Mimi Pham

18 papers receiving 760 citations

Peers

Mimi Pham
Comparison fields: 5 of 96
  • Cell Biology 458
  • Behavioral Neuroscience 41
  • Cellular and Molecular Neuroscience 129
  • Neurology 54
  • Social Psychology 135
Replace John DiLeo with:
John DiLeo United States
Michael Nguyen United States
Elana Kysil Russia
Evander de Jesus Oliveira Batista Brazil
Thomas Gilder United States
Rafael Genário Brazil
João Gabriel Santos Rosa Brazil
Darlan Gusso Brazil
Ana M. Valentim Portugal
Nicholas W. Bellono United States
Mimi Pham relative to John DiLeo United States John DiLeo's profile →
Citations per field
00.5×
John DiLeo · 1×
Citations per year

Countries citing papers authored by Mimi Pham

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mimi Pham Line = papers co-authored together Mimi Pham links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2012156
2 2011140
3 2012116
4 201297
5 200864
6 201243
7 201836
8 201130
9 201020
10 201219
11 201118
12 201216
13 201213
14 20089
15 20103
16
Assessing habituation phenotypes in adult zebrafish: intra- and inter-trial habituation to novelty, in Zebrafish Protocols for Neurobehavioral Research
20122
17 20111
18 20121

About Mimi Pham

Mimi Pham is a scholar working on Cell Biology, Molecular Biology, Social Psychology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 18 papers that have together received 784 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (11 papers), Neuroendocrine regulation and behavior (7 papers), Receptor Mechanisms and Signaling (7 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Memory and Neural Mechanisms (2 papers), Autism Spectrum Disorder Research (1 paper), RNA modifications and cancer (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Cell Biology (458 citations), Behavioral Neuroscience (41 citations), Cellular and Molecular Neuroscience (129 citations), Neurology (54 citations) and Social Psychology (135 citations). Mimi Pham has collaborated with scholars based in United States, Australia and New Zealand. Frequent co-authors include Allan V. Kalueff, Jeremy Green, Evan J. Kyzar, Siddharth Gaikwad, Andrew Roth, Adam Stewart, Daniel A. Lemberg, Andrew S. Day, 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 Zebrafish.

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.

Explore authors with similar magnitude of impact