Kunimi Maeda
Impact in
- Nephrology top 5%
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
- Hematology top 10%
- Erythropoietin and Anemia Treatment
- Iron Metabolism and Disorders
Papers in
- Hematology 12
- Erythropoietin and Anemia Treatment 10
- Iron Metabolism and Disorders 8
- Genetics 11
- Hemoglobinopathies and Related Disorders 11
- 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)Journal of Clinical Laboratory Analysis (2 papers)American Journal of Kidney Diseases (2 papers)
- Partner nations
- JapanUnited StatesIndonesia
In The Last Decade
Kunimi Maeda
34 papers receiving 368 citations
Peers
Comparison fields: 5 of 77
- Nephrology 123
- Hematology 91
- Clinical Biochemistry 53
- Genetics 48
- Endocrinology, Diabetes and Metabolism 39
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 | 55 | |
| 2 | 1998 | 52 | |
| 3 | 2020 | 33 | |
| 4 | 2023 | 26 | |
| 5 | 2004 | 26 | |
| 6 | 2009 | 24 | |
| 7 | 2020 | 20 | |
| 8 | 2006 | 19 | |
| 9 | 2017 | 16 | |
| 10 | 2005 | 13 | |
| 11 | 1997 | 12 | |
| 12 | 2005 | 8 | |
| 13 | 2011 | 7 | |
| 14 | 2005 | 6 | |
| 15 | 1995 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2016 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2010 | 4 |
About Kunimi Maeda
Kunimi Maeda is a scholar working on Hematology, Genetics, Nephrology, Physiology and Surgery, having authored 35 papers that have together received 379 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (11 papers), Erythropoietin and Anemia Treatment (10 papers), Iron Metabolism and Disorders (8 papers), Dialysis and Renal Disease Management (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Metabolism and Genetic Disorders (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Nephrology (123 citations), Hematology (91 citations), Clinical Biochemistry (53 citations), Genetics (48 citations) and Endocrinology, Diabetes and Metabolism (39 citations). Kunimi Maeda has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Chie Ogawa, Ken Tsuchiya, Yasuhiko Tomino, Satoshi Horikoshi, Chieko Hamada, Naohisa Tomosugi, Mitsumine Fukui, Ichiyu Shou, Kazuhiko Funabïki and Shinji Hagiwara. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Seminars in Dialysis, Journal of Clinical Laboratory Analysis and American Journal of Kidney Diseases.
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.