Maede Ejaredar

756 citations
15 papers · 616 · h-index 10

Impact in

Papers in

Maede Ejaredar

13 papers receiving 603 citations

Peers

Maede Ejaredar
Comparison fields: 5 of 89
  • Health, Toxicology and Mutagenesis 376
  • Developmental Neuroscience 26
  • Behavioral Neuroscience 18
  • Pollution 59
  • Biological Psychiatry 8
Replace Jin Zhai with:
Jin Zhai China
Amanda Lopes-Araújo Brazil
Letícia Santos-Sacramento Brazil
Mario Ćurković Croatia
Keith Morris‐Schaffer United States
Michele Taylor United States
Chenxiao Ling United States
Roni W. Kobrosly United States
Richard Hornung United States
C. Wang United States
Maede Ejaredar relative to Jin Zhai China Jin Zhai's profile →
Citations per field
00.5×1.5×2×2.4×
Jin Zhai · 1×
Citations per year

Countries citing papers authored by Maede Ejaredar

Since Specialization
Citations

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

Fields of papers citing papers by Maede Ejaredar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2015256
2 2016132
3 200742
4 201639
5 201738
6 202127
7 201121
8 202020
9 201415
10 201314
11 20247
12 20224
13 20221
14 20250
15 20240

About Maede Ejaredar

Maede Ejaredar is a scholar working on Health, Toxicology and Mutagenesis, Psychiatry and Mental health, Pharmacology, Sensory Systems and Emergency Medical Services, having authored 15 papers that have together received 616 indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (4 papers), Electroconvulsive Therapy Studies (2 papers), Cannabis and Cannabinoid Research (1 paper), Autoimmune and Inflammatory Disorders Research (1 paper), Olfactory and Sensory Function Studies (1 paper), Healthcare Systems and Challenges (1 paper), Memory and Neural Mechanisms (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (376 citations), Developmental Neuroscience (26 citations), Behavioral Neuroscience (18 citations), Pollution (59 citations) and Biological Psychiatry (8 citations). Maede Ejaredar has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Deborah Dewey, Elias Charles Nyanza, Kayla Ten Eycke, Derek J. Roberts, Reginald S. Sauve, Brad F. Hagen, Jonathan Martin, Nicole L. Letourneau, Jiaying Liu and Gerald F. Giesbrecht. Their work appears in journals such as Environmental Research, Current Problems in Cardiology, Neuroscience, Journal of Clinical Epidemiology and Journal of Exposure Science & Environmental Epidemiology.

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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