Masaaki Ikoma
- Nephrology top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Pulmonary and Respiratory Medicine
- Endocrinology, Diabetes and Metabolism
- Molecular Biology
- Co-authors
- Iekuni IchikawaAgnes FogoYoshiyuki YoshidaYoshihiko KakinumaAgnes B. FogoToshimasa YoshiokaMasaru MotojimaFuyuhiko Nishijima
- Topics
- Renal Diseases and Glomerulopathies (7 papers)Electrolyte and hormonal disorders (2 papers)Complement system in diseases (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Masaaki Ikoma
12 papers receiving 507 citations
Peers
Comparison fields: 5 of 65
- Nephrology 305
- Cardiology and Cardiovascular Medicine 179
- Pulmonary and Respiratory Medicine 85
- Endocrinology, Diabetes and Metabolism 84
- Molecular Biology 75
Countries citing papers authored by Masaaki Ikoma
This map shows the geographic impact of Masaaki Ikoma'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 Masaaki Ikoma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaaki Ikoma more than expected).
Fields of papers citing papers by Masaaki Ikoma
This network shows the impact of papers produced by Masaaki Ikoma. 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 Masaaki Ikoma. The network helps show where Masaaki Ikoma may publish in the future.
Co-authorship network of co-authors of Masaaki Ikoma
This figure shows the co-authorship network connecting the top 25 collaborators of Masaaki Ikoma. A scholar is included among the top collaborators of Masaaki Ikoma 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 Masaaki Ikoma. Masaaki Ikoma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | [Investigation of CD68 positive monocytes/macrophage(CD68+ Mo/M phi) in urine and infiltrated tissue of various kidney diseases in children]. | 1 |
| 3 | 4 | |
| 4 | 6 | |
| 5 | [Changes in coagulation and fibrinolytic factors observed during heparin-urokinase-pulse combined therapy for nephritis resistant to conventional treatment in children]. | 1 |
| 6 | 85 | |
| 7 | 125 | |
| 8 | Sex differences in the distribution of subcutaneous and internal fat. | 36 |
| 9 | Glomerular growth promoters, the common key mediator for progressive glomerular sclerosis in chronic renal diseases. | 14 |
| 10 | 22 | |
| 11 | 23 | |
| 12 | 199 | |
| 13 | 1 |
About Masaaki Ikoma
Masaaki Ikoma is a scholar working on Nephrology, Urology and Internal Medicine, having authored 13 papers that have together received 517 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (7 papers), Electrolyte and hormonal disorders (2 papers) and Complement system in diseases (2 papers). The work is most often cited by research in Nephrology (305 citations), Cardiology and Cardiovascular Medicine (179 citations) and Endocrinology, Diabetes and Metabolism (84 citations). Masaaki Ikoma has collaborated with scholars based in Japan and United States. Frequent co-authors include Iekuni Ichikawa, Agnes Fogo, Yoshiyuki Yoshida, Yoshihiko Kakinuma, Agnes B. Fogo, Toshimasa Yoshioka, Masaru Motojima, Fuyuhiko Nishijima, Tadasu Sakai and Komei Hattori. Their work appears in journals such as Kidney International, Journal of Clinical Pathology and Pediatric Research.
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.