Genri Numata

525 citations
16 papers · 310 · 1 hit paper · h-index 7

Impact in

Papers in

Genri Numata

15 papers receiving 306 citations

Genri Numata's Hit Papers

NLRP3 Inflammasome Activation Through Heart-Brain Interaction Initiates Cardiac Inflammation and Hypertrophy During Pressure Overload 2022 · 108 citations
1080+1+2Years since publication255075100

Peers

Genri Numata
Comparison fields: 5 of 68
  • Cardiology and Cardiovascular Medicine 152
  • Physiology 61
  • Physiology 8
  • Immunology 36
  • Biological Psychiatry 4
Replace Gábor Koncsos with:
Gábor Koncsos Hungary
Juan Ignacio Burgos Argentina
Claudia Sardi Italy
Alexander Vang United States
Mohanad Gabani United States
Almudena Val‐Blasco Spain
Shafaat Hussain Sweden
Qiongfeng Wu China
Genri Numata relative to Gábor Koncsos Hungary Gábor Koncsos's profile →
Citations per field
00.5×1.5×2.5×
Gábor Koncsos · 1×
Citations per year

Countries citing papers authored by Genri Numata

Since Specialization
Citations

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

Fields of papers citing papers by Genri Numata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Genri Numata, 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 Genri Numata Line = papers co-authored together Genri Numata links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
NLRP3 Inflammasome Activation Through Heart-Brain Interaction Initiates Cardiac Inflammation and Hypertrophy During Pressure Overload
Hit paper breakdown →
2022108
2 202284
3 202246
4 202132
5 20247
6 20226
7 20236
8 20225
9 20214
10 20173
11 20223
12 20173
13 20231
14 20251
15 20221
16 20250

About Genri Numata

Genri Numata is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 16 papers that have together received 310 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Pulmonary Hypertension Research and Treatments (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Heart Failure Treatment and Management (2 papers), Cardiovascular Disease and Adiposity (2 papers), Hormonal Regulation and Hypertension (2 papers), Cardiac Ischemia and Reperfusion (2 papers) and Cardiovascular Issues in Pregnancy (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (152 citations), Physiology (61 citations), Physiology (8 citations), Immunology (36 citations) and Biological Psychiatry (4 citations). Genri Numata has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Eiki Takimoto, Issei Komuro, Masataka Sata, Wenhao Liu, Yasutomi Higashikuni, Yu Tanaka, Kimie Tanaka, Teruhiko Imamura, Yoichiro Hirata and Daiju Fukuda. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Scientific Reports, Nature Communications, Cardiovascular Research and Nature.

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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