Kenji Fujieda
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Genetics top 1%
- Surgery top 5%
- Pediatrics, Perinatology and Child Health top 2%
- Co-authors
- Toshihiro TajimaJun NakaeWalter L. MillerNobuo MatsuuraK OkuharaKatsuhiko TachibanaYoshiya ItoNozomi Shinohara
- Topics
- Sexual Differentiation and Disorders (53 papers)Growth Hormone and Insulin-like Growth Factors (40 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (28 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Kenji Fujieda
176 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 158
- Molecular Biology 1.9k
- Endocrinology, Diabetes and Metabolism 1.7k
- Genetics 1.2k
- Surgery 644
- Pediatrics, Perinatology and Child Health 507
Countries citing papers authored by Kenji Fujieda
This map shows the geographic impact of Kenji Fujieda'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 Kenji Fujieda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Fujieda more than expected).
Fields of papers citing papers by Kenji Fujieda
This network shows the impact of papers produced by Kenji Fujieda. 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 Kenji Fujieda. The network helps show where Kenji Fujieda may publish in the future.
Co-authorship network of co-authors of Kenji Fujieda
This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Fujieda. A scholar is included among the top collaborators of Kenji Fujieda 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 Kenji Fujieda. Kenji Fujieda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 8 | |
| 3 | 10 | |
| 4 | The Role of N-Terminal Pro-B-Type Natriuretic Peptide in the Diagnosis of Congestive Heart Failure in Children: Correlation With the Heart Failure Score and Comparison With B-Type Natriuretic Peptide (小児のうっ血性心不全診断におけるN-末端Pro-B型Na利尿ペプチドの役割 心不全評点との相関及びB型Na利尿ペプチドとの比較) | 5 |
| 5 | 16 | |
| 6 | 67 | |
| 7 | 16 | |
| 8 | 8 | |
| 9 | 14 | |
| 10 | 98 | |
| 11 | 6 | |
| 12 | 小児慢性特定疾患治療研究事業において採用された身長基準に準拠した2000年度版「標準身長表」および「標準成長曲線」 | 0 |
| 13 | 25 | |
| 14 | 15 | |
| 15 | 93 | |
| 16 | 79 | |
| 17 | 19 | |
| 18 | 2 | |
| 19 | 70 | |
| 20 | 3 |
About Kenji Fujieda
Kenji Fujieda is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Genetics, having authored 179 papers that have together received 4.3k indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (53 papers), Growth Hormone and Insulin-like Growth Factors (40 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (28 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Genetics (1.2k citations) and Reproductive Medicine (284 citations). Kenji Fujieda has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Toshihiro Tajima, Jun Nakae, Walter L. Miller, Nobuo Matsuura, K Okuhara, Katsuhiko Tachibana, Yoshiya Ito, Nozomi Shinohara, Luciano Molinari and Sonja Y. Hess. Their work appears in journals such as The Lancet, Nucleic Acids Research and Journal of Biological 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.