Anh N.

503 citations
10 papers · 236 · h-index 7

Impact in

Papers in

    • Asthma and respiratory diseases 2
    • Alzheimer's disease research and treatments 1
    • Epigenetics and DNA Methylation 1
    • Gene expression and cancer classification 1
    • Bioinformatics and Genomic Networks 1

Anh N.

9 papers receiving 234 citations

Peers

Anh N.
Comparison fields: 5 of 60
  • Immunology and Allergy 49
  • Physiology 53
  • Molecular Biology 97
  • Pediatrics, Perinatology and Child Health 18
  • Immunology 20
Replace Katharina Schramm with:
Katharina Schramm Germany
Min Jee Park South Korea
Astrud Tuck Australia
Rana Misiak United States
Laura B. Fanning United States
Jarna Moilanen Finland
Xiaobin Wang United States
Shan Deng China
Emma Broadfield United Kingdom
Juan-Felipe López Colombia
Anh N. relative to Katharina Schramm Germany Katharina Schramm's profile →
Citations per field
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Katharina Schramm · 1×
Citations per year

Countries citing papers authored by Anh N.

Since Specialization
Citations

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

Fields of papers citing papers by Anh N.

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201661
2 201955
3 201843
4 202021
5 202120
6 201915
7 201413
8 20216
9 20192
10 20260

About Anh N.

Anh N. is a scholar working on Physiology, Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 10 papers that have together received 236 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (2 papers), Genetic Associations and Epidemiology (2 papers), Alzheimer's disease research and treatments (1 paper), Epigenetics and DNA Methylation (1 paper), Gene expression and cancer classification (1 paper), Diet, Metabolism, and Disease (1 paper), Bioinformatics and Genomic Networks (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Immunology and Allergy (49 citations), Physiology (53 citations), Molecular Biology (97 citations), Pediatrics, Perinatology and Child Health (18 citations) and Immunology (20 citations). Anh N. has collaborated with scholars based in United States and Spain. Frequent co-authors include Supinda Bunyavanich, Alexander Grishin, Hemant K. Tiwari, Marguerite R. Irvin, Donna K. Arnett, Bertha Hidalgo, Degui Zhi, Stella Aslibekyan, Devin Absher and Galina Grishina. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Clinical Epigenetics, Cell Reports, Alzheimer s & Dementia and PLoS ONE.

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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