Jay Jin

21 papers receiving 375 citations

Peers

Jay Jin
Comparison fields: 5 of 71
  • Immunology and Allergy 62
  • Otorhinolaryngology 27
  • Physiology 87
  • Cellular and Molecular Neuroscience 64
  • Rheumatology 31
Replace Annette Cryer with:
Annette Cryer Germany
Jorge F. Ortiz-Carpena United States
Benedetta Pasquariello Italy
Yvette Crawley
Berthold Jeßberger Germany
Praveena Narayanan United States
Sarah A. Wicher United States
Chuanqing Ding United States
Emily D. Blum United States
Quinn R. Roth‐Carter United States
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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

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201053
2 202052
3 200635
4 201535
5 201533
6 201032
7 201726
8 201824
9 201322
10 201716
11 201315
12 20189
13 20209
14 20157
15 20175
16 20152
17
FLOW CYTOMETRY-BASED RADIOSENSITIVITY ASSAY: APPLICATION IN PATIENT WITH HETEROZYGOUS ATM MUTATION AND CLINICAL ATAXIA TELANGIECTASIA PHENOTYPE
20161
18 20161
19
Detection of Sources of Harmful Radiation using Portable Sensors
20161
20 20181

About Jay Jin

Jay Jin is a scholar working on Immunology and Allergy, Physiology, Cellular and Molecular Neuroscience, Dermatology and Rheumatology, having authored 23 papers that have together received 380 indexed citations. Recurring topics across this work include Allergic Rhinitis and Sensitization (5 papers), Asthma and respiratory diseases (3 papers), Neuropeptides and Animal Physiology (3 papers), Food Allergy and Anaphylaxis Research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Receptor Mechanisms and Signaling (2 papers) and Eosinophilic Esophagitis (2 papers). The work is most often cited by research in Immunology and Allergy (62 citations), Otorhinolaryngology (27 citations), Physiology (87 citations), Cellular and Molecular Neuroscience (64 citations) and Rheumatology (31 citations). Jay Jin has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Robert G. Levenson, Joseph H. Butterfield, Catherine R. Weiler, Saranya Kittanakom, Igor Štagljar, Victoria Wong, 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, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Journal of Clinical Immunology and The American Journal of Human Genetics.

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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