Milena Banjevic

3.1k total citations · 1 hit paper
20 papers, 2.1k citations indexed

About

Milena Banjevic is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Infectious Diseases. According to data from OpenAlex, Milena Banjevic has authored 20 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pediatrics, Perinatology and Child Health, 11 papers in Genetics and 5 papers in Infectious Diseases. Recurrent topics in Milena Banjevic's work include Prenatal Screening and Diagnostics (17 papers), Genomic variations and chromosomal abnormalities (9 papers) and Genetic Syndromes and Imprinting (6 papers). Milena Banjevic is often cited by papers focused on Prenatal Screening and Diagnostics (17 papers), Genomic variations and chromosomal abnormalities (9 papers) and Genetic Syndromes and Imprinting (6 papers). Milena Banjevic collaborates with scholars based in United States, United Kingdom and Kenya. Milena Banjevic's co-authors include Matthew Rabinowitz, Allison Ryan, Zachary Demko, Matthew D. Hill, Styrmir Sigurjonsson, Bernhard Zimmermann, Charles T. Snowdon, Wendy Saltzman, Sally P. Mendoza and E.B. Keverne and has published in prestigious journals such as Science, Nature Medicine and Bioinformatics.

In The Last Decade

Milena Banjevic

20 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Are subordinates always stressed? a comparative analysis of rank differences in cortisol levels among primates

2003 506 citations David H. Abbott, E.B. Keverne et al. Hormones and Behavior profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Milena Banjevic United States	14	1.4k	653	403	371	322	20	2.1k
Susana Vaz Nery Australia	33	636 0.4×	402 0.6×	364 0.9×	1.7k 4.6×	51 0.2×	107	4.9k
Peter Sarkies United Kingdom	31	396 0.3×	601 0.9×	70 0.2×	2.9k 7.8×	120 0.4×	65	3.9k
L. George United Kingdom	14	294 0.2×	89 0.1×	128 0.3×	208 0.6×	286 0.9×	21	1.0k
Patrick Onyango Kenya	21	340 0.2×	992 1.5×	60 0.1×	3.2k 8.6×	333 1.0×	60	4.5k
Connie J. Mulligan United States	27	415 0.3×	944 1.4×	46 0.1×	591 1.6×	131 0.4×	98	2.5k
Richard G. Rawlins United States	26	233 0.2×	235 0.4×	28 0.1×	258 0.7×	575 1.8×	74	2.0k
Sarah Williams‐Blangero United States	22	160 0.1×	469 0.7×	64 0.2×	204 0.5×	185 0.6×	67	1.7k
Alfredo Daniel Vitullo Argentina	22	81 0.1×	438 0.7×	69 0.2×	486 1.3×	110 0.3×	85	1.6k
Anna J. Jasinska United States	25	66 0.0×	551 0.8×	185 0.5×	1.1k 3.1×	125 0.4×	61	2.0k
Anna I. Bakardjiev United States	23	222 0.2×	322 0.5×	176 0.4×	598 1.6×	35 0.1×	43	2.4k

Countries citing papers authored by Milena Banjevic

Since Specialization

Citations

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

Fields of papers citing papers by Milena Banjevic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milena Banjevic

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

All Works

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20 of 20 papers shown

Kumar, Akash, Milena Banjevic, Pauline C. Ng, et al.. (2022). Whole-genome risk prediction of common diseases in human preimplantation embryos. Nature Medicine. 28(3). 513–516. 32 indexed citations

Ryan, Allison, Nathan Hunkapiller, Milena Banjevic, et al.. (2016). Validation of an Enhanced Version of a Single-Nucleotide Polymorphism-Based Noninvasive Prenatal Test for Detection of Fetal Aneuploidies. Fetal Diagnosis and Therapy. 40(3). 219–223. 41 indexed citations

McCoy, Rajiv C., Zachary Demko, Allison Ryan, et al.. (2015). Evidence of Selection against Complex Mitotic-Origin Aneuploidy during Preimplantation Development. PLoS Genetics. 11(10). e1005601–e1005601. 153 indexed citations

McCoy, Rajiv C., Zachary Demko, Allison Ryan, et al.. (2015). Common Variants Spanning PLK4 Are Associated With Mitotic-Origin Aneuploidy in Human Embryos. Obstetrical & Gynecological Survey. 70(7). 451–452. 8 indexed citations

