Tae Komata

476 total citations
10 papers, 402 citations indexed

About

Tae Komata is a scholar working on Rheumatology, Immunology and Genetics. According to data from OpenAlex, Tae Komata has authored 10 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Rheumatology, 5 papers in Immunology and 4 papers in Genetics. Recurrent topics in Tae Komata's work include T-cell and B-cell Immunology (5 papers), Systemic Lupus Erythematosus Research (4 papers) and Immune Cell Function and Interaction (3 papers). Tae Komata is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Systemic Lupus Erythematosus Research (4 papers) and Immune Cell Function and Interaction (3 papers). Tae Komata collaborates with scholars based in Japan, Nigeria and United States. Tae Komata's co-authors include Naoyuki Tsuchiya, Katsushi Tokunaga, M. Matsushita, K. Hagiwara, Jun Ohashi, Yoko Hatta, Seiji Yamamoto, Masaki Matsushita, Jun Ohashi and Betty P. Tsao and has published in prestigious journals such as Transfusion, Annals of Human Genetics and Genes and Immunity.

In The Last Decade

Tae Komata

9 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tae Komata Japan 7 224 155 117 72 40 10 402
Fathiya Al-Murshedi Oman 10 266 1.2× 154 1.0× 99 0.8× 221 3.1× 27 0.7× 20 534
Geneviève Enault France 8 222 1.0× 121 0.8× 29 0.2× 65 0.9× 52 1.3× 10 397
Kerstin Bäckman Sweden 9 170 0.8× 79 0.5× 94 0.8× 44 0.6× 37 0.9× 10 379
Sandra Cappellacci Italy 13 155 0.7× 54 0.3× 64 0.5× 60 0.8× 45 1.1× 24 338
Peter K. Gregersen United States 7 189 0.8× 162 1.0× 83 0.7× 87 1.2× 37 0.9× 8 442
Yoko Hatta Japan 6 310 1.4× 160 1.0× 109 0.9× 166 2.3× 30 0.8× 10 549
Keith K. Colburn United States 11 122 0.5× 125 0.8× 37 0.3× 83 1.2× 36 0.9× 28 338
Stefanie Schmidt Germany 8 319 1.4× 75 0.5× 47 0.4× 81 1.1× 65 1.6× 13 519
C Shimomura Japan 15 280 1.3× 41 0.3× 93 0.8× 131 1.8× 89 2.2× 25 533
Michelle Ratliff United States 11 305 1.4× 44 0.3× 33 0.3× 109 1.5× 48 1.2× 18 455

Countries citing papers authored by Tae Komata

Since Specialization
Citations

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

Fields of papers citing papers by Tae Komata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae Komata

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

All Works

10 of 10 papers shown
1.
Seki, Yoshinobu, Kenji Satô, Takehiro Abe, Tae Komata, & Ichiro Fuse. (2022). A RESEARCH ON THE EFFECTIVE USE OF BLOOD PRODUCTS IN NIIGATA PREFECTURE THROUGH WIDE-AREA BLOOD ROTATION USING THE ATR BLOOD TRANSPORT SYSTEM. Japanese Journal of Transfusion and Cell Therapy. 68(4). 496–501. 1 indexed citations
2.
Ushiki, Takashi, Hatsue Tsuneyama, Masayoshi Masuko, et al.. (2019). Rhnull phenotype caused by a novel RHAG mutation, c.945+1G>A, in the Japanese population. Transfusion. 59(8). 2519–2522.
3.
Tsuchiya, Naoyuki, et al.. (2001). Analysis of the association of HLA-DRB1, TNFα promoter and TNFR2 (TNFRSF1B) polymorphisms with SLE using transmission disequilibrium test. Genes and Immunity. 2(6). 317–322. 55 indexed citations
4.
Ohashi, Jun, Seiji Yamamoto, Naoyuki Tsuchiya, et al.. (2001). Comparison of statistical power between 2×2 allele frequency and allele positivity tables in case-control studies of complex disease genes. Annals of Human Genetics. 65(2). 197–206. 90 indexed citations
5.
Ohashi, Jun, et al.. (2001). Comparison of statistical power between 2×2 allele frequency and allele positivity tables in case‐control studies of complex disease genes. Annals of Human Genetics. 65(2). 197–206. 25 indexed citations
6.
Tsuchiya, Naoyuki, Tae Komata, M. Matsushita, Jun Ohashi, & Katsushi Tokunaga. (2000). New single nucleotide polymorphisms in the coding region of human TNFR2: association with systemic lupus erythematosus. Genes and Immunity. 1(8). 501–503. 22 indexed citations
7.
Shibue, Tsukasa, Naoyuki Tsuchiya, Tae Komata, et al.. (2000). Tumor necrosis factor α 5′-flanking region, tumor necrosis factor receptor II, and HLA–DRB1 polymorphisms in Japanese patients with rheumatoid arthritis. Arthritis & Rheumatism. 43(4). 753–753. 44 indexed citations
8.
Komata, Tae, Naoyuki Tsuchiya, M. Matsushita, K. Hagiwara, & Katsushi Tokunaga. (1999). Association of tumor necrosis factor receptor 2 (TNFR2) polymorphism with susceptibility to systemic lupus erythematosus. Tissue Antigens. 53(6). 527–533. 107 indexed citations
9.
10.

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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2026