Ivan Šoša

34 papers receiving 241 citations

Peers

Ivan Šoša
Comparison fields: 5 of 96
  • Emergency Medicine 54
  • Public Health, Environmental and Occupational Health 72
  • Safety, Risk, Reliability and Quality 19
  • Equine 3
  • Hepatology 13
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C. Deighton United Kingdom
Nursel Türkmen Türkiye
Daniela Sapienza Italy
Suat Can Ulukent Türkiye
Charles Ruehle United States
Sarah B. Lieber United States
Mary O. Aaland United States
Mihovil Biočić Croatia
Engin Deniz Arslan Türkiye
Hiten G. Sheth United Kingdom
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Citations per year

Countries citing papers authored by Ivan Šoša

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Šoša

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201372
2 202121
3 201114
4 201312
5 200912
6 201211
7 201810
8 20198
9 20108
10 20168
11
Age-related and gender-related differences between human vertebral and iliac crest bone--a histomorphometric study on the population of the Mediterranean Coast of Croatia.
20067
12
Expression of bone-related proteins in vascular calcification and its serum correlations with coronary artery calcification score.
20196
13 20115
14 20135
15 20135
16
The methods of committing and alcohol intoxication of suicides in Southwestern Croatia from 1996 to 2005.
20085
17 20104
18 20174
19 20114
20 20234

About Ivan Šoša

Ivan Šoša is a scholar working on Emergency Medicine, Epidemiology, Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 248 indexed citations. Recurring topics across this work include Restraint-Related Deaths (7 papers), Liver Disease and Transplantation (3 papers), Forensic Toxicology and Drug Analysis (3 papers), Suicide and Self-Harm Studies (3 papers), Homicide, Infanticide, and Child Abuse (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Poisoning and overdose treatments (3 papers) and Autopsy Techniques and Outcomes (3 papers). The work is most often cited by research in Emergency Medicine (54 citations), Public Health, Environmental and Occupational Health (72 citations), Safety, Risk, Reliability and Quality (19 citations), Equine (3 citations) and Hepatology (13 citations). Ivan Šoša has collaborated with scholars based in Croatia, United States and Spain. Frequent co-authors include Alan Bosnar, Anja Petaros, Miran Čoklo, Mario Šlaus, Andrea Corda, Manuel Gascón, Olga Cvijanović, Dragica Bobinac, Guillermo Couto and Kirsten Erger. Their work appears in journals such as Forensic Science International, Veterinary Radiology & Ultrasound, International Journal of Molecular Sciences, Toxics and Virus Research.

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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