Kumar, Akash, Allison Ryan, Jacob O. Kitzman, et al.. (2015). Whole genome prediction for preimplantation genetic diagnosis. Genome Medicine. 7(1). 35–35. 25 indexed citations

McCoy, Rajiv C., Zachary Demko, Allison Ryan, et al.. (2015). Common variants spanning PLK4 are associated with mitotic-origin aneuploidy in human embryos. Science. 348(6231). 235–238. 83 indexed citations

Wapner, Ronald J., Joshua Babiarz, Brynn Levy, et al.. (2015). Expanding the Scope of Noninvasive Prenatal Testing. Obstetrical & Gynecological Survey. 70(8). 481–482. 2 indexed citations

Dar, P., Kirsten J. Curnow, Susan J. Gross, et al.. (2014). Clinical experience and follow-up with large scale single-nucleotide polymorphism–based noninvasive prenatal aneuploidy testing. American Journal of Obstetrics and Gynecology. 211(5). 527.e1–527.e17. 183 indexed citations

Pergament, Eugene, Howard Cuckle, Bernhard Zimmermann, et al.. (2014). Single-Nucleotide Polymorphism–Based Noninvasive Prenatal Screening in a High-Risk and Low-Risk Cohort. Obstetrics and Gynecology. 124(2). 210–218. 205 indexed citations

10.

Wapner, Ronald J., Joshua Babiarz, Brynn Levy, et al.. (2014). Expanding the scope of noninvasive prenatal testing: detection of fetal microdeletion syndromes. American Journal of Obstetrics and Gynecology. 212(3). 332.e1–332.e9. 224 indexed citations

11.

Samango‐Sprouse, Carole, Milena Banjevic, Allison Ryan, et al.. (2013). SNP‐based non‐invasive prenatal testing detects sex chromosome aneuploidies with high accuracy. Prenatal Diagnosis. 33(7). 643–649. 109 indexed citations

12.

Zimmermann, Bernhard, Matthew D. Hill, G. Gemelos, et al.. (2012). Noninvasive prenatal aneuploidy testing of chromosomes 13, 18, 21, X, and Y, using targeted sequencing of polymorphic loci. Prenatal Diagnosis. 32(13). 1233–1241. 235 indexed citations

13.

Rabinowitz, Matthew, Allison Ryan, G. Gemelos, et al.. (2011). Origins and rates of aneuploidy in human blastomeres. Fertility and Sterility. 97(2). 395–401. 105 indexed citations

14.

Johnson, David S., G. Gemelos, Johan Banér, et al.. (2010). Preclinical validation of a microarray method for full molecular karyotyping of blastomeres in a 24-h protocol. Human Reproduction. 25(4). 1066–1075. 178 indexed citations

15.

Rabinowitz, Matthew, Barry Behr, David C. Potter, et al.. (2009). Parental support for single gene PGD and simultaneous 24-chromosome screening reduces risks of allele misdiagnosis and transfer of aneuploid embryos. Fertility and Sterility. 92(3). S202–S202. 2 indexed citations

16.

Johnson, David S., Matthew Rabinowitz, Cengiz Cinnioğlu, et al.. (2008). Novel Technology for Simultaneous Reliable Measurement of Multiple Alleles And Copy Number Across 24 Chromosomes in Single Human Blastomeres. Fertility and Sterility. 89(4). S5–S5. 2 indexed citations

17.

Rabinowitz, Matthew, David S. Johnson, Julia Salzman, et al.. (2008). Reliable concurrent calling of multiple genetic alleles and 24-chromosome ploidy without embryo freezing using parental support™ technology (PS). Fertility and Sterility. 90. S23–S23. 5 indexed citations

18.

Rabinowitz, Matthew, et al.. (2005). Accurate prediction of HIV-1 drug response from the reverse transcriptase and protease amino acid sequences using sparse models created by convex optimization. Bioinformatics. 22(5). 541–549. 20 indexed citations

19.

Banjevic, Milena, et al.. (2005). Use of the l1 norm for selection of sparse parameter sets that accurately predict drug response phenotype from viral genetic sequences.. PubMed. 505–9. 2 indexed citations

20.

Abbott, David H., E.B. Keverne, Fred B. Bercovitch, et al.. (2003). Are subordinates always stressed? a comparative analysis of rank differences in cortisol levels among primates. Hormones and Behavior. 43(1). 67–82. 506 indexed citations breakdown →

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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