Nebojša Lalić

10.8k citations
137 papers · 4.0k indexed · 2 hit papers · h-index 29

Nebojša Lalić

131 papers receiving 3.8k citations

Hit Papers

Liraglutide vs insulin glargine and placebo in com...6881997202620062016200400600

Peers

Nebojša Lalić
Comparison fields: 5 of 137
  • Endocrinology, Diabetes and Metabolism 2.3k
  • Endocrine and Autonomic Systems 187
  • Physiology 690
  • Obstetrics and Gynecology 175
  • Surgery 980
Replace Andrej Janež with:
Andrej Janež Slovenia
Vaia Lambadiari Greece
Kristine Færch Denmark
Manouchehr Nakhjavani Iran
Richard M. Watanabe United States
Carlos Lorenzo United States
Cosimo Giannini Italy
Kaj Lahti Finland
Dilip Rajasekhar Maddirela United States
Xuefeng Yu China
Nebojša Lalić relative to Andrej Janež Slovenia Andrej Janež's profile →
Citations per field
00.5×1.5×2.3×
Andrej Janež · 1×
Citations per year

Countries citing papers authored by Nebojša Lalić

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20251
4 20240
5 20241
6 202412
7 20241
8 20239
9 20230
10 20222
11 202123
12 202057
13
Risk factors clustering within the metabolic syndrome: a pattern or by chance?
20156
14 201510
15 20142
16 20147
17 201460
18 20137
19 20102
20
Low and high density lipoprotein--cholesterol and coronary atherothrombosis.
20093

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), Diabetes and associated disorders (27 papers), Pancreatic function and diabetes (27 papers), Metabolism, Diabetes, and Cancer (20 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Cardiovascular Function and Risk Factors (11 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (8 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.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026