Iva Arato

1.1k citations
43 papers · 812 · h-index 17

Impact in

Papers in

    • Sperm and Testicular Function 20
    • Pancreatic function and diabetes 5
    • Tissue Engineering and Regenerative Medicine 5
    • Xenotransplantation and immune response 5

Iva Arato

42 papers receiving 809 citations

Peers

Iva Arato
Comparison fields: 5 of 93
  • Reproductive Medicine 229
  • Genetics 170
  • Immunology 162
  • Health, Toxicology and Mutagenesis 89
  • Surgery 202
Replace Seyed Mohammad Ali Shariatzadeh with:
Seyed Mohammad Ali Shariatzadeh Iran
Catia Bellucci Italy
Amal S. El‐Shal Egypt
Silvia Sancilio Italy
Lianju Shen China
Kiyoshi Kato Japan
Parul Sharma India
Yu‐Hui Tsai Taiwan
Ali Abedelahi Iran
Yael Leichtmann‐Bardoogo Israel
Iva Arato relative to Seyed Mohammad Ali Shariatzadeh Iran Seyed Mohammad Ali Shariatzadeh's profile →
Citations per field
00.5×
Seyed Mohammad Ali Shariatzadeh · 1×
Citations per year

Countries citing papers authored by Iva Arato

Since Specialization
Citations

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

Fields of papers citing papers by Iva Arato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015212
2 201945
3 201836
4 201732
5 202227
6 201826
7 201224
8 201823
9 201422
10 201522
11 201521
12 201521
13 202220
14
Toxicity of cadmium on Sertoli cell functional competence: an in vitro study.
201320
15 201918
16 201017
17 201617
18 201916
19 201616
20 201216

About Iva Arato

Iva Arato is a scholar working on Reproductive Medicine, Surgery, Molecular Biology, Public Health, Environmental and Occupational Health and Health, Toxicology and Mutagenesis, having authored 43 papers that have together received 812 indexed citations. Recurring topics across this work include Sperm and Testicular Function (20 papers), Reproductive Biology and Fertility (13 papers), Heavy Metal Exposure and Toxicity (7 papers), Pancreatic function and diabetes (5 papers), Tissue Engineering and Regenerative Medicine (5 papers), Xenotransplantation and immune response (5 papers), RNA Interference and Gene Delivery (5 papers) and Reproductive System and Pregnancy (4 papers). The work is most often cited by research in Reproductive Medicine (229 citations), Genetics (170 citations), Immunology (162 citations), Health, Toxicology and Mutagenesis (89 citations) and Surgery (202 citations). Iva Arato has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Giovanni Luca, Riccardo Calafiore, Francesca Mancuso, Mario Calvitti, Tiziano Baroni, Catia Bellucci, Cinzia Lilli, Maria Bodo, Emanuela Sala and Silvio Danese. Their work appears in journals such as Frontiers in Endocrinology, Journal of Clinical Medicine, Xenotransplantation, International Journal of Molecular Sciences and Toxicology in Vitro.

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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