Ai‐Ling Hour

817 citations
19 papers · 428 · h-index 11

Impact in

    • Antimicrobial Peptides and Activities
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 5
    • Rice Cultivation and Yield Improvement 4
    • GABA and Rice Research 3

Ai‐Ling Hour

18 papers receiving 415 citations

Peers

Ai‐Ling Hour
Comparison fields: 5 of 73
  • Microbiology 114
  • Immunology 129
  • Plant Science 121
  • Genetics 75
  • Aquatic Science 19
Replace Wilfrid Dieryck with:
Wilfrid Dieryck France
Michael McArthur United Kingdom
Haitao Shao China
Muhammad Nadeem Abbas China
Chao Qi China
Monde Ntwasa South Africa
Stephen E. Miller United States
In Seok Bang South Korea
Manal Abdel Dayem France
Ai‐Ling Hour relative to Wilfrid Dieryck France Wilfrid Dieryck's profile →
Citations per field
00.5×3.1×
Wilfrid Dieryck · 1×
Citations per year

Countries citing papers authored by Ai‐Ling Hour

Since Specialization
Citations

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

Fields of papers citing papers by Ai‐Ling Hour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ai‐Ling Hour. 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 Ai‐Ling Hour. The network helps show where Ai‐Ling Hour may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2012129
2 201189
3 200837
4 202032
5 201025
6
Genetic diversity of rice germplasm used in Taiwan breeding programs
201223
7 200822
8 200920
9 201915
10 201712
11 201711
12
Detection of SNPs between Tainung 67 and Nipponbare rice cultivars
20074
13 20213
14 20232
15 20221
16
Genetic diversity of common germplasm used in rice breeding in Taiwan.
20121
17
The effects of Hd1, Hd6, and Ehd1 on rice heading date.
20111
18 20101
19 20240

About Ai‐Ling Hour

Ai‐Ling Hour is a scholar working on Genetics, Plant Science, Immunology, Molecular Biology and Hematology, having authored 19 papers that have together received 428 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (5 papers), Rice Cultivation and Yield Improvement (4 papers), GABA and Rice Research (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Aquaculture disease management and microbiota (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Microbiology (114 citations), Immunology (129 citations), Plant Science (121 citations), Genetics (75 citations) and Aquatic Science (19 citations). Ai‐Ling Hour has collaborated with scholars based in Taiwan and Pakistan. Frequent co-authors include Jyh‐Yih Chen, Chieh‐Yu Pan, Yong‐Pei Wu, Yann‐Rong Lin, Yue‐Ie Hsing, Fu‐Jin Wei, Kuang-Yu Hu, Yao‐Jen Liang, Han‐Min Chen and Yeong-Der Yao. Their work appears in journals such as Botanical studies, Frontiers in Immunology, PLoS ONE, Geriatrics and gerontology international and Scientific Reports.

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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