Kunimi Maeda

590 total citations
35 papers, 359 citations indexed

About

Kunimi Maeda is a scholar working on Hematology, Genetics and Nephrology. According to data from OpenAlex, Kunimi Maeda has authored 35 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hematology, 12 papers in Genetics and 11 papers in Nephrology. Recurrent topics in Kunimi Maeda's work include Hemoglobinopathies and Related Disorders (12 papers), Erythropoietin and Anemia Treatment (11 papers) and Iron Metabolism and Disorders (9 papers). Kunimi Maeda is often cited by papers focused on Hemoglobinopathies and Related Disorders (12 papers), Erythropoietin and Anemia Treatment (11 papers) and Iron Metabolism and Disorders (9 papers). Kunimi Maeda collaborates with scholars based in Japan, United States and Indonesia. Kunimi Maeda's co-authors include Ken Tsuchiya, Chie Ogawa, Yasuhiko Tomino, Satoshi Horikoshi, Chieko Hamada, Mitsumine Fukui, Naohisa Tomosugi, Ichiyu Shou, Shinji Hagiwara and Kazuhiko Funabïki and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Kunimi Maeda

34 papers receiving 347 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kunimi Maeda Japan 11 131 94 61 59 52 35 359
Patrizia Bernich Italy 10 204 1.6× 159 1.7× 116 1.9× 30 0.5× 40 0.8× 24 510
Emanuela Cecchin Italy 10 90 0.7× 38 0.4× 22 0.4× 22 0.4× 51 1.0× 19 447
Kiyomi Kisu Japan 9 121 0.9× 55 0.6× 21 0.3× 13 0.2× 28 0.5× 17 350
Olivera Marsenić United States 10 131 1.0× 48 0.5× 47 0.8× 10 0.2× 38 0.7× 32 396
Shermine Dabbagh United States 10 72 0.5× 66 0.7× 68 1.1× 24 0.4× 98 1.9× 32 423
Fatemeh Hayati Iran 10 172 1.3× 14 0.1× 59 1.0× 24 0.4× 43 0.8× 26 385
Luis Revert Spain 9 132 1.0× 65 0.7× 27 0.4× 12 0.2× 58 1.1× 14 361
J. Chahin Spain 9 311 2.4× 31 0.3× 18 0.3× 69 1.2× 16 0.3× 14 445
Margaret R. Janu Australia 10 110 0.8× 34 0.4× 17 0.3× 11 0.2× 52 1.0× 13 341
R. W. Nicora United States 8 99 0.8× 118 1.3× 16 0.3× 152 2.6× 43 0.8× 9 415

