Maede Ejaredar

730 citations
14 papers · 541 · h-index 9

Impact in

Papers in

Maede Ejaredar

12 papers receiving 532 citations

Peers

Maede Ejaredar
Comparison fields: 5 of 89
  • Health, Toxicology and Mutagenesis 348
  • Developmental Neuroscience 34
  • Chemical Health and Safety 5
  • Behavioral Neuroscience 21
  • Pollution 61
Replace Jin Zhai with:
Jin Zhai China
Zhong-Xin Wu United States
Carolyn Klocke United States
Amanda Lopes-Araújo Brazil
Letícia Santos-Sacramento Brazil
Nahoko Iwata Japan
Mario Ćurković Croatia
Robyn M. Amos‐Kroohs United States
Rosamund Dove United Kingdom
Marta Cosín‐Tomás Spain
Maede Ejaredar relative to Jin Zhai China Jin Zhai's profile →
Citations per field
00.5×1.5×2.4×
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

14 of 14 papers shown
#Work
1 2015235
2 2016121
3 200743
4 201635
5 201729
6 201121
7 202019
8 201414
9 201314
10 20245
11 20224
12 20221
13 20240
14 20250

About Maede Ejaredar

Maede Ejaredar is a scholar working on Cardiology and Cardiovascular Medicine, Health, Toxicology and Mutagenesis, Pharmacology, General Health Professions and Clinical Psychology, having authored 14 papers that have together received 541 indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (4 papers), Perfectionism, Procrastination, Anxiety Studies (2 papers), Electroconvulsive Therapy Studies (2 papers), Takotsubo Cardiomyopathy and Associated Phenomena (2 papers), Pharmacological Effects of Medicinal Plants (1 paper), Health Sciences Research and Education (1 paper), Cardiac Arrhythmias and Treatments (1 paper) and Atrial Fibrillation Management and Outcomes (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (348 citations), Developmental Neuroscience (34 citations), Chemical Health and Safety (5 citations), Behavioral Neuroscience (21 citations) and Pollution (61 citations). Maede Ejaredar has collaborated with scholars based in Canada, Australia and Lebanon. Frequent co-authors include Deborah Dewey, Elias C. Nyanza, Kayla Ten Eycke, Derek J. Roberts, Reginald S. Sauve, Brad Hagen, John E. McKenna, Robert J. McDonald, Gerald F. Giesbrecht and Jiaying Liu. Their work appears in journals such as Environmental Research, Canadian Medical Association Journal, Journal of Exposure Science & Environmental Epidemiology, Neuroscience and Environmental Health.

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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