Mari Numata

1.3k citations
35 papers · 975 · h-index 15

Impact in

Papers in

Mari Numata

34 papers receiving 956 citations

Peers

Mari Numata
Comparison fields: 5 of 99
  • Endocrine and Autonomic Systems 74
  • Pulmonary and Respiratory Medicine 325
  • Immunology 195
  • Epidemiology 222
  • Physiology 164
Replace Angela M. Preston with:
Angela M. Preston United States
Susan M. Phare United States
Praveen Mannam United States
Kunihiko Kooguchi Japan
Christoph R. Werner Germany
Rizwan Manzer United States
Mary McElroy United Kingdom
Yashoda Madaiah Hosakote United States
Michela Schäppi Switzerland
J. Freek van Iwaarden Netherlands
Mari Numata relative to Angela M. Preston United States Angela M. Preston's profile →
Citations per field
00.5×2×4×6×8.8×
Angela M. Preston · 1×
Citations per year

Countries citing papers authored by Mari Numata

Since Specialization
Citations

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

Fields of papers citing papers by Mari Numata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009151
2 1998135
3 201386
4 201180
5 201964
6 201962
7 201344
8 201938
9 202237
10 201535
11 202034
12 201631
13 199724
14 202323
15 201821
16 200312
17 202212
18 202212
19 201910
20 20238

About Mari Numata

Mari Numata is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Physiology, Immunology and Endocrine and Autonomic Systems, having authored 35 papers that have together received 975 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (14 papers), Respiratory Support and Mechanisms (10 papers), Respiratory viral infections research (9 papers), Neuroscience of respiration and sleep (7 papers), Asthma and respiratory diseases (6 papers), Influenza Virus Research Studies (4 papers), IL-33, ST2, and ILC Pathways (4 papers) and Pediatric health and respiratory diseases (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (74 citations), Pulmonary and Respiratory Medicine (325 citations), Immunology (195 citations), Epidemiology (222 citations) and Physiology (164 citations). Mari Numata has collaborated with scholars based in United States, Japan and Ukraine. Frequent co-authors include Dennis R. Voelker, Hong Wei Chu, Yoji Nagashima, Azzeddine Dakhama, Pitchaimani Kandasamy, Shunsuke Suzuki, Takao Okubo, Naoki Miyazawa, Akira Miyashita and Takeshi Kaneko. Their work appears in journals such as Journal of Lipid Research, Frontiers in Immunology, The Journal of Immunology, Viruses and Journal of Biological Chemistry.

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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