Elma Stephen

1.1k citations
3 papers · 109 · h-index 3

Impact in

Papers in

    • Muscle Physiology and Disorders 1
    • Genetics and Neurodevelopmental Disorders 1
    • Neurogenetic and Muscular Disorders Research 1

Elma Stephen

3 papers receiving 100 citations

Peers

Elma Stephen
Comparison fields: 5 of 40
  • Ophthalmology 14
  • Public Health, Environmental and Occupational Health 25
  • Epidemiology 23
  • Psychiatry and Mental health 10
  • Radiology, Nuclear Medicine and Imaging 15
Replace Gabriella Szatmáry with:
Gabriella Szatmáry United States
Hani Kushlaf United States
Nick Hall United Kingdom
Lanxing Fu United Kingdom
A. Gómez-Bastero Fernández Spain
Vera Fominykh Russia
Ravindranath Duggirala United States
Shailja Tibrewal India
Thibault Willaume France
Jonathan Dallas United States
Elma Stephen relative to Gabriella Szatmáry United States Gabriella Szatmáry's profile →
Citations per field
00.5×3.3×
Gabriella Szatmáry · 1×
Citations per year

Countries citing papers authored by Elma Stephen

Since Specialization
Citations

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

Fields of papers citing papers by Elma Stephen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Elma Stephen, 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 Elma Stephen Line = papers co-authored together Elma Stephen links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About Elma Stephen

Elma Stephen is a scholar working on Molecular Biology, Genetics, Ophthalmology, Epidemiology and Physiology, having authored 3 papers that have together received 109 indexed citations. Recurring topics across this work include Ophthalmology and Visual Impairment Studies (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Retinal Diseases and Treatments (1 paper), Attention Deficit Hyperactivity Disorder (1 paper), Ophthalmology and Visual Health Research (1 paper), Neurogenetic and Muscular Disorders Research (1 paper), Muscle Physiology and Disorders (1 paper) and Nutrition and Health in Aging (1 paper). The work is most often cited by research in Ophthalmology (14 citations), Public Health, Environmental and Occupational Health (25 citations), Epidemiology (23 citations), Psychiatry and Mental health (10 citations) and Radiology, Nuclear Medicine and Imaging (15 citations). Elma Stephen has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Jennifer L. Dickson, Iain Horrocks, Sze Choong Wong, Alex Baxter, Ishaq Abu‐Arafeh, Linda McLellan, Marina Di Marco, Karen Naismith and S. Faisal Ahmed. Their work appears in journals such as Neuromuscular Disorders, Archives of Disease in Childhood and Developmental Medicine & Child Neurology.

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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