Jay Jin

19 papers receiving 295 citations

Peers

Jay Jin
Comparison fields: 5 of 64
  • Immunology and Allergy 44
  • Otorhinolaryngology 26
  • Cellular and Molecular Neuroscience 60
  • Behavioral Neuroscience 7
  • Rheumatology 25
Replace Marco Merida with:
Marco Merida United States
Annette Cryer Germany
Praveena Narayanan United States
Qianyi Yang United States
Z. Liu China
Quinn R. Roth‐Carter United States
Matsuka Murakami Japan
Eugene W. Taylor United States
Ping Ye United States
Jane Redford Canada
Jay Jin relative to Marco Merida United States Marco Merida's profile →
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Citations per year

Countries citing papers authored by Jay Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jay Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201049
2 200635
3 201535
4 201029
5 201527
6 201723
7 201821
8 201320
9 201314
10 201714
11 20157
12 20187
13 20175
14 20205
15 20152
16
FLOW CYTOMETRY-BASED RADIOSENSITIVITY ASSAY: APPLICATION IN PATIENT WITH HETEROZYGOUS ATM MUTATION AND CLINICAL ATAXIA TELANGIECTASIA PHENOTYPE
20161
17 20181
18 20161
19
Detection of Sources of Harmful Radiation using Portable Sensors
20161
20 20180

About Jay Jin

Jay Jin is a scholar working on Immunology and Allergy, Molecular Biology, Surgery, Cellular and Molecular Neuroscience and Infectious Diseases, having authored 20 papers that have together received 297 indexed citations. Recurring topics across this work include Allergic Rhinitis and Sensitization (4 papers), Neuropeptides and Animal Physiology (3 papers), Receptor Mechanisms and Signaling (2 papers), Eosinophilic Esophagitis (2 papers), Food Allergy and Anaphylaxis Research (2 papers), Asthma and respiratory diseases (2 papers), Eosinophilic Disorders and Syndromes (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Immunology and Allergy (44 citations), Otorhinolaryngology (26 citations), Cellular and Molecular Neuroscience (60 citations), Behavioral Neuroscience (7 citations) and Rheumatology (25 citations). Jay Jin has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Robert Levenson, Joseph H. Butterfield, Igor Štagljar, Victoria Wong, Catherine R. Weiler, Saranya Kittanakom, Wade H. Berrettini, Beverly A.S. Reyes, Elisabeth J. Van Bockstaele and Hirohito Kita. Their work appears in journals such as The Journal of Allergy and Clinical Immunology In Practice, Journal of Allergy and Clinical Immunology, Circulation, Open Forum Infectious Diseases and Developmental Dynamics.

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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