Countries citing papers authored by Kunimi Maeda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kunimi Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Kunimi Maeda. A scholar is included among the top collaborators of Kunimi 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 Kunimi Maeda. Kunimi Maeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ogawa, Chie, Ken Tsuchiya, Naohisa Tomosugi, & Kunimi Maeda. (2024). High Ferritin Is Not Needed in Hemodialysis Patients: A Retrospective Study of Total Body Iron and Oral Iron Replacement Therapy. International Journal of Molecular Sciences. 25(3). 1508–1508.
2.
Ogawa, Chie, Ken Tsuchiya, & Kunimi Maeda. (2023). Hypoxia-Inducible Factor Prolyl Hydroxylase Inhibitors and Iron Metabolism. International Journal of Molecular Sciences. 24(3). 3037–3037. 23 indexed citations
3.
Ogawa, Chie, Ken Tsuchiya, Naohisa Tomosugi, & Kunimi Maeda. (2022). Threshold of Serum Ferritin to Discriminate against Those at Greater Risk of Platelet Increase during Treatment with Hypoxia-Inducible Factor Prolyl Hydroxylase Domain Inhibitor. Acta Haematologica. 145(4). 412–418. 4 indexed citations
4.
Ogawa, Chie, Ken Tsuchiya, Naohisa Tomosugi, & Kunimi Maeda. (2021). Hypoxia-inducible factor prolyl hydroxylase domain inhibitor may maintain hemoglobin synthesis at lower serum ferritin and transferrin saturation levels than darbepoetin alfa. PLoS ONE. 16(6). e0252439–e0252439. 1 indexed citations
5.
Ogawa, Chie, Ken Tsuchiya, & Kunimi Maeda. (2020). Reticulocyte hemoglobin content. Clinica Chimica Acta. 504. 138–145. 32 indexed citations
6.
Ogawa, Chie, Ken Tsuchiya, & Kunimi Maeda. (2020). High serum magnesium levels are associated with favorable prognoses in diabetic hemodialysis patients, retrospective observational study. PLoS ONE. 15(9). e0238763–e0238763. 3 indexed citations
7.
Ogawa, Chie, Ken Tsuchiya, Kosaku Nitta, & Kunimi Maeda. (2019). Significance of Content of the Reticulocyte Hemoglobin in the Management of Renal Anemia. Blood Purification. 47(Suppl. 2). 70–73. 2 indexed citations
8.
Ogawa, Chie, Ken Tsuchiya, Kunimi Maeda, & Kosaku Nitta. (2018). Renal Anemia and Iron Metabolism. Contributions to nephrology. 195. 62–73. 6 indexed citations
9.
10.
Maeda, Kunimi, Chieko Hamada, Takeshi Hayashi, et al.. (2011). Efficacy of adsorbent in delaying dialysis initiation among chronic kidney disease patients. Dialysis & Transplantation. 40(5). 212–216. 7 indexed citations
11.
Maeda, Kunimi, Chieko Hamada, Takaaki Hayashi, et al.. (2009). Long-Term Effects of the Oral Adsorbent, AST-120, in Patients with Chronic Renal Failure. Journal of International Medical Research. 37(1). 205–213. 22 indexed citations
12.
Fukui, Mitsumine, et al.. (2006). Usefulness of a Body Composition Analyzer, InBody 2.0, in Chronic Hemodialysis Patients. The Kaohsiung Journal of Medical Sciences. 22(5). 207–210. 19 indexed citations
13.
Tanimoto, Mitsuo, Kaori Yamada, Shigeru Kaneko, et al.. (2006). Glomerular changes in the KK‐Ay/Ta mouse: A possible model for human type 2 diabetic nephropathy. Nephrology. 11(1). 29–35. 52 indexed citations
14.
Hagiwara, Shinji, Hiroyuki Ohi, Yoshinobu Eishi, et al.. (2005). A case of renal sarcoidosis with complement activation via the lectin pathway. American Journal of Kidney Diseases. 45(3). 580–587. 12 indexed citations
15.
Funabïki, Kazuhiko, et al.. (2005). Using protein/creatinine ratios in random urine. Journal of Clinical Laboratory Analysis. 19(4). 160–166. 8 indexed citations
16.
Yamada, Toshiyuki, Kenji Yamaji, Kunimi Maeda, et al.. (2004). A case of primary immunoglobulin light chain amyloidosis with a delayed appearance of Bence Jones protein in urine. Nephrology. 9(3). 122–125. 3 indexed citations
17.
Shimizu, Ayumi, Chieko Hamada, Kunimi Maeda, et al.. (2004). β‐trace protein, a new marker of GFR, may predict the early prognostic stages of patients with type 2 diabetic nephropathy. Journal of Clinical Laboratory Analysis. 18(4). 237–239. 25 indexed citations
18.
Shinzato, Takahiro, Ichiro Takai, Yutaka Nakamura, et al.. (1998). Effects of L-carnitine supplementation on muscular symptoms in hemodialyzed patients. American Journal of Kidney Diseases. 32(2). 258–264. 52 indexed citations
19.
Shimizu, Kyoko, et al.. (1990). Osseous changes and abnormalities of mineral metabolism in daunomycin rats.. PubMed. 32(8). 863–9. 1 indexed citations
20.
Hara, Hirokazu, et al.. (1989). [Assay of erythropoietin in plasma by enzyme-linked immunosorbent assay].. PubMed. 37(10). 1143–7. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Patrizia Bernich Breakdown of academic impact, for papers by Emanuela Cecchin Breakdown of academic impact, for papers by Kiyomi Kisu Breakdown of academic impact, for papers by Olivera Marsenić Breakdown of academic impact, for papers by Shermine Dabbagh Breakdown of academic impact, for papers by Fatemeh Hayati Breakdown of academic impact, for papers by Luis Revert Breakdown of academic impact, for papers by J. Chahin Breakdown of academic impact, for papers by Margaret R. Janu Breakdown of academic impact, for papers by R. W. Nicora
Rankless by CCL
2026