İbrahim Aslan

21 papers receiving 231 citations

Peers

İbrahim Aslan
Comparison fields: 5 of 66
  • Biochemistry 21
  • Modeling and Simulation 11
  • Genetics 23
  • Endocrinology, Diabetes and Metabolism 35
  • Clinical Biochemistry 13
Replace Manuel Alejandro Vargas-Vargas with:
Manuel Alejandro Vargas-Vargas Mexico
Rodrigo P. Silva‐Aguiar Brazil
Michael Hall Belgium
Zheying Tao China
Xiaoli Ma China
Nilay Dey United States
Helena Castañé Spain
Manal Mohamed Helmy Nabo Egypt
Andrea F. D. Di Stefano Italy
Sidnéia Sousa Santos Brazil
İbrahim Aslan relative to Manuel Alejandro Vargas-Vargas Mexico Manuel Alejandro Vargas-Vargas's profile →
Citations per field
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Citations per year

Countries citing papers authored by İbrahim Aslan

Since Specialization
Citations

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

Fields of papers citing papers by İbrahim Aslan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201337
2 200334
3 201328
4 201222
5 201819
6 201414
7 201313
8 202212
9 201610
10 20218
11
Serum Sphingolipidomic Analysis in Acne Vulgaris Patients.
20198
12 20137
13 20166
14 20233
15 19963
16 20233
17
Leptospirosis models: vaccination of cattle and early detection in humans
20192
18
Serum thyroid hormones and TSH concentrations in amiodarone treated rabbits
19941
19 20091
20 20131

About İbrahim Aslan

İbrahim Aslan is a scholar working on Infectious Diseases, Endocrinology, Diabetes and Metabolism, Physiology, Modeling and Simulation and Surgery, having authored 22 papers that have together received 233 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Diet and metabolism studies (3 papers), Bariatric Surgery and Outcomes (2 papers), COVID-19 Pandemic Impacts (2 papers), Acne and Rosacea Treatments and Effects (2 papers), Leptospirosis research and findings (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Biochemistry (21 citations), Modeling and Simulation (11 citations), Genetics (23 citations), Endocrinology, Diabetes and Metabolism (35 citations) and Clinical Biochemistry (13 citations). İbrahim Aslan has collaborated with scholars based in Türkiye, United States and Mexico. Frequent co-authors include Mutay Aslan, Filiz Özcan, Ertan Küçüksayan, Gültekin Yücel, David W. Garber, G.M. Anantharamaiah, Suzanne Lenhart, Shaila P. Handattu, Manjula Chaddha and Geeta Datta. Their work appears in journals such as Lipids in Health and Disease, Prostaglandins & Other Lipid Mediators, Hormone and Metabolic Research, Biological Trace Element Research and Infectious Disease Modelling.

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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