Mario Ćorić

407 citations
25 papers · 272 indexed · h-index 10

Mario Ćorić

25 papers receiving 266 citations

Peers

Mario Ćorić
Comparison fields: 5 of 50
  • Reproductive Medicine 180
  • Obstetrics and Gynecology 122
  • Urology 20
  • Applied Microbiology and Biotechnology 6
  • Public Health, Environmental and Occupational Health 73
Replace А. В. Михайлов with:
А. В. Михайлов Russia
Antonio Maiorana Italy
Cihan Comba Türkiye
Francisco Machado‐Linde Spain
Pelin Öçal Türkiye
Ermelinda Monti Italy
Ruşen Aytaç Türkiye
Lori Cory United States
I. Bekavac Croatia
Emre Pabuçcu Türkiye
Mario Ćorić relative to А. В. Михайлов Russia А. В. Михайлов's profile →
Citations per field
00.5×5.3×
А. В. Михайлов · 1×
Citations per year

Countries citing papers authored by Mario Ćorić

Since Specialization
Citations

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

Fields of papers citing papers by Mario Ćorić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20241
3 20236
4 20233
5 202212
6 202222
7 202216
8 20225
9 20214
10
Endometriosis, Pain and Mental Health.
202140
11 20211
12 20216
13 202012
14 20209
15 20202
16 20182
17
Genetic polymorphisms of INS, INSR and IRS-1 genes are not associated with polycystic ovary syndrome in Croatian women.
201322
18 20113
19 20105
20 201047

About Mario Ćorić

Mario Ćorić is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Urology, Clinical Biochemistry and Rheumatology, having authored 25 papers that have together received 272 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (10 papers), Uterine Myomas and Treatments (6 papers), Pelvic floor disorders treatments (4 papers), Ovarian cancer diagnosis and treatment (4 papers), Urinary Bladder and Prostate Research (4 papers), Anorectal Disease Treatments and Outcomes (3 papers), Endometrial and Cervical Cancer Treatments (3 papers) and Pregnancy-related medical research (2 papers). The work is most often cited by research in Reproductive Medicine (180 citations), Obstetrics and Gynecology (122 citations), Urology (20 citations), Applied Microbiology and Biotechnology (6 citations) and Public Health, Environmental and Occupational Health (73 citations). Mario Ćorić has collaborated with scholars based in Croatia, Italy and United States. Frequent co-authors include Mislav Mikuš, Goran Vujić, Antonio Simone Laganà, Marina Šprem Goldštajn, Sarah Bjedov, Filip Mustač, Dinka Pavičić Baldani, Lana Škrgatić, Vito Chiàntera and Ksenija Geršak. Their work appears in journals such as Archives of Gynecology and Obstetrics, Infectious Diseases, International Journal of Molecular Sciences, Pharmaceuticals and Pathogens.

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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