Emi Masuda

649 citations
16 papers · 487 · h-index 10

Impact in

    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Ovarian cancer diagnosis and treatment

Papers in

Emi Masuda

15 papers receiving 473 citations

Peers

Emi Masuda
Comparison fields: 5 of 61
  • Immunology 212
  • Reproductive Medicine 80
  • Radiology, Nuclear Medicine and Imaging 177
  • Immunology and Allergy 24
  • Genetics 30
Replace Beth A. Schodin with:
Beth A. Schodin United States
Takao Katsube Japan
John T. Bickel United States
Manabu Kuriyama Japan
J Gaillard France
David Fei United States
LiVolsi Va United States
Wen‐Jie Wang China
Romano Scalerta Italy
FREDERIC I. PREFFER United States
Emi Masuda relative to Beth A. Schodin United States Beth A. Schodin's profile →
Citations per field
00.5×
Beth A. Schodin · 1×
Citations per year

Countries citing papers authored by Emi Masuda

Since Specialization
Citations

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

Fields of papers citing papers by Emi Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2005124
2 2007104
3 200655
4 200550
5 201032
6 201032
7 200528
8 200622
9 201315
10 200213
11 20034
12 20074
13 20232
14
Nurse's Self-Confidence of Family Presence During Resuscitation in Japanese Pediatric Emergency and Critical Care Field
20171
15 20161
16 20230

About Emi Masuda

Emi Masuda is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology, Surgery and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 487 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and B-cell Immunology (3 papers), Medical Imaging and Pathology Studies (2 papers), Diabetes and associated disorders (2 papers), Immune Cell Function and Interaction (2 papers), Natural Language Processing Techniques (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Immunology (212 citations), Reproductive Medicine (80 citations), Radiology, Nuclear Medicine and Imaging (177 citations), Immunology and Allergy (24 citations) and Genetics (30 citations). Emi Masuda has collaborated with scholars based in United States, Japan and Malaysia. Frequent co-authors include Luminita Pricop, Marissa C. Blank, Patricia Redecha, See‐Ying Chiou, Diane Bergin, Anna S. Lev-Toaff, Rick Feld, Shizuko Tanaka, Xiaoni Gao and Yi Liu. Their work appears in journals such as Journal of Leukocyte Biology, Human Genetics, Clinical Immunology, Journal of Ultrasound in Medicine and Nutrition and Cancer.

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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