Sangzin Ahn

1.9k citations
40 papers · 1.3k · h-index 14

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

37 papers receiving 1.3k citations

Peers

Sangzin Ahn
Comparison fields: 5 of 127
  • Health Informatics 68
  • Plant Science 712
  • Genetics 415
  • Developmental Neuroscience 31
  • Neurology 45
Replace Geert De Meyer with:
Geert De Meyer Belgium
Weidi Wang China
Andrew J. Crossthwaite United Kingdom
He Xie China
Lichao Chen China
Kaori Yamada Japan
Xue Luo China
Liqiang He China
Xianchun Wang China
Peter Sýkora United States
Sangzin Ahn relative to Geert De Meyer Belgium Geert De Meyer's profile →
Citations per field
00.5×5.7×
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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993496
2 1993297
3 201569
4 201655
5 201744
6 201644
7 202339
8 202135
9 201635
10 202332
11 201922
12 201319
13 202215
14 202413
15 201812
16 202311
17 201910
18 201410
19 20248
20 20197

About Sangzin Ahn

Sangzin Ahn is a scholar working on Molecular Biology, Health Informatics, Pharmacology, Infectious Diseases and Pharmacology, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Artificial Intelligence in Healthcare and Education (7 papers), Tuberculosis Research and Epidemiology (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Olfactory and Sensory Function Studies (2 papers) and Autism Spectrum Disorder Research (2 papers). The work is most often cited by research in Health Informatics (68 citations), Plant Science (712 citations), Genetics (415 citations), Developmental Neuroscience (31 citations) and Neurology (45 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 PLoS ONE, The Journal of Clinical Pharmacology, Pharmaceuticals, Drug Design Development and Therapy and International Journal of Antimicrobial Agents.

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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