Matej Gregorič

516 citations
24 papers · 377 · h-index 12

Impact in

Papers in

Matej Gregorič

24 papers receiving 367 citations

Peers

Matej Gregorič
Comparison fields: 5 of 62
  • Public Health, Environmental and Occupational Health 191
  • Nutrition and Dietetics 76
  • Physiology 94
  • Pathology and Forensic Medicine 45
  • Rheumatology 36
Replace Witold Klemarczyk with:
Witold Klemarczyk Poland
DC Greenwood United Kingdom
Anna Szczecińska Poland
Birna Þórisdóttir Iceland
Małgorzata Strucińska Poland
Miguel Alsina Casanova Spain
Taryn J. Smith United Kingdom
Genevieve James‐Martin Australia
Yujie Xu China
E Chabros Poland
Matej Gregorič relative to Witold Klemarczyk Poland Witold Klemarczyk's profile →
Citations per field
00.5×10×
Witold Klemarczyk · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200836
2 202036
3 202135
4 202131
5 202129
6 202227
7 202226
8 202222
9 201520
10 202020
11 201920
12 202213
13 202111
14 202111
15 20199
16 20246
17
Neenakosti v zdravju in z zdravjem povezanih vedenjih slovenskih mladostnikov
20155
18 20145
19 20124
20 20194

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 24 papers that have together received 377 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (15 papers), Obesity, Physical Activity, Diet (8 papers), Consumer Attitudes and Food Labeling (5 papers), Vitamin D Research Studies (3 papers), Nutrition and Health in Aging (3 papers), Diet and metabolism studies (3 papers), Folate and B Vitamins Research (2 papers) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (191 citations), Nutrition and Dietetics (76 citations), Physiology (94 citations), Pathology and Forensic Medicine (45 citations) and Rheumatology (36 citations). Matej Gregorič has collaborated with scholars based in Slovenia, United Kingdom and Belgium. Frequent co-authors include Urška Blaznik, Igor Pravst, Hristo Hristov, Barbara Koroušić Seljak, Katja Žmitek, Maša Hribar, Anita Kušar, Katja Zaletel, Mojca Gabrijelčič Blenkuš and Joško Osredkar. Their work appears in journals such as Nutrients, British Journal Of Nutrition, Annals of Nutrition and Metabolism, Public Health Nutrition and European Journal of Clinical 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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