Brian Acacio

1.0k total citations
9 papers, 340 citations indexed

About

Brian Acacio is a scholar working on Public Health, Environmental and Occupational Health, Immunology and Reproductive Medicine. According to data from OpenAlex, Brian Acacio has authored 9 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 5 papers in Immunology and 3 papers in Reproductive Medicine. Recurrent topics in Brian Acacio's work include Reproductive System and Pregnancy (5 papers), Reproductive Biology and Fertility (3 papers) and Ectopic Pregnancy Diagnosis and Management (2 papers). Brian Acacio is often cited by papers focused on Reproductive System and Pregnancy (5 papers), Reproductive Biology and Fertility (3 papers) and Ectopic Pregnancy Diagnosis and Management (2 papers). Brian Acacio collaborates with scholars based in Poland, United States and France. Brian Acacio's co-authors include Carolyn B. Coulam, Roumen G. Roussev, Joel Batzofin, Levent Keskintepe, Geoffrey Sher, Robert Milewski, Michael Ginsburg, G. Sher, Anna Justyna Milewska and Sivakumar Ramu and has published in prestigious journals such as Human Reproduction, Fertility and Sterility and American Journal of Reproductive Immunology.

In The Last Decade

Brian Acacio

9 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Acacio Poland 7 260 218 184 76 42 9 340
Magdy Michel United Kingdom 4 196 0.8× 244 1.1× 240 1.3× 105 1.4× 65 1.5× 5 379
Ayano Funamizu Japan 10 377 1.4× 155 0.7× 200 1.1× 222 2.9× 71 1.7× 16 438
C.O. Perfetto United States 4 202 0.8× 136 0.6× 152 0.8× 102 1.3× 81 1.9× 8 282
Kosrow Nowroozi United States 9 174 0.7× 226 1.0× 279 1.5× 73 1.0× 100 2.4× 13 367
M. Matteo Italy 7 349 1.3× 118 0.5× 301 1.6× 244 3.2× 23 0.5× 13 471
Rossana Cicinelli Italy 8 194 0.7× 77 0.4× 187 1.0× 134 1.8× 19 0.5× 14 257
Najat Mariee United Kingdom 11 408 1.6× 198 0.9× 329 1.8× 146 1.9× 14 0.3× 12 432
J. Elliot United Kingdom 2 192 0.7× 104 0.5× 57 0.3× 76 1.0× 18 0.4× 2 212
Yoshihiro Tada Japan 8 349 1.3× 118 0.5× 267 1.5× 151 2.0× 6 0.1× 13 394
B.D. Ray United Kingdom 9 98 0.4× 154 0.7× 330 1.8× 140 1.8× 67 1.6× 12 373

Countries citing papers authored by Brian Acacio

Since Specialization
Citations

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

Fields of papers citing papers by Brian Acacio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Acacio

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Acacio. A scholar is included among the top collaborators of Brian Acacio 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 Brian Acacio. Brian Acacio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Milewska, Anna Justyna, et al.. (2017). The Application of Multinomial Logistic Regression Models for the Assessment of Parameters of Oocytes and Embryos Quality in Predicting Pregnancy and Miscarriage. Studies in Logic Grammar and Rhetoric. 51(1). 7–18. 7 indexed citations
2.
Milewska, Anna Justyna, et al.. (2016). Prediction of Infertility Treatment Outcomes Using Classification Trees. Studies in Logic Grammar and Rhetoric. 47(1). 7–19. 5 indexed citations
3.
Milewska, Anna Justyna, et al.. (2015). Significance of Discriminant Analysis in Prediction of Pregnancy in IVF Treatment. Studies in Logic Grammar and Rhetoric. 43(1). 7–20. 5 indexed citations
4.
Milewska, Anna Justyna, et al.. (2014). The Use of Principal Component Analysis and Logistic Regression in Prediction of Infertility Treatment Outcome. Studies in Logic Grammar and Rhetoric. 39(1). 7–23. 18 indexed citations
5.
Coulam, Carolyn B. & Brian Acacio. (2012). Does Immunotherapy for Treatment of Reproductive Failure Enhance Live Births?. American Journal of Reproductive Immunology. 67(4). 296–304. 93 indexed citations
6.
Ramu, Sivakumar, et al.. (2011). Human chorionic gonadotropin from day 2 spent embryo culture media and its relationship to embryo development. Fertility and Sterility. 96(3). 615–617. 27 indexed citations
7.
Roussev, Roumen G., et al.. (2008). ORIGINAL ARTICLE: Duration of Intralipid’s Suppressive Effect on NK Cell’s Functional Activity. American Journal of Reproductive Immunology. 60(3). 258–263. 73 indexed citations
8.
Sher, G., et al.. (2005). Influence of early ICSI-derived embryo sHLA-G expression on pregnancy and implantation rates: a prospective study. Human Reproduction. 20(5). 1359–1363. 42 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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