Fanny Ng

1.1k citations
18 papers · 842 · h-index 15

Impact in

Papers in

Fanny Ng

17 papers receiving 832 citations

Peers

Fanny Ng
Comparison fields: 5 of 57
  • Endocrine and Autonomic Systems 593
  • Aging 139
  • Cellular and Molecular Neuroscience 450
  • Plant Science 341
  • Cognitive Neuroscience 77
Replace Bridget C. Lear with:
Bridget C. Lear United States
Keri J. Fogle United States
Corinna Wülbeck Germany
Marcus Täuber Germany
Kanyan Xu China
Nara Ines Muraro United Kingdom
Jongkyun Kang United States
Martin Schwärzel Germany
Margaret C.W. Ho United States
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Citations per field
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Citations per year

Countries citing papers authored by Fanny Ng

Since Specialization
Citations

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

Fields of papers citing papers by Fanny Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2003233
2 2011119
3 2002106
4 201648
5 201248
6 200842
7 201440
8 201430
9 201529
10 200828
11 200927
12 201524
13 201420
14 201218
15 200816
16 201212
17
Physiologic and psychosocial approaches to global management of the hemodialysis patient in the Southern Alberta Renal Program.
20122
18
CLOCK expression and regulation during development in Drosophila
20060

About Fanny Ng

Fanny Ng is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Aging, Plant Science and Nephrology, having authored 18 papers that have together received 842 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (12 papers), Neurobiology and Insect Physiology Research (8 papers), Light effects on plants (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Plant Molecular Biology Research (2 papers), Photoreceptor and optogenetics research (2 papers), CRISPR and Genetic Engineering (1 paper) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (593 citations), Aging (139 citations), Cellular and Molecular Neuroscience (450 citations), Plant Science (341 citations) and Cognitive Neuroscience (77 citations). Fanny Ng has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include F. Rob Jackson, Paul E. Hardin, Jerry H. Houl, Michelle M. Tangredi, Hao Zheng, Nicholas R.J. Glossop, SCOTT M. DUDEK, Yanmei Huang, Eun Young Kim and Isaac Edery. Their work appears in journals such as Journal of Biological Rhythms, Journal of Biological Chemistry, Journal of Neuroscience, Neuron and Frontiers in Molecular Neuroscience.

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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