Seiko Makino

5.1k total citations · 1 hit paper
17 papers, 1.3k citations indexed

About

Seiko Makino is a scholar working on Immunology, Genetics and Molecular Biology. According to data from OpenAlex, Seiko Makino has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Seiko Makino's work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Seiko Makino is often cited by papers focused on Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Seiko Makino collaborates with scholars based in United Kingdom, United States and Japan. Seiko Makino's co-authors include Julian C. Knight, Benjamin P. Fairfax, Katharine Plant, Vivek Naranbhai, Daniel Wong, Peter Humburg, Evelyn Lau, Robert Andrews, Luke Jostins and Jayachandran Radhakrishnan and has published in prestigious journals such as Science, Nature Communications and Nature Genetics.

In The Last Decade

Seiko Makino

17 papers receiving 1.3k citations

Hit Papers

Innate Immune Activity Conditions the Effect of Regulator... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seiko Makino United Kingdom 13 624 450 373 192 143 17 1.3k
Daniela Giachino Italy 19 740 1.2× 203 0.5× 343 0.9× 135 0.7× 121 0.8× 51 1.6k
Fuencisla Matesanz Spain 21 344 0.6× 579 1.3× 200 0.5× 57 0.3× 93 0.7× 56 1.2k
Colin D. MacCalman Canada 29 647 1.0× 608 1.4× 241 0.6× 59 0.3× 162 1.1× 50 1.8k
Aimee Landry United States 10 609 1.0× 346 0.8× 322 0.9× 56 0.3× 170 1.2× 11 1.3k
Kristi A. Koelsch United States 14 271 0.4× 558 1.2× 201 0.5× 66 0.3× 104 0.7× 26 1.1k
Andrea Gerth United States 17 409 0.7× 935 2.1× 76 0.2× 217 1.1× 141 1.0× 22 1.5k
Changdan Liu United States 8 677 1.1× 435 1.0× 71 0.2× 80 0.4× 98 0.7× 9 1.2k
Kazuyoshi Ishigaki Japan 22 467 0.7× 448 1.0× 431 1.2× 28 0.1× 113 0.8× 49 1.3k
Marı́a Fedetz Spain 18 272 0.4× 397 0.9× 134 0.4× 46 0.2× 65 0.5× 33 887
Jörg Lauber Germany 15 573 0.9× 707 1.6× 201 0.5× 56 0.3× 86 0.6× 18 1.5k

Countries citing papers authored by Seiko Makino

Since Specialization
Citations

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

Fields of papers citing papers by Seiko Makino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiko Makino

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

All Works

17 of 17 papers shown
1.
Bowen, Jessica, Mónica Hernández Alava, Diana Johnson, et al.. (2023). Diagnosis and management of vascular Ehlers-Danlos syndrome: Experience of the UK national diagnostic service, Sheffield. European Journal of Human Genetics. 31(7). 749–760. 21 indexed citations
2.
Gilchrist, James J., Seiko Makino, Vivek Naranbhai, et al.. (2022). Natural Killer cells demonstrate distinct eQTL and transcriptome-wide disease associations, highlighting their role in autoimmunity. Nature Communications. 13(1). 4073–4073. 14 indexed citations
3.
Al‐Mossawi, Hussein, Nicole Yager, Chelsea Taylor, et al.. (2019). Context-specific regulation of surface and soluble IL7R expression by an autoimmune risk allele. Nature Communications. 10(1). 4575–4575. 30 indexed citations
4.
Kasela, Silva, Kai Kisand, Liina Tserel, et al.. (2017). Pathogenic implications for autoimmune mechanisms derived by comparative eQTL analysis of CD4+ versus CD8+ T cells. PLoS Genetics. 13(3). e1006643–e1006643. 62 indexed citations
5.
Findlay, John M., Francesc Castro-Giner, Seiko Makino, et al.. (2016). Differential clonal evolution in oesophageal cancers in response to neo-adjuvant chemotherapy. Nature Communications. 7(1). 11111–11111. 65 indexed citations
6.
Naranbhai, Vivek, Benjamin P. Fairfax, Seiko Makino, et al.. (2015). Genomic modulators of gene expression in human neutrophils. Nature Communications. 6(1). 7545–7545. 82 indexed citations
7.
Wong, Daniel, Wanseon Lee, Peter Humburg, et al.. (2014). Genomic mapping of the MHC transactivator CIITA using an integrated ChIP-seq and genetical genomics approach. Genome biology. 15(10). 494–494. 28 indexed citations
8.
Fairfax, Benjamin P., Peter Humburg, Seiko Makino, et al.. (2014). Innate Immune Activity Conditions the Effect of Regulatory Variants upon Monocyte Gene Expression. Science. 343(6175). 1246949–1246949. 475 indexed citations breakdown →
9.
Wong, Daniel, Wanseon Lee, Peter Humburg, et al.. (2014). Genomic mapping of the MHC transactivator CIITA using an integrated ChIP-seq and genetical genomics approach. Genome Biology. 15(10). 494–494. 2 indexed citations
10.
Plant, Katharine, Benjamin P. Fairfax, Seiko Makino, et al.. (2013). Fine mapping genetic determinants of the highly variably expressed MHC gene ZFP57. European Journal of Human Genetics. 22(4). 568–571. 17 indexed citations
11.
Fairfax, Benjamin P., Seiko Makino, Jayachandran Radhakrishnan, et al.. (2012). Genetics of gene expression in primary immune cells identifies cell type–specific master regulators and roles of HLA alleles. Nature Genetics. 44(5). 502–510. 309 indexed citations
12.
Refaat, Marwan M., Steven A. Lubitz, Seiko Makino, et al.. (2011). Genetic variation in the alternative splicing regulator RBM20 is associated with dilated cardiomyopathy. Heart Rhythm. 9(3). 390–396. 113 indexed citations
13.
Fairfax, Benjamin P., Emma E. Davenport, Seiko Makino, et al.. (2011). A Common Haplotype of the TNF Receptor 2 Gene Modulates Endotoxin Tolerance. The Journal of Immunology. 186(5). 3058–3065. 12 indexed citations
14.
Sinner, Moritz F., Steven A. Lubitz, Arne Pfeufer, et al.. (2010). Lack of replication in polymorphisms reported to be associated with atrial fibrillation. Heart Rhythm. 8(3). 403–409. 12 indexed citations
15.
Das, Saumya, Seiko Makino, Yonathan F. Melman, et al.. (2009). Mutation in the S3 segment of KCNQ1 results in familial lone atrial fibrillation. Heart Rhythm. 6(8). 1146–1153. 72 indexed citations
16.
Watanabe, Hiroshi, Daniel W. Kaiser, Seiko Makino, et al.. (2009). ACE I/D polymorphism associated with abnormal atrial and atrioventricular conduction in lone atrial fibrillation and structural heart disease: Implications for electrical remodeling. Heart Rhythm. 6(9). 1327–1332. 19 indexed citations
17.
Matsuura, Sumio, et al.. (1984). [Evaluation of multi-disciplinary treatment combined with intra-arterial chemotherapy for carcinoma of the meso-pharynx].. PubMed. 11(6). 1189–96. 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.

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