Maya Opendak

37 papers receiving 939 citations

Peers

Maya Opendak
Comparison fields: 5 of 85
  • Behavioral Neuroscience 294
  • Developmental Neuroscience 149
  • Social Psychology 427
  • Biological Psychiatry 40
  • Clinical Psychology 296
Replace Nadia Francia with:
Nadia Francia Italy
Julia L. Zehr United States
Arif Muhammad Canada
Annabel K. Short United States
Lucy Bicks United States
Alexandre V. Patchev Germany
Jörg Bock Germany
J. Bock Germany
Elseline Hoekzema Spain
Kalynn M. Schulz United States
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Citations per field
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Citations per year

Countries citing papers authored by Maya Opendak

Since Specialization
Citations

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

Fields of papers citing papers by Maya Opendak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015135
2 201764
3 201962
4 201857
5 201954
6 201944
7 201644
8 201643
9 202134
10 201934
11 201933
12 202029
13 201929
14 201527
15 202027
16 201627
17 201921
18 201620
19 201818
20 201818

About Maya Opendak

Maya Opendak is a scholar working on Social Psychology, Clinical Psychology, Behavioral Neuroscience, Cognitive Neuroscience and Developmental Neuroscience, having authored 38 papers that have together received 949 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (25 papers), Stress Responses and Cortisol (17 papers), Child and Adolescent Psychosocial and Emotional Development (15 papers), Memory and Neural Mechanisms (8 papers), Child Abuse and Trauma (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Maternal Mental Health During Pregnancy and Postpartum (3 papers). The work is most often cited by research in Behavioral Neuroscience (294 citations), Developmental Neuroscience (149 citations), Social Psychology (427 citations), Biological Psychiatry (40 citations) and Clinical Psychology (296 citations). Maya Opendak has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Regina M. Sullivan, Elizabeth Gould, Donald A. Wilson, Adrienne N. Santiago, Chiye Aoki, Emma C. Sarro, Nim Tottenham, Charlis Raineki, Rosemarie E. Perry and Roseanna M. Zanca. Their work appears in journals such as Journal of Neuroscience, Developmental Cognitive Neuroscience, Frontiers in Behavioral Neuroscience, Neuropsychopharmacology and Current Opinion in Behavioral Sciences.

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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