Maki Kumada

524 total citations
18 papers, 407 citations indexed

About

Maki Kumada is a scholar working on Molecular Biology, Hematology and Epidemiology. According to data from OpenAlex, Maki Kumada has authored 18 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Hematology and 4 papers in Epidemiology. Recurrent topics in Maki Kumada's work include Blood groups and transfusion (5 papers), Erythrocyte Function and Pathophysiology (3 papers) and Parvovirus B19 Infection Studies (2 papers). Maki Kumada is often cited by papers focused on Blood groups and transfusion (5 papers), Erythrocyte Function and Pathophysiology (3 papers) and Parvovirus B19 Infection Studies (2 papers). Maki Kumada collaborates with scholars based in Japan and Mongolia. Maki Kumada's co-authors include Toshinori Omi, Takaya Gotoh, Yoshiko Yanagisawa, Nanami Utsumi, Sadahiko Iwamoto, Eiji Kajii, Kazuhiro Nakayama, Lkhagvasuren Munkhtulga, Toyomi Kamesaki and Sadahiko Iwamoto and has published in prestigious journals such as Journal of Biological Chemistry, Journal of the American College of Cardiology and Biochemical and Biophysical Research Communications.

In The Last Decade

Maki Kumada

16 papers receiving 396 citations

Peers

Maki Kumada

PHYSI

HEMAT

EPIDE

GENET

Mari-Pau Mena Spain

Iolanda Santimone Italy

Hadi Mozafari Iran

Jonia Alshiek United States

Carla Luana Dinardo Brazil

Elisabeth Hertle Netherlands

Alba Carrea Italy

Yoko Mitsuda Japan

Keiko Aikawa Japan

Damian Malinowski Poland

Mari-Pau Mena Spain

Maki Kumada

98 ×0.5

80 ×0.7

PHYSI

54 ×0.6

HEMAT

37 ×0.5

EPIDE

16 ×0.2

GENET

Citations per year, relative to Maki Kumada Maki Kumada (= 1×) peers Mari-Pau Mena

Countries citing papers authored by Maki Kumada

Since Specialization

Citations

This map shows the geographic impact of Maki Kumada'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 Maki Kumada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maki Kumada more than expected).

Fields of papers citing papers by Maki Kumada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maki Kumada. 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 Maki Kumada. The network helps show where Maki Kumada may publish in the future.

Co-authorship network of co-authors of Maki Kumada

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

All Works

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18 of 18 papers shown

Okayama, Masanobu, et al.. (2017). EFFECT OF GENE POLYMORPHISM OF CALPAIN-10 ON THE RISK OF HYPERTENSION IN JAPANESE POPULATION. Journal of the American College of Cardiology. 69(11). 1842–1842. 1 indexed citations

Okayama, Masanobu, et al.. (2014). INTERACTION BETWEEN ALCOHOL HABIT AND GENE POLYMORPHISM OF NEUROPEPTIDE Y ON THE RISK OF ESSENTIAL HYPERTENSION. Journal of the American College of Cardiology. 63(12). A1448–A1448. 1 indexed citations

Takeshima, Taro, Maki Kumada, Yoshinori Ishikawa, et al.. (2014). Reasons for encounter and diagnoses of new outpatients at a small community hospital in Japan: an observational study. International Journal of General Medicine. 25(2). 259–259. 21 indexed citations

Kenzaka, Tsuneaki, Shinji Fujiwara, Taro Takeshima, et al.. (2014). Title: "Analysis of regional differences in the expression frequency of salt-sensitive genes in Japan".

Uchida, Shinichi, et al.. (2012). A retrospective study of 221 hospitalized patients with fever in the Department of General Practice at Jichi Medical University Hospital. An Official Journal of the Japan Primary Care Association. 35(4). 279–285. 1 indexed citations

Nakayama, Kazuhiro, Maki Kumada, Takaya Gotoh, et al.. (2009). Large scale replication analysis of loci associated with lipid concentrations in a Japanese population. Journal of Medical Genetics. 46(6). 370–374. 71 indexed citations

Munkhtulga, Lkhagvasuren, Shuichi Nagashima, Kazuhiro Nakayama, et al.. (2009). Regulatory SNP in the RBP4 Gene Modified the Expression in Adipocytes and Associated With BMI. Obesity. 18(5). 1006–1014. 45 indexed citations

Kumada, Maki, Lkhagvasuren Munkhtulga, Nanami Utsumi, et al.. (2008). Genetic Heterogeneity in a Susceptible Region for Essential Hypertension among Demographically Different Local Populations in Japan. Public Health Genomics. 11(3). 150–159. 1 indexed citations

Nakayama, Kazuhiro, Lkhagvasuren Munkhtulga, Yoshiko Yanagisawa, et al.. (2008). Comparative study of polymorphisms on genes associated with lifestyle related diseases in Asian and Pacific populations.. PubMed. 20 Suppl. 173–9. 6 indexed citations

10.

Omi, Toshinori, Maki Kumada, Toyomi Kamesaki, et al.. (2006). An intronic variable number of tandem repeat polymorphisms of the cold-induced autoinflammatory syndrome 1 (CIAS1) gene modifies gene expression and is associated with essential hypertension. European Journal of Human Genetics. 14(12). 1295–1305. 69 indexed citations

11.

Munkhtulga, Lkhagvasuren, Kazuhiro Nakayama, Nanami Utsumi, et al.. (2006). Identification of a regulatory SNP in the retinol binding protein 4 gene associated with type 2 diabetes in Mongolia. Human Genetics. 120(6). 879–888. 93 indexed citations

12.

Kumada, Maki, Toshinori Omi, Takaya Gotoh, et al.. (2005). Aly/ REF, a factor for mRNA transport, activates RH gene promoter function. FEBS Journal. 272(11). 2696–2704. 8 indexed citations

13.

Iwamoto, Sadahiko, Toyomi Kamesaki, Maki Kumada, et al.. (2003). DNA-based identification resolved suspected misdiagnosis due to contaminated cytological specimens. Legal Medicine. 5(4). 246–250.

14.

Iwamoto, Sadahiko, Maki Kumada, Toyomi Kamesaki, et al.. (2002). Rat Encodes the Paralogous Gene Equivalent of the Human Histo-blood Group ABO Gene. Journal of Biological Chemistry. 277(48). 46463–46469. 20 indexed citations

15.

Kumada, Maki, Sadahiko Iwamoto, Toyomi Kamesaki, Hiroshi Okuda, & Eiji Kajii. (2002). Entire sequence of a mouse chromosomal segment containing the gene Rhced and a comparative analysis of the homologous human sequence. Gene. 299(1-2). 165–172. 8 indexed citations

16.

Iwamoto, Sadahiko, Toyomi Kamesaki, Hiroshi Okuda, et al.. (2001). Reactivity of autoantibodies of autoimmune hemolytic anemia with recombinant rhesus blood group antigens or anion transporter band3. American Journal of Hematology. 68(2). 106–114. 16 indexed citations

17.

Kamesaki, Toyomi, Sadahiko Iwamoto, Maki Kumada, et al.. (2001). Molecular characterization of weak D phenotypes by site‐directed mutagenesis and expression of mutant Rh–green fluorescence protein fusions in K562 cells. Vox Sanguinis. 81(4). 254–258. 8 indexed citations

18.

Kamesaki, Toyomi, et al.. (2000). The Analysis of Nucleotide Substitutions, Gaps, and Recombination Events between RHD and RHCE Genes through Complete Sequencing. Biochemical and Biophysical Research Communications. 274(3). 670–683. 38 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.

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