Aleksandra Jotić

54 papers receiving 939 citations

Peers

Aleksandra Jotić
Comparison fields: 5 of 94
  • Obstetrics and Gynecology 160
  • Endocrine and Autonomic Systems 89
  • Endocrinology, Diabetes and Metabolism 192
  • Physiology 218
  • Cardiology and Cardiovascular Medicine 143
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Gönül Şimşek Türkiye
Maciej W. Socha Poland
Teresa Vilariño‐García Spain
Walkyria de Paula Pimenta Brazil
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Mariane Bertagnolli Canada
Serpil Erdoğan Türkiye
Donatella Gniuli Italy
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Citations per year

Countries citing papers authored by Aleksandra Jotić

Since Specialization
Citations

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

Fields of papers citing papers by Aleksandra Jotić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013147
2 2008116
3 201687
4 201478
5 202166
6 201462
7 200655
8 201828
9 201927
10 201421
11 200920
12 201217
13 201617
14 202115
15 201613
16 202013
17 201513
18 201512
19 202011
20 201611

About Aleksandra Jotić

Aleksandra Jotić is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 56 papers that have together received 956 indexed citations. Recurring topics across this work include Diabetes Management and Research (13 papers), Diabetes and associated disorders (13 papers), Pancreatic function and diabetes (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Gestational Diabetes Research and Management (7 papers), Cardiovascular Function and Risk Factors (7 papers), Cardiac Imaging and Diagnostics (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Obstetrics and Gynecology (160 citations), Endocrine and Autonomic Systems (89 citations), Endocrinology, Diabetes and Metabolism (192 citations), Physiology (218 citations) and Cardiology and Cardiovascular Medicine (143 citations). Aleksandra Jotić has collaborated with scholars based in Serbia, Czechia and Poland. Frequent co-authors include Nebojša Lalić, Katarina Lalić, Ljiljana Lukić, Tanja Miličić, Marija Maćešić, N. Rajković, Jelena P. Seferović, Vladimir Kostić, Elka Stefanova and Nataša Dragašević. Their work appears in journals such as Diabetes Therapy, Diabetes Research and Clinical Practice, Diabetes & Metabolism, International Journal of Environmental Research and Public Health and Scientific Reports.

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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