Abdullah Egiz

16 papers receiving 294 citations

Abdullah Egiz's Hit Papers

Survey Fatigue During the COVID-19 Pandemic: An Analysis of Neurosurgery Survey Response Rates 2021 · 208 citations
2080+1+3Years since publication50100150200

Peers

Abdullah Egiz
Comparison fields: 5 of 94
  • Health Informatics 5
  • Research and Theory 2
  • Public Health, Environmental and Occupational Health 50
  • Neurology 26
  • Health 14
Replace David Ulrich Dalle with:
David Ulrich Dalle Morocco
Jay Kotecha Morocco
George Higginbotham United Kingdom
Joshua Erhabor Morocco
Dawin Sichimba Zambia
Rosaline de Koning United Kingdom
Nourou Dine Adeniran Bankolé Morocco
Setthasorn Zhi Yang Ooi United Kingdom
Michelle Grunauer Ecuador
Joanna Ashby United States
Abdullah Egiz relative to David Ulrich Dalle Morocco David Ulrich Dalle's profile →
Citations per field
00.5×1.5×
David Ulrich Dalle · 1×
Citations per year

Countries citing papers authored by Abdullah Egiz

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Egiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Survey Fatigue During the COVID-19 Pandemic: An Analysis of Neurosurgery Survey Response Rates
Hit paper breakdown →
2021208
2 202316
3 202111
4 20219
5 20229
6 20218
7 20228
8 20247
9 20226
10 20226
11 20224
12 20224
13 20242
14 20221
15 20221
16 20211
17 20220
18 20220

About Abdullah Egiz

Abdullah Egiz is a scholar working on Genetics, Emergency Medicine, Surgery, Molecular Biology and Pathology and Forensic Medicine, having authored 18 papers that have together received 301 indexed citations. Recurring topics across this work include Trauma and Emergency Care Studies (3 papers), Glioma Diagnosis and Treatment (3 papers), Meningioma and schwannoma management (2 papers), Spinal Cord Injury Research (2 papers), Emergency and Acute Care Studies (2 papers), Chromatin Remodeling and Cancer (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (5 citations), Research and Theory (2 citations), Public Health, Environmental and Occupational Health (50 citations), Neurology (26 citations) and Health (14 citations). Abdullah Egiz has collaborated with scholars based in United Kingdom, Morocco and Russia. Frequent co-authors include David Ulrich Dalle, Jay Kotecha, Nourou Dine Adeniran Bankolé, Ulrick Sidney Kanmounye, Soham Bandyopadhyay, Dawin Sichimba, Setthasorn Zhi Yang Ooi, George Higginbotham, Joshua Erhabor and Mehdi Khan. Their work appears in journals such as British journal of surgery, World Neurosurgery, BMJ Open Gastroenterology, Cochrane Database of Systematic Reviews and European Journal of Surgical Oncology.

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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