Matej Gregorič

489 citations
23 papers · 346 · h-index 11

Impact in

Papers in

Matej Gregorič

23 papers receiving 337 citations

Peers

Matej Gregorič
Comparison fields: 5 of 68
  • Public Health, Environmental and Occupational Health 231
  • Nutrition and Dietetics 98
  • Physiology 111
  • Pathology and Forensic Medicine 46
  • Rheumatology 37
Replace Živa Lavriša with:
Živa Lavriša Slovenia
DC Greenwood United Kingdom
Małgorzata Strucińska Poland
Birna Þórisdóttir Iceland
Chin-Lon Lin Taiwan
Cristina Borràs‐Novell Spain
Evelien de Boer Netherlands
Anna Szczecińska Poland
Jacqueline Chan United States
Áine Hennessy Ireland
Matej Gregorič relative to Živa Lavriša Slovenia Živa Lavriša's profile →
Citations per field
00.5×1.5×1.9×
Živa Lavriša · 1×
Citations per year

Countries citing papers authored by Matej Gregorič

Since Specialization
Citations

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

Fields of papers citing papers by Matej Gregorič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200835
2 202034
3 202133
4 202130
5 202126
6 202223
7 202222
8 202020
9 201920
10 201520
11 202220
12 202210
13 202110
14 20219
15 20198
16
Neenakosti v zdravju in z zdravjem povezanih vedenjih slovenskih mladostnikov
20155
17 20245
18 20145
19 20124
20 20193

About Matej Gregorič

Matej Gregorič is a scholar working on Public Health, Environmental and Occupational Health, Physiology, Nutrition and Dietetics, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 346 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (18 papers), Obesity, Physical Activity, Diet (11 papers), Consumer Attitudes and Food Labeling (7 papers), Vitamin D Research Studies (3 papers), Diet and metabolism studies (3 papers), Nutrition and Health in Aging (3 papers), Folate and B Vitamins Research (2 papers) and Vitamin C and Antioxidants Research (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (231 citations), Nutrition and Dietetics (98 citations), Physiology (111 citations), Pathology and Forensic Medicine (46 citations) and Rheumatology (37 citations). Matej Gregorič has collaborated with scholars based in Slovenia, United Kingdom and Greece. Frequent co-authors include Urška Blaznik, Igor Pravst, Hristo Hristov, Barbara Koroušić Seljak, Katja Žmitek, Maša Hribar, Živa Lavriša, Anita Kušar, Mojca Gabrijelčič Blenkuš and Joško Osredkar. Their work appears in journals such as Nutrients, British Journal Of Nutrition, Annals of Nutrition and Metabolism, European Journal of Clinical Nutrition and Public Health Nutrition.

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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