Sangzin Ahn

1.8k citations
38 papers · 1.3k · h-index 13

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Plant Disease Resistance and Genetics
    • Chromosomal and Genetic Variations
    • Wheat and Barley Genetics and Pathology
    • Genetics and Plant Breeding

Papers in

Sangzin Ahn

36 papers receiving 1.2k citations

Peers

Sangzin Ahn
Comparison fields: 5 of 129
  • Health Informatics 71
  • Plant Science 721
  • Genetics 421
  • Developmental Neuroscience 34
  • Neurology 50
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Sangzin Ahn relative to Geert De Meyer Belgium Geert De Meyer's profile →
Citations per field
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Geert De Meyer · 1×
Citations per year

Countries citing papers authored by Sangzin Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Sangzin Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993495
2 1993297
3 201566
4 201652
5 201644
6 201743
7 202337
8 201633
9 202131
10 202330
11 201920
12 201319
13 202213
14 201812
15 202311
16 201910
17 201410
18 20249
19 20197
20 20197

About Sangzin Ahn

Sangzin Ahn is a scholar working on Infectious Diseases, Molecular Biology, Pharmacology, Health Informatics and Pharmacology, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (7 papers), Tuberculosis Research and Epidemiology (7 papers), Pharmacogenetics and Drug Metabolism (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Drug Transport and Resistance Mechanisms (4 papers), Computational Drug Discovery Methods (3 papers), Alzheimer's disease research and treatments (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Health Informatics (71 citations), Plant Science (721 citations), Genetics (421 citations), Developmental Neuroscience (34 citations) and Neurology (50 citations). Sangzin Ahn has collaborated with scholars based in South Korea, Vietnam and United States. Frequent co-authors include Steven D. Tanksley, Mark E. Sorrells, James A. Anderson, Eun-Jeong Yang, Moonseok Choi, Jong‐Lyul Ghim, Young Hae Chong, Hye‐Sun Kim, Jae‐Gook Shin and Hyun-Ju Kim. Their work appears in journals such as International Journal of Antimicrobial Agents, Pharmaceuticals, Drug Design Development and Therapy, The Journal of Clinical Pharmacology 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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