Mimi Pham
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Behavioral Neuroscience top 10%
Papers in
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- Receptor Mechanisms and Signaling 4
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- Zebrafish Biomedical Research Applications 7
- Co-authors
- Siddharth Gaikwad (9 shared papers)Allan V. Kalueff (8 shared papers)Jeremy Green (8 shared papers)Evan J. Kyzar (9 shared papers)Andrew Roth (8 shared papers)Daniel A. Lemberg (3 shared papers)Andrew S. Day (3 shared papers)Adam Stewart (6 shared papers)
- Journals
- Behavioural Brain Research (3 papers)The Medical Journal of Australia (2 papers)Biotechnology and Genetic Engineering Reviews (1 paper)Digestive Diseases and Sciences (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Mimi Pham
14 papers receiving 573 citations
Peers
Comparison fields: 5 of 97
- Cell Biology 318
- Behavioral Neuroscience 38
- Cellular and Molecular Neuroscience 118
- Neurology 49
- Developmental Neuroscience 23
Countries citing papers authored by Mimi Pham
This map shows the geographic impact of Mimi Pham'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 Mimi Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mimi Pham more than expected).
Fields of papers citing papers by Mimi Pham
This network shows the impact of papers produced by Mimi Pham. 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 Mimi Pham. The network helps show where Mimi Pham may publish in the future.
Co-authors
The 25 scholars most cited alongside Mimi Pham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 144 | |
| 2 | 2011 | 132 | |
| 3 | 2012 | 87 | |
| 4 | 2008 | 57 | |
| 5 | 2012 | 40 | |
| 6 | 2018 | 35 | |
| 7 | 2011 | 28 | |
| 8 | 2010 | 20 | |
| 9 | 2012 | 19 | |
| 10 | 2011 | 15 | |
| 11 | 2008 | 8 | |
| 12 | 2010 | 3 | |
| 13 | Assessing habituation phenotypes in adult zebrafish: intra- and inter-trial habituation to novelty, in Zebrafish Protocols for Neurobehavioral Research | 2012 | 2 |
| 14 | 2011 | 1 |
About Mimi Pham
Mimi Pham is a scholar working on Molecular Biology, Cell Biology, Social Psychology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 14 papers that have together received 591 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (7 papers), Receptor Mechanisms and Signaling (4 papers), Neuroendocrine regulation and behavior (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Memory and Neural Mechanisms (2 papers), Intestinal Malrotation and Obstruction Disorders (1 paper), Probiotics and Fermented Foods (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Cell Biology (318 citations), Behavioral Neuroscience (38 citations), Cellular and Molecular Neuroscience (118 citations), Neurology (49 citations) and Developmental Neuroscience (23 citations). Mimi Pham has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Siddharth Gaikwad, Allan V. Kalueff, Jeremy Green, Evan J. Kyzar, Andrew Roth, Daniel A. Lemberg, Andrew S. Day, Adam Stewart, Jonathan Cachat and Christopher Collins. Their work appears in journals such as Behavioural Brain Research, The Medical Journal of Australia, Biotechnology and Genetic Engineering Reviews, Digestive Diseases and Sciences and The FASEB Journal.
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.