Renju Maeda
- Endocrinology, Diabetes and Metabolism top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pathology and Forensic Medicine
- Molecular Biology
- Surgery
- Co-authors
- Misa ImaizumiMasazumi AkahoshiAyumi HidaEiji NakashimaMidori SodaShigenobu NagatakiKiyoto AshizawaToshiro Usa
- Topics
- Thyroid Disorders and Treatments (4 papers)Radiation Dose and Imaging (4 papers)Effects of Radiation Exposure (4 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismEndocrine and Autonomic SystemsRadiology, Nuclear Medicine and Imaging
- Journals
- JAMAThe Journal of Clinical Endocrinology & MetabolismBiochimica et Biophysica Acta (BBA) - General Subjects
- Partner nations
- JapanChinaUnited States
In The Last Decade
Renju Maeda
14 papers receiving 617 citations
Peers
Comparison fields: 5 of 84
- Endocrinology, Diabetes and Metabolism 476
- Radiology, Nuclear Medicine and Imaging 131
- Pathology and Forensic Medicine 84
- Molecular Biology 68
- Surgery 59
Countries citing papers authored by Renju Maeda
This map shows the geographic impact of Renju 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 Renju Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renju Maeda more than expected).
Fields of papers citing papers by Renju Maeda
This network shows the impact of papers produced by Renju 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 Renju Maeda. The network helps show where Renju Maeda may publish in the future.
Co-authorship network of co-authors of Renju Maeda
This figure shows the co-authorship network connecting the top 25 collaborators of Renju Maeda. A scholar is included among the top collaborators of Renju Maeda 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 Renju Maeda. Renju Maeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 4 | |
| 3 | 29 | |
| 4 | 0 | |
| 5 | 17 | |
| 6 | 41 | |
| 7 | 144 | |
| 8 | 14 | |
| 9 | 286 | |
| 10 | 33 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 20 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 21 |
About Renju Maeda
Renju Maeda is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 657 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (4 papers), Radiation Dose and Imaging (4 papers) and Effects of Radiation Exposure (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (476 citations), Endocrine and Autonomic Systems (41 citations) and Radiology, Nuclear Medicine and Imaging (131 citations). Renju Maeda has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Misa Imaizumi, Masazumi Akahoshi, Ayumi Hida, Eiji Nakashima, Midori Soda, Shigenobu Nagataki, Kiyoto Ashizawa, Toshiro Usa, Katsumi Eguchi and Shinichiro Ichimaru. Their work appears in journals such as JAMA, The Journal of Clinical Endocrinology & Metabolism and Biochimica et Biophysica Acta (BBA) - General Subjects.
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.