Maiko Hajime

43 total papers · 502 total citations
20 papers, 375 citations indexed

About

Maiko Hajime is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology and Genetics. According to data from OpenAlex, Maiko Hajime has authored 20 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Immunology and 5 papers in Genetics. Recurrent topics in Maiko Hajime's work include T-cell and B-cell Immunology (6 papers), Diabetes Treatment and Management (5 papers) and Diabetes Management and Research (5 papers). Maiko Hajime is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Diabetes Treatment and Management (5 papers) and Diabetes Management and Research (5 papers). Maiko Hajime collaborates with scholars based in Japan, China and Kazakhstan. Maiko Hajime's co-authors include Yoshiya Tanaka, Yosuke Okada, S. Iwata, Kenichi Tanaka, Keiichi Torimoto, Shingo Nakayamada, Hiroko Mori, Mingzeng Zhang, Manabu Narisawa and Kei Sakata and has published in prestigious journals such as The Journal of Immunology, Radiology and Annals of the Rheumatic Diseases.

In The Last Decade

Maiko Hajime

20 papers receiving 370 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Maiko Hajime	143	98	86	77	70	20	375
Bernadett Faragó	141 1.0×	57 0.6×	68 0.8×	61 0.8×	73 1.0×	16	332
Xiangyu Teng	210 1.5×	103 1.1×	121 1.4×	35 0.5×	140 2.0×	18	438
Katalin Horvatovich	98 0.7×	121 1.2×	72 0.8×	96 1.2×	48 0.7×	15	365
B Ernst	118 0.8×	50 0.5×	80 0.9×	60 0.8×	36 0.5×	21	386
Ingrid Yao Mattisson	131 0.9×	40 0.4×	126 1.5×	41 0.5×	57 0.8×	18	360
Steve Schoenfeld	168 1.2×	73 0.7×	64 0.7×	53 0.7×	51 0.7×	15	357
Hongxiang Xie	156 1.1×	46 0.5×	101 1.2×	27 0.4×	152 2.2×	21	422
F-J Tsai	72 0.5×	72 0.7×	141 1.6×	48 0.6×	85 1.2×	21	437
P Lohse	80 0.6×	53 0.5×	218 2.5×	132 1.7×	29 0.4×	25	419
Satish Kumar Devarapu	164 1.1×	40 0.4×	120 1.4×	41 0.5×	65 0.9×	17	383

Countries citing papers authored by Maiko Hajime

Since Specialization

Citations

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

Fields of papers citing papers by Maiko Hajime

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maiko Hajime

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

All Works

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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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