 | 51 | |
| 14 | 2020 | 51 | |
| 15 | 2017 | 49 | |
| 16 | 2004 | 49 | |
| 17 | 2013 | 45 | |
| 18 | 1999 | 42 | |
| 19 | 2001 | 42 | |
| 20 | 2017 | 41 |
About Hidefumi Maeda
Hidefumi Maeda is a scholar working on Molecular Biology, Genetics, Urology, Oral Surgery and Rheumatology, having authored 119 papers that have together received 3.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (24 papers), Periodontal Regeneration and Treatments (24 papers), Endodontics and Root Canal Treatments (16 papers), dental development and anomalies (15 papers), Bone Metabolism and Diseases (11 papers), Bone and Dental Protein Studies (11 papers), Tissue Engineering and Regenerative Medicine (10 papers) and Dental Trauma and Treatments (8 papers). The work is most often cited by research in Urology (453 citations), Aging (124 citations), Oral Surgery (400 citations), Genetics (470 citations) and Periodontics (176 citations). Hidefumi Maeda has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Naohisa Wada, Atsushi Tomokiyo, Akifumi Akamine, Shinsuke Fujii, Sayuri Hamano, Daigaku Hasegawa, Satoshi Monnouchi, Shinichiro Yoshida, Hideki Sugii and I. Murata. Their work appears in journals such as Journal of Cellular Physiology, Cell and Tissue Research, Journal of Periodontal Research, Stem Cells and Development and Journal of Cellular Biochemistry.
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.