Seiko Makino

5.1k citations
17 papers · 1.3k indexed · 1 hit paper · h-index 13

Seiko Makino

17 papers receiving 1.3k citations

Hit Papers

Innate Immune Activity Conditions the Effect of Regulator...4752014202620182022100200300400

Peers

Seiko Makino
Comparison fields: 5 of 93
  • Immunology 450
  • Genetics 373
  • Cancer Research 143
  • Molecular Biology 624
  • Cardiology and Cardiovascular Medicine 192
Replace Fuencisla Matesanz with:
Fuencisla Matesanz Spain
Marı́a Fedetz Spain
Kazuyoshi Ishigaki Japan
Daniela Giachino Italy
Lynn E. Macdonald United States
L. Hashimoto United Kingdom
Alina C. Iuga United States
Katharine Plant United Kingdom
Naoko Seki Japan
Barry Healy United Kingdom
Seiko Makino relative to Fuencisla Matesanz Spain Fuencisla Matesanz's profile →
Citations per field
00.5×3.4×
Fuencisla Matesanz · 1×
Citations per year

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

The 25 scholars most cited alongside Seiko Makino, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Seiko Makino Line = papers co-authored together Seiko Makino links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 202321
2 202214
3 201930
4 201762
5 201665
6 201582
7 201428
8
Innate Immune Activity Conditions the Effect of Regulatory Variants upon Monocyte Gene Expressionbreakdown →
2014475
9 20142
10 201317
11 2012309
12 2011113
13 201112
14 201012
15 200919
16 200972
17
[Evaluation of multi-disciplinary treatment combined with intra-arterial chemotherapy for carcinoma of the meso-pharynx].
19841

About Seiko Makino

Seiko Makino is a scholar working on Immunology, Otorhinolaryngology and Genetics, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Genetic Syndromes and Imprinting (2 papers), Genetic Associations and Epidemiology (2 papers), Immune Response and Inflammation (2 papers), Cardiac Valve Diseases and Treatments (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Immunology (450 citations), Genetics (373 citations) and Cancer Research (143 citations). Seiko Makino has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Benjamin P. Fairfax, Julian C. Knight, Katharine Plant, Vivek Naranbhai, Peter Humburg, Daniel Wong, Evelyn Lau, Luke Jostins, Robert Andrews and Jayachandran Radhakrishnan. Their work appears in journals such as Science, Nature Communications and Nature Genetics.

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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