Vida Petrovic

846 total citations
19 papers, 600 citations indexed

About

Vida Petrovic is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Vida Petrovic has authored 19 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 9 papers in Molecular Biology and 6 papers in Plant Science. Recurrent topics in Vida Petrovic's work include Genomic variations and chromosomal abnormalities (9 papers), Chromosomal and Genetic Variations (6 papers) and Sarcoma Diagnosis and Treatment (3 papers). Vida Petrovic is often cited by papers focused on Genomic variations and chromosomal abnormalities (9 papers), Chromosomal and Genetic Variations (6 papers) and Sarcoma Diagnosis and Treatment (3 papers). Vida Petrovic collaborates with scholars based in Australia, United States and Finland. Vida Petrovic's co-authors include Lucille Voullaire, HR Slater, K. H. Andy Choo, Païvi Peltomäki, Pia Salo, David C. Page, Albert de la Chapelle, Helena Kääriäinen, C.W. Chow and Paul Kalitsis and has published in prestigious journals such as Journal of Medical Genetics, Human Genetics and Genes Chromosomes and Cancer.

In The Last Decade

Vida Petrovic

19 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vida Petrovic Australia 10 390 301 256 68 64 19 600
Ju Yan Canada 11 282 0.7× 103 0.3× 125 0.5× 22 0.3× 35 0.5× 23 509
Anne W. Higgins United States 11 529 1.4× 360 1.2× 409 1.6× 55 0.8× 143 2.2× 17 885
Anita S. Kulharya United States 14 509 1.3× 452 1.5× 106 0.4× 14 0.2× 147 2.3× 31 843
Jörg Seidel Germany 8 505 1.3× 284 0.9× 67 0.3× 31 0.5× 52 0.8× 18 767
K. L. Ying United States 12 267 0.7× 252 0.8× 81 0.3× 26 0.4× 75 1.2× 18 497
Vincent Gâtinois France 11 269 0.7× 279 0.9× 94 0.4× 35 0.5× 206 3.2× 28 600
Atsuko Fujimoto United States 19 310 0.8× 489 1.6× 153 0.6× 49 0.7× 267 4.2× 45 868
Judith Dagan Israel 12 231 0.6× 223 0.7× 88 0.3× 19 0.3× 96 1.5× 27 457
M.A. Hultén United Kingdom 15 447 1.1× 440 1.5× 263 1.0× 40 0.6× 324 5.1× 20 930
Guus Hamers Netherlands 12 193 0.5× 258 0.9× 92 0.4× 15 0.2× 89 1.4× 19 393

Countries citing papers authored by Vida Petrovic

Since Specialization
Citations

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

Fields of papers citing papers by Vida Petrovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vida Petrovic

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

All Works

19 of 19 papers shown
1.
Brown, Lauren M., Andrew Lonsdale, N. Davidson, et al.. (2020). The application of RNA sequencing for the diagnosis and genomic classification of pediatric acute lymphoblastic leukemia. Blood Advances. 4(5). 930–942. 53 indexed citations
2.
Zhang, Tao, et al.. (2019). Loss of TOP3B leads to increased R-loop formation and genome instability. Open Biology. 9(12). 190222–190222. 49 indexed citations
3.
Brown, Lauren M., Ray C. Bartolo, N. Davidson, et al.. (2019). Targeted therapy and disease monitoring in CNTRL‐FGFR1‐driven leukaemia. Pediatric Blood & Cancer. 66(10). e27897–e27897. 4 indexed citations
4.
5.
Wu, Xiangru, Vida Petrovic, Ian Torode, & C.W. Chow. (2009). Low grade fibromyxoid sarcoma: problems in the diagnosis and management of a malignant tumour with bland histological appearance. Pathology. 41(2). 155–160. 23 indexed citations
6.
Venter, Deