Omar Elfeky

3.0k citations
15 papers · 2.0k indexed · 1 hit paper · h-index 10

Impact in

Papers in

Omar Elfeky

15 papers receiving 2.0k citations

Hit Papers

Association between insulin resistance and the development of cardiovascular disease 2018 · 1.5k citations
1.5k20182026202020234008001.2k

Peers

Omar Elfeky
Comparison fields: 5 of 108
  • Obstetrics and Gynecology 377
  • Endocrinology, Diabetes and Metabolism 647
  • Cardiology and Cardiovascular Medicine 486
  • Cancer Research 216
  • Epidemiology 444
Replace Soumyalekshmi Nair with:
Soumyalekshmi Nair Australia
Valeska Ormazábal Chile
David Benaiges Spain
Kuppan Gokulakrishnan India
Josephine Cooney United Kingdom
Angela Tesse France
Weiqiong Gu China
Camilla F. Wenceslau United States
Akira Katsuki Japan
Ginger Hook United States
Omar Elfeky relative to Soumyalekshmi Nair Australia Soumyalekshmi Nair's profile →
Citations per field
00.5×10×15×20×23×
Soumyalekshmi Nair · 1×
Citations per year

Countries citing papers authored by Omar Elfeky

Since Specialization
Citations

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

Fields of papers citing papers by Omar Elfeky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20232
2 202331
3 20211
4 202041
5 20201
6 20192
7 20199
8
Association between insulin resistance and the development of cardiovascular disease
Hit paper breakdown →
20181468
9 201859
10 2018111
11 201723
12 2017105
13 201689
14 201624
15 201680

About Omar Elfeky

Omar Elfeky is a scholar working on Obstetrics and Gynecology, Complementary and Manual Therapy, Cancer Research, Immunology and Hepatology, having authored 15 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (8 papers), Extracellular vesicles in disease (7 papers), Reproductive System and Pregnancy (4 papers), MicroRNA in disease regulation (3 papers), Gestational Diabetes Research and Management (2 papers), Liver Disease and Transplantation (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Vitamin C and Antioxidants Research (1 paper). The work is most often cited by research in Obstetrics and Gynecology (377 citations), Endocrinology, Diabetes and Metabolism (647 citations), Cardiology and Cardiovascular Medicine (486 citations), Cancer Research (216 citations) and Epidemiology (444 citations). Omar Elfeky has collaborated with scholars based in United States, Australia and Chile. Frequent co-authors include Carlos Salomón, Felipe Zúñiga, Soumyalekshmi Nair, Valeska Ormazábal, Claudio Aguayo, Gregory E. Rice, Andrew Lai, Sherri Longo, Dominic Guanzon and Carlos Palma. Their work appears in journals such as Placenta, The American Journal of Gastroenterology, Journal of Investigative Medicine, Clinical Science and Endocrine Related Cancer.

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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2026