G. Dani

850 total citations
10 papers, 647 citations indexed

About

G. Dani is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, G. Dani has authored 10 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Reproductive Medicine, 6 papers in Public Health, Environmental and Occupational Health and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in G. Dani's work include Sperm and Testicular Function (6 papers), Reproductive Biology and Fertility (6 papers) and Assisted Reproductive Technology and Twin Pregnancy (4 papers). G. Dani is often cited by papers focused on Sperm and Testicular Function (6 papers), Reproductive Biology and Fertility (6 papers) and Assisted Reproductive Technology and Twin Pregnancy (4 papers). G. Dani collaborates with scholars based in Italy, United States and Lebanon. G. Dani's co-authors include C. Versaci, S. Antinori, Monica Antinori, Emanuele Licata, F Cerusico, Helmy Selman, Daniela D’Angelo, Rocco Rago, Carlo Meneghini and Claudia Fabiani and has published in prestigious journals such as Human Reproduction, Reproductive BioMedicine Online and Minerva Obstetrics and Gynecology.

In The Last Decade

G. Dani

9 papers receiving 585 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Dani Italy 7 566 553 193 131 83 10 647
Monica Antinori Italy 6 502 0.9× 504 0.9× 168 0.9× 118 0.9× 76 0.9× 9 591
Yasuhisa Araki Japan 15 561 1.0× 511 0.9× 245 1.3× 201 1.5× 155 1.9× 46 727
Santiago Brugo Argentina 7 435 0.8× 557 1.0× 84 0.4× 109 0.8× 142 1.7× 15 638
Marco Nadalini Italy 12 610 1.1× 596 1.1× 246 1.3× 124 0.9× 98 1.2× 16 789
F. Nodar Argentina 10 361 0.6× 430 0.8× 117 0.6× 130 1.0× 84 1.0× 36 506
Shoko Ieda United States 5 515 0.9× 365 0.7× 129 0.7× 192 1.5× 40 0.5× 6 548
E. Van Roosendaal Belgium 8 484 0.9× 487 0.9× 188 1.0× 117 0.9× 63 0.8× 13 592
Tim Schimmel United States 10 286 0.5× 236 0.4× 117 0.6× 92 0.7× 46 0.6× 15 387
Klaus Wiemer United States 11 595 1.1× 401 0.7× 297 1.5× 169 1.3× 75 0.9× 17 697
Sharon R. Wiker United States 12 564 1.0× 415 0.8× 300 1.6× 134 1.0× 60 0.7× 16 636

Countries citing papers authored by G. Dani

Since Specialization
Citations

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

Fields of papers citing papers by G. Dani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Dani

This figure shows the co-authorship network connecting the top 25 collaborators of G. Dani. A scholar is included among the top collaborators of G. Dani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Dani. G. Dani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
2.
Rago, Rocco, Alessandro Dal Lago, Emanuele Licata, et al.. (2017). Controlled, prospective, observational study on the efficiency and tolerability of a combination of potential Nrf2-inducing antioxidants and micronutrients as pre-treatment for ICSI in dyspermic patients with previous failure.. PubMed. 21(7). 1645–1652. 8 indexed citations
3.
Antinori, Monica, Emanuele Licata, G. Dani, et al.. (2008). Intracytoplasmic morphologically selected sperm injection: a prospective randomized trial. Reproductive BioMedicine Online. 16(6). 835–841. 173 indexed citations
4.
Antinori, Monica, Emanuele Licata, G. Dani, et al.. (2007). Cryotop vitrification of human oocytes results in high survival rate and healthy deliveries. Reproductive BioMedicine Online. 14(1). 72–79. 188 indexed citations
5.
Antinori, S., G. Dani, C. Versaci, et al.. (1999). P-140. Adding a recombinant regular protein to a culture medium increases the grade IV embryo rate and the blastocyst stage. Human Reproduction. 14(Suppl_3). 211–211. 1 indexed citations
6.
Antinori, S., C. Versaci, G. Dani, Monica Antinori, & Helmy Selman. (1997). Successful fertilization and pregnancy after injection of frozen-thawed round spermatids into human oocytes. Human Reproduction. 12(3). 554–556. 49 indexed citations
7.
Antinori, S., et al.. (1997). Fertilization with human testicular spermatids: four successful pregnancies. Human Reproduction. 12(2). 286–291. 86 indexed citations
8.
Antinori, S., et al.. (1996). Zona thinning with the use of laser: a new approach to assisted hatching in humans. Human Reproduction. 11(3). 590–594. 72 indexed citations
10.
Antinori, S., et al.. (1995). The R.A.P.R.U.I. Center experience: from SUZI, through lasers to ICSI using spermatozoa with broken tails. Human Reproduction. 10(3). 489–491. 5 indexed citations

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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