Omar Sultan

880 citations
20 papers · 288 · h-index 9

Impact in

    • Escherichia coli research studies
    • Enterobacteriaceae and Cronobacter Research
    • Bacterial Identification and Susceptibility Testing

Papers in

Omar Sultan

19 papers receiving 285 citations

Peers

Omar Sultan
Comparison fields: 5 of 66
  • Endocrinology 100
  • Clinical Biochemistry 46
  • Infectious Diseases 74
  • Food Science 40
  • Spectroscopy 36
Replace T Mori with:
T Mori Japan
Justin C. Rolando United States
Gabriel Haddad France
Eudoxia Diza Greece
Pamela H. Eisele United States
H. Barr United Kingdom
S.F. Dealler United Kingdom
John J. Farrell United States
Donovan Trinidad United States
Harald Peter Germany
Omar Sultan relative to T Mori Japan T Mori's profile →
Citations per field
00.5×11×
T Mori · 1×
Citations per year

Countries citing papers authored by Omar Sultan

Since Specialization
Citations

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

Fields of papers citing papers by Omar Sultan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201443
2 201039
3 201030
4 201129
5 201128
6 201222
7 202019
8 202118
9 201516
10
A polymorphism in the retinol binding protein 4 gene is not associated with gestational diabetes mellitus in several different ethnic groups.
20118
11 20157
12 20157
13 20216
14 20205
15 20215
16 20212
17 20212
18 20171
19 20131
20 20150

About Omar Sultan

Omar Sultan is a scholar working on Endocrinology, Infectious Diseases, Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 288 indexed citations. Recurring topics across this work include Escherichia coli research studies (5 papers), Cardiac Arrhythmias and Treatments (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), COVID-19 diagnosis using AI (2 papers), Bacterial Genetics and Biotechnology (2 papers), COVID-19 Clinical Research Studies (2 papers), Enterobacteriaceae and Cronobacter Research (2 papers) and Cardiovascular Syncope and Autonomic Disorders (2 papers). The work is most often cited by research in Endocrinology (100 citations), Clinical Biochemistry (46 citations), Infectious Diseases (74 citations), Food Science (40 citations) and Spectroscopy (36 citations). Omar Sultan has collaborated with scholars based in United States, Iraq and Canada. Frequent co-authors include Clifton K. Fagerquist, Michelle Qiu Carter, Robert E. Mandrell, Carol R. Lauzon, Michael B. Cooley, Beatriz Quiñones, William G. Miller, Jacqueline W. Louie, Johann Urschitz and Amr Salem. Their work appears in journals such as Applied and Environmental Microbiology, Canadian Journal of Cardiology, Journal of the American Society for Mass Spectrometry, The Analyst and BMC Health Services Research.

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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