Grace Ngan

431 citations
8 papers · 325 · h-index 7

Impact in

    • Antibiotic Resistance in Bacteria
    • Vibrio bacteria research studies
    • Enterobacteriaceae and Cronobacter Research

Papers in

    • Antibiotic Resistance in Bacteria 4
    • Genomics and Phylogenetic Studies 1
    • Ubiquitin and proteasome pathways 1
    • Biochemical and Molecular Research 1

Grace Ngan

8 papers receiving 324 citations

Peers

Grace Ngan
Comparison fields: 5 of 51
  • Molecular Medicine 150
  • Endocrinology 65
  • Applied Microbiology and Biotechnology 16
  • Drug Discovery 1
  • Infectious Diseases 96
Replace JoAnn Dzink-Fox with:
JoAnn Dzink-Fox United States
Lumyai Wonglakorn Thailand
Rajagopalan Saranathan United States
Alfred Kinana United States
Shiva Mirkalantari Iran
Negar Narimisa Iran
Ji-Young Choi South Korea
Shyamasree De Majumdar United Kingdom
Penghao Guo China
Coloma Costas Spain
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Citations per field
00.5×2.6×
JoAnn Dzink-Fox · 1×
Citations per year

Countries citing papers authored by Grace Ngan

Since Specialization
Citations

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

Fields of papers citing papers by Grace Ngan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Grace Ngan, 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 Grace Ngan Line = papers co-authored together Grace Ngan links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 201589
2 201252
3 201345
4 201144
5 201035
6 201129
7 201726
8 20125

About Grace Ngan

Grace Ngan is a scholar working on Molecular Medicine, Molecular Biology, Endocrinology, Infectious Diseases and Ecology, having authored 8 papers that have together received 325 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (4 papers), Vibrio bacteria research studies (2 papers), Genomics and Phylogenetic Studies (1 paper), Viral gastroenteritis research and epidemiology (1 paper), Ubiquitin and proteasome pathways (1 paper), Mycobacterium research and diagnosis (1 paper), Biochemical and Molecular Research (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Molecular Medicine (150 citations), Endocrinology (65 citations), Applied Microbiology and Biotechnology (16 citations), Drug Discovery (1 citation) and Infectious Diseases (96 citations). Grace Ngan has collaborated with scholars based in Singapore, United States and South Korea. Frequent co-authors include Jeanette Teo, Roland Jureen, Michelle Balm, Raymond Tzer Pin Lin, Raymond T. P. Lin, Prabha Krishnan, Anders Poulsen, Thomas Dick, Wilfried Moreira and Jian Liang Low. Their work appears in journals such as Western Pacific surveillance response journal, mBio, Journal of Clinical Microbiology, Research in Microbiology and Letters in Applied Microbiology.

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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