Minna Ng

1.3k citations
9 papers · 971 · h-index 8

Impact in

    • Neurobiology and Insect Physiology Research
    • Photoreceptor and optogenetics research
    • Neuroscience and Neural Engineering
    • Neuroscience and Neuropharmacology Research
    • Olfactory and Sensory Function Studies

Papers in

Minna Ng

9 papers receiving 959 citations

Peers

Minna Ng
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 666
  • Sensory Systems 127
  • Cognitive Neuroscience 243
  • Endocrine and Autonomic Systems 64
  • Ophthalmology 60
Replace J. Scott Lauritzen with:
J. Scott Lauritzen United States
J. L. Ringo United States
Gautam B. Awatramani Canada
Tim J. Viney United Kingdom
Barbara Blakeslee United States
Katherine I. Nagel United States
Lucas Sjulson United States
Alexander Arenz Germany
Justus M. Kebschull United States
Jack B. Calderone United States
Minna Ng relative to J. Scott Lauritzen United States J. Scott Lauritzen's profile →
Citations per field
00.5×4.4×
J. Scott Lauritzen · 1×
Citations per year

Countries citing papers authored by Minna Ng

Since Specialization
Citations

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

Fields of papers citing papers by Minna Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2002376
2 2002348
3 200873
4 200672
5 201145
6 201029
7 200913
8
Comparing Active Learning to Team-Based Learning in Undergraduate Neuroscience.
20209
9
Class Size and Student Performance in a Team-Based Learning Course.
20216

About Minna Ng

Minna Ng is a scholar working on Cellular and Molecular Neuroscience, Ophthalmology, Cognitive Neuroscience, Experimental and Cognitive Psychology and Education, having authored 9 papers that have together received 971 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (2 papers), Biomedical and Engineering Education (2 papers), Face Recognition and Perception (2 papers), Problem and Project Based Learning (2 papers), Innovative Teaching Methods (2 papers), Evolutionary Psychology and Human Behavior (2 papers), Insect and Arachnid Ecology and Behavior (1 paper) and Photochromic and Fluorescence Chemistry (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (666 citations), Sensory Systems (127 citations), Cognitive Neuroscience (243 citations), Endocrine and Autonomic Systems (64 citations) and Ophthalmology (60 citations). Minna Ng has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Gero Miesenböck, Boris V. Zemelman, Patrick Morcillo, Robert D. Roorda, Susana Q. Lima, Ione Fine, Geoffrey M. Boynton, Vivian M. Ciaramitaro, Stuart Anstis and Pamela A. Sample. Their work appears in journals such as Neuron, Optometry and Vision Science, Proceedings of the National Academy of Sciences, Journal of Glaucoma and Journal of Vision.

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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