Kunimi Maeda
Impact in
- Nephrology top 5%
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
- Hematology 13
- Erythropoietin and Anemia Treatment 11
- Iron Metabolism and Disorders 9
- Genetics 12
- Hemoglobinopathies and Related Disorders 12
- Co-authors
- Chie Ogawa (12 shared papers)Ken Tsuchiya (12 shared papers)Yasuhiko Tomino (16 shared papers)Satoshi Horikoshi (9 shared papers)Chieko Hamada (9 shared papers)Naohisa Tomosugi (5 shared papers)Mitsumine Fukui (7 shared papers)Ichiyu Shou (5 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)PLoS ONE (3 papers)Seminars in Dialysis (2 papers)Nephrology (2 papers)Journal of Clinical Laboratory Analysis (2 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Kunimi Maeda
34 papers receiving 347 citations
Peers
Comparison fields: 5 of 82
- Nephrology 131
- Clinical Biochemistry 59
- Hematology 94
- Genetics 61
- Endocrinology, Diabetes and Metabolism 50
Countries citing papers authored by Kunimi Maeda
This map shows the geographic impact of Kunimi 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 Kunimi Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunimi Maeda more than expected).
Fields of papers citing papers by Kunimi Maeda
This network shows the impact of papers produced by Kunimi 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 Kunimi Maeda. The network helps show where Kunimi Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunimi 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 52 | |
| 2 | 1998 | 52 | |
| 3 | 2020 | 32 | |
| 4 | 2004 | 25 | |
| 5 | 2023 | 23 | |
| 6 | 2009 | 22 | |
| 7 | 2006 | 19 | |
| 8 | 2020 | 19 | |
| 9 | 2017 | 16 | |
| 10 | 2005 | 12 | |
| 11 | 1997 | 11 | |
| 12 | 2005 | 8 | |
| 13 | 2011 | 7 | |
| 14 | 2018 | 6 | |
| 15 | 2016 | 5 | |
| 16 | 1995 | 5 | |
| 17 | 2005 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2010 | 4 |
About Kunimi Maeda
Kunimi Maeda is a scholar working on Hematology, Genetics, Nephrology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 359 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (12 papers), Erythropoietin and Anemia Treatment (11 papers), Iron Metabolism and Disorders (9 papers), Dialysis and Renal Disease Management (6 papers), Chronic Kidney Disease and Diabetes (5 papers), Pharmacological Effects and Toxicity Studies (3 papers), Parathyroid Disorders and Treatments (3 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Nephrology (131 citations), Clinical Biochemistry (59 citations), Hematology (94 citations), Genetics (61 citations) and Endocrinology, Diabetes and Metabolism (50 citations). Kunimi Maeda has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Chie Ogawa, Ken Tsuchiya, Yasuhiko Tomino, Satoshi Horikoshi, Chieko Hamada, Naohisa Tomosugi, Mitsumine Fukui, Ichiyu Shou, Shinji Hagiwara and Kazuhiko Funabïki. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Seminars in Dialysis, Nephrology and Journal of Clinical Laboratory Analysis.
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.