Ines Mrakovčić-Šutić

2.1k citations
32 papers · 318 indexed · h-index 10

Ines Mrakovčić-Šutić

30 papers receiving 312 citations

Peers

Ines Mrakovčić-Šutić
Comparison fields: 5 of 75
  • Nutrition and Dietetics 62
  • Neurology 22
  • Epidemiology 89
  • Physiology 65
  • Neurology 35
Replace Germán Gamarra with:
Germán Gamarra Colombia
Е. N. Dudinskaya Russia
Maria Paola Canale Italy
Amina Valjevac Bosnia and Herzegovina
Eric D. Ciappio United States
I Penttilä Finland
Xianghai Zhao China
Hwayoung Lee South Korea
Dan Rader United States
Ines Mrakovčić-Šutić relative to Germán Gamarra Colombia Germán Gamarra's profile →
Citations per field
00.5×3.9×
Germán Gamarra · 1×
Citations per year

Countries citing papers authored by Ines Mrakovčić-Šutić

Since Specialization
Citations

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

Fields of papers citing papers by Ines Mrakovčić-Šutić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ines Mrakovčić-Šutić. 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 Ines Mrakovčić-Šutić. The network helps show where Ines Mrakovčić-Šutić may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202028
3 20204
4
Cross talk between NKT and regulatory T cells (Tregs) in prostatic tissue of patients with benign prostatic hyperplasia and prostate cancer
20147
5 20137
6 20119
7 20115
8
Cross-talk between NKT and regulatory T cells (Tregs) in modulation of immune response in patients with colorectal cancer following different pain management techniques.
20117
9 201013
10 201012
11 20100
12 201048
13
Immune response in patients with cancer pain
20091
14 20092
15 20068
16 20058
17 20035
18 20024
19
On the role of natural killer cell in liver regeneration
19982
20 19905

About Ines Mrakovčić-Šutić

Ines Mrakovčić-Šutić is a scholar working on Immunology, Health, Toxicology and Mutagenesis and Nutrition and Dietetics, having authored 32 papers that have together received 318 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Immune Response and Inflammation (5 papers), Trace Elements in Health (4 papers), Diet and metabolism studies (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Nutritional Studies and Diet (3 papers), Reproductive System and Pregnancy (3 papers) and Sepsis Diagnosis and Treatment (3 papers). The work is most often cited by research in Nutrition and Dietetics (62 citations), Neurology (22 citations) and Epidemiology (89 citations). Ines Mrakovčić-Šutić has collaborated with scholars based in Croatia and Bosnia and Herzegovina. Frequent co-authors include Gordana Kenđel Jovanović, Sanja Klobučar Majanović, Sandra Pavičić Žeželj, Vlatka Sotošek Tokmadžić, Dario Rahelić, Alan Šustić, Biserka Radošević-Stašić, Pero Lučin, Gordana Laškarin and Željko Župan. Their work appears in journals such as Nutrients, Injury and Journal of Clinical Medicine.

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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