Nebojša Lalić
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 10%
- Surgery top 5%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Andrea NataliEle FerranniniGeltrude MingroneP. Cavallo‐PerinP. M. BellKatarina LalićAleksandra JotićRafael Simó
- Topics
- Diabetes Management and Research (41 papers)Diabetes Treatment and Management (34 papers)Diabetes and associated disorders (27 papers)
- Journals
- Journal of Clinical InvestigationSHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
In The Last Decade
Nebojša Lalić
131 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Endocrinology, Diabetes and Metabolism 2.3k
- Molecular Biology 994
- Surgery 980
- Physiology 690
- Cardiology and Cardiovascular Medicine 492
Countries citing papers authored by Nebojša Lalić
This map shows the geographic impact of Nebojša Lalić'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 Nebojša Lalić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nebojša Lalić more than expected).
Fields of papers citing papers by Nebojša Lalić
This network shows the impact of papers produced by Nebojša Lalić. 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 Nebojša Lalić. The network helps show where Nebojša Lalić may publish in the future.
Co-authorship network of co-authors of Nebojša Lalić
This figure shows the co-authorship network connecting the top 25 collaborators of Nebojša Lalić. A scholar is included among the top collaborators of Nebojša Lalić 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 Nebojša Lalić. Nebojša Lalić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 23 | |
| 12 | 57 | |
| 13 | Risk factors clustering within the metabolic syndrome: a pattern or by chance? | 6 |
| 14 | 10 | |
| 15 | 2 | |
| 16 | 7 | |
| 17 | 60 | |
| 18 | 7 | |
| 19 | 2 | |
| 20 | Low and high density lipoprotein--cholesterol and coronary atherothrombosis. | 3 |
About Nebojša Lalić
Nebojša Lalić is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 137 papers that have together received 4.0k indexed citations. Recurring topics across this work include Diabetes Management and Research (41 papers), Diabetes Treatment and Management (34 papers) and Diabetes and associated disorders (27 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Endocrine and Autonomic Systems (187 citations) and Physiology (690 citations). Nebojša Lalić has collaborated with scholars based in Serbia, Italy and Czechia. Frequent co-authors include Andrea Natali, Ele Ferrannini, Geltrude Mingrone, P. Cavallo‐Perin, P. M. Bell, Katarina Lalić, Aleksandra Jotić, Rafael Simó, Slobodan Antić and Allan Vaag. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & 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.