Daniela Šupe‐Domić

1.0k citations
62 papers · 748 · h-index 17

Impact in

Papers in

Daniela Šupe‐Domić

56 papers receiving 734 citations

Peers

Daniela Šupe‐Domić
Comparison fields: 5 of 100
  • Critical Care and Intensive Care Medicine 71
  • Developmental Neuroscience 29
  • Physiology 134
  • Endocrine and Autonomic Systems 24
  • Cardiology and Cardiovascular Medicine 71
Replace Roland C. E. Francis with:
Roland C. E. Francis Germany
Isao Tsuneyoshi Japan
Lucas T. van Eijk Netherlands
Marguerite T. Littleton‐Kearney United States
Madhava Beeram United States
Alan Hartman United States
Chryssa Pourzitaki Greece
Joshua F. Nitsche United States
Clément Gaudin France
Daniela Šupe‐Domić relative to Roland C. E. Francis Germany Roland C. E. Francis's profile →
Citations per field
00.5×1.5×1.9×
Roland C. E. Francis · 1×
Citations per year

Countries citing papers authored by Daniela Šupe‐Domić

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Šupe‐Domić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Šupe‐Domić. 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 Daniela Šupe‐Domić. The network helps show where Daniela Šupe‐Domić may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017100
2 201454
3 201842
4 202138
5 201930
6 201629
7 201827
8 202027
9 201927
10 201925
11 202025
12 202020
13 201518
14 201816
15 202316
16 202316
17 202316
18 202115
19 202114
20 201813

About Daniela Šupe‐Domić

Daniela Šupe‐Domić is a scholar working on Physiology, Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery and Endocrinology, Diabetes and Metabolism, having authored 62 papers that have together received 748 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (4 papers), Adipose Tissue and Metabolism (4 papers), Diet, Metabolism, and Disease (4 papers), Vitamin D Research Studies (4 papers), S100 Proteins and Annexins (4 papers), Protease and Inhibitor Mechanisms (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers) and Salivary Gland Disorders and Functions (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (71 citations), Developmental Neuroscience (29 citations), Physiology (134 citations), Endocrine and Autonomic Systems (24 citations) and Cardiology and Cardiovascular Medicine (71 citations). Daniela Šupe‐Domić has collaborated with scholars based in Croatia, United States and Italy. Frequent co-authors include Joško Božić, Josip A. Borovac, Zenon Pogorelić, Tina Tičinović Kurir, Sandro Glumac, Nenad Karanović, Goran Kardum, Zoran Đogaš, Tea Galić and Ana Jerončić. Their work appears in journals such as Journal of Clinical Medicine, Biomedicines, Biomolecules, Biochemia Medica and World Journal of Gastroenterology.

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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