Emir Muzurović

998 citations
29 papers · 540 indexed · 1 hit paper · h-index 12
Topics
Diabetes Treatment and Management (10 papers)Metabolism, Diabetes, and Cancer (7 papers)Liver Disease Diagnosis and Treatment (6 papers)

In The Last Decade

Emir Muzurović

25 papers receiving 533 citations

Hit Papers

Non-alcoholic fatty liver disease, insulin resistance, me...2021202620222024202150100150

Peers

Emir Muzurović
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 270
  • Epidemiology 232
  • Surgery 131
  • Molecular Biology 126
  • Physiology 106
Replace Song Lu with:
Song Lu China
Maria Elena Lunati Italy
Yoshitaka Ando Japan
Asuka Hino Japan
Eugène H. J. M. Jansen Netherlands
Dalong Zhu China
Merja Santaniemi Finland
Kenji Kohara Japan
Zhijuan Ge China
A. M. Dall’Omo Italy
Emir Muzurović relative to Song Lu China Song Lu's profile →
Citations per field
00.5×3.3×
Song Lu · 1×
Citations per year

Countries citing papers authored by Emir Muzurović

Since Specialization
Citations

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

Fields of papers citing papers by Emir Muzurović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emir Muzurović

This figure shows the co-authorship network connecting the top 25 collaborators of Emir Muzurović. A scholar is included among the top collaborators of Emir Muzurović based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emir Muzurović. Emir Muzurović is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 7
3 0
4 0
5 36
6 12
7 10
8 12
9 24
10 6
11 3
12 2
13 19
14
Non-alcoholic fatty liver disease, insulin resistance, metabolic syndrome and their association with vascular riskbreakdown →
198
15 2
16 9
17 10
18 12
19 55
20 0

About Emir Muzurović

Emir Muzurović is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology, having authored 29 papers that have together received 540 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (10 papers), Metabolism, Diabetes, and Cancer (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (270 citations), Epidemiology (232 citations) and Hepatology (42 citations). Emir Muzurović has collaborated with scholars based in Montenegro, Slovenia and United Kingdom. Frequent co-authors include Dimitri P. Mikhailidis, Christos S. Mantzoros, Manfredi Rizzo, Andrej Janež, Mirsala Solak, Ivana Kraljević, Anca Pantea Stoian, Marlene Chakhtoura, Michail Kokkorakis and Michael A. Hill. Their work appears in journals such as Pharmacological Reviews, International Journal of Molecular Sciences and Metabolism.

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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