Emi Masuda

655 citations
17 papers · 530 · h-index 10

Impact in

    • Ovarian cancer diagnosis and treatment
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

Emi Masuda

15 papers receiving 505 citations

Peers

Emi Masuda
Comparison fields: 5 of 63
  • Reproductive Medicine 85
  • Immunology 206
  • Radiology, Nuclear Medicine and Imaging 176
  • Immunology and Allergy 18
  • Genetics 29
Replace Beth A. Schodin with:
Beth A. Schodin United States
Robert Cheek United States
Philippe C. Bishop United States
Qun Jiao United States
Y Decroix France
Beata Kotowicz Poland
Sílvia Cabrera Spain
Dominique Cazals France
Takao Katsube Japan
B Ferry United Kingdom
Emi Masuda relative to Beth A. Schodin United States Beth A. Schodin's profile →
Citations per field
00.5×4.8×
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

17 of 17 papers shown
#Work
1 2005133
2 2007119
3 200656
4 200554
5 201041
6 201034
7 200529
8 200622
9 201315
10 200214
11 20074
12 20033
13 20232
14 20162
15
Nurse's Self-Confidence of Family Presence During Resuscitation in Japanese Pediatric Emergency and Critical Care Field
20171
16 19941
17 20230

About Emi Masuda

Emi Masuda is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 530 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and B-cell Immunology (3 papers), Diabetes and associated disorders (2 papers), Immune Cell Function and Interaction (2 papers), Medical Imaging and Pathology Studies (2 papers), Muscle metabolism and nutrition (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Pregnancy-related medical research (1 paper). The work is most often cited by research in Reproductive Medicine (85 citations), Immunology (206 citations), Radiology, Nuclear Medicine and Imaging (176 citations), Immunology and Allergy (18 citations) and Genetics (29 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, Anna S. Lev-Toaff, Diane Bergin, See‐Ying Chiou, Rick Feld, Shizuko Tanaka, Yi Liu and Xiaoni Gao. Their work appears in journals such as Gastroenterology, The Journal of Immunology, Journal of Leukocyte Biology, Lung Cancer 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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