Tamer Bego

35 papers receiving 592 citations

Peers

Tamer Bego
Comparison fields: 5 of 113
  • Medical Laboratory Technology 16
  • Endocrinology, Diabetes and Metabolism 82
  • Pharmacology 43
  • Nephrology 21
  • Biological Psychiatry 7
Replace Maja Malenica with:
Maja Malenica Bosnia and Herzegovina
Adlija Čaušević Bosnia and Herzegovina
Ján Fedačko Slovakia
Besim Prnjavorac Bosnia and Herzegovina
Tanja Dujić Bosnia and Herzegovina
Zhican Wang United States
Hassan Mehrad‐Majd Iran
Derya Koçer Türkiye
Heidi Koivisto Finland
Murat Bolayırlı Türkiye
Tamer Bego relative to Maja Malenica Bosnia and Herzegovina Maja Malenica's profile →
Citations per field
00.5×1.5×
Maja Malenica · 1×
Citations per year

Countries citing papers authored by Tamer Bego

Since Specialization
Citations

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

Fields of papers citing papers by Tamer Bego

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017144
2 2015104
3 201439
4 201832
5 201030
6 202225
7
Association of PPARG and LPIN1 gene polymorphisms with metabolic syndrome and type 2 diabetes.
201121
8 201720
9 201719
10 201018
11 202016
12 201216
13
Analysis of CYP3A4*1B and CYP3A5*3 polymorphisms in population of Bosnia and Herzegovina.
201113
14 202212
15 201111
16 201910
17 202110
18 201310
19 20218
20 20148

About Tamer Bego

Tamer Bego is a scholar working on Endocrinology, Diabetes and Metabolism, Infectious Diseases, Epidemiology, Pulmonary and Respiratory Medicine and Genetics, having authored 38 papers that have together received 607 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Forensic and Genetic Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Medical Laboratory Technology (16 citations), Endocrinology, Diabetes and Metabolism (82 citations), Pharmacology (43 citations), Nephrology (21 citations) and Biological Psychiatry (7 citations). Tamer Bego has collaborated with scholars based in Bosnia and Herzegovina, Slovenia and Croatia. Frequent co-authors include Tanja Dujić, Maja Malenica, Sabina Semiz, Besim Prnjavorac, Adlija Čaušević, Ewan R. Pearson, Janja Marc, Barbara Ostanek, Barbara Mlinar and Almir Badnjević. Their work appears in journals such as Journal of Personalized Medicine, Journal of Trace Elements in Medicine and Biology, Archives of Medical Research, Diabetic Medicine and Drug Metabolism and Personalized Therapy.

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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