Neda Moradin

7 papers receiving 292 citations

Peers

Neda Moradin
Comparison fields: 5 of 49
  • Parasitology 61
  • Public Health, Environmental and Occupational Health 204
  • Epidemiology 179
  • Immunology 65
  • Physiology 9
Replace Vladimir Michailowsky with:
Vladimir Michailowsky Brazil
Kunal R. More India
Tania C. de Araújo-Jorge Brazil
Stefanie Graewe Germany
Flávia Alves Martins Brazil
Ana Cristina R. Saldanha Brazil
Corinna Benz United Kingdom
Mike Cross Netherlands
Bessy Gutiérrez Chile
Ismael Maldonado Chile
Neda Moradin relative to Vladimir Michailowsky Brazil Vladimir Michailowsky's profile →
Citations per field
00.5×1.7×
Vladimir Michailowsky · 1×
Citations per year

Countries citing papers authored by Neda Moradin

Since Specialization
Citations

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

Fields of papers citing papers by Neda Moradin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Neda Moradin, 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 Neda Moradin Line = papers co-authored together Neda Moradin links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2013112
2 2012109
3 201653
4 201112
5 20087
6
Genotype–Phenotype Correlations in Iranian Myotonic Dystrophy Type I Patients
20101
7
Genotype–Phenotype Correlations in Iranian Myotonic Dystrophy Type I Patients
20101

About Neda Moradin

Neda Moradin is a scholar working on Public Health, Environmental and Occupational Health, Cellular and Molecular Neuroscience, Epidemiology, Molecular Biology and Cell Biology, having authored 7 papers that have together received 295 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (4 papers), Genetic Neurodegenerative Diseases (3 papers), Trypanosoma species research and implications (2 papers), Mitochondrial Function and Pathology (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper), Lysosomal Storage Disorders Research (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Parasitology (61 citations), Public Health, Environmental and Occupational Health (204 citations), Epidemiology (179 citations), Immunology (65 citations) and Physiology (9 citations). Neda Moradin has collaborated with scholars based in Iran, Canada and Singapore. Frequent co-authors include Albert Descoteaux, Wan Jin Hong, Michel Desjardins, Marina Tiemi Shio, Martin Olivier, Angélique Bellemare‐Pelletier, Diana Matheoud, Étienne Gagnon, Hossein Najmabadi and Kimia Kahrizi. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, PLoS Pathogens, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Cell Host & Microbe and Experimental Parasitology.

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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