Katarina Lalić

4.7k citations
75 papers · 1.0k indexed · h-index 16

Katarina Lalić

70 papers receiving 986 citations

Peers

Katarina Lalić
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 296
  • Endocrine and Autonomic Systems 96
  • Physiology 258
  • Clinical Biochemistry 50
  • Biochemistry 41
Replace Harvest F. Gu with:
Harvest F. Gu China
Avshalom Leibowitz Israel
Thiago Bruder‐Nascimento United States
Muxun Zhang China
Fabrizio Ceci Italy
Rocío Guzmán‐Ruiz Spain
Yuji Tajiri Japan
Ming-Sheng Zhou China
Caroline Fernandes‐Santos Brazil
Naoki Tamasawa Japan
Katarina Lalić relative to Harvest F. Gu China Harvest F. Gu's profile →
Citations per field
00.5×1.5×2.0×
Harvest F. Gu · 1×
Citations per year

Countries citing papers authored by Katarina Lalić

Since Specialization
Citations

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

Fields of papers citing papers by Katarina Lalić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20241
4 20241
5 20232
6 20211
7 202011
8 201946
9 201913
10 20181
11 20189
12 201810
13 20184
14 201828
15 20171
16
Risk factors clustering within the metabolic syndrome: a pattern or by chance?
20156
17 201510
18 20142
19 20137
20 2008116

About Katarina Lalić

Katarina Lalić is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Endocrine and Autonomic Systems, having authored 75 papers that have together received 1.0k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Diabetes Management and Research (13 papers), Pancreatic function and diabetes (13 papers), Diabetes and associated disorders (11 papers), Diabetes Treatment and Management (10 papers), Metabolism, Diabetes, and Cancer (9 papers), Cardiovascular Function and Risk Factors (8 papers) and Lipoproteins and Cardiovascular Health (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (296 citations), Endocrine and Autonomic Systems (96 citations) and Physiology (258 citations). Katarina Lalić has collaborated with scholars based in Serbia, Czechia and Poland. Frequent co-authors include Nebojša Lalić, Aleksandra Jotić, Ljiljana Lukić, Tanja Miličić, N. Rajković, Marija Maćešić, Ljiljana Popović, Sanja Stanković, Aleksandra Kezić and Jelena P. Seferović. Their work appears in journals such as Diabetes Therapy, Diabetes Research and Clinical Practice, Cardiovascular Diabetology, International Journal of Environmental Research and Public Health and Multiple Sclerosis and Related Disorders.

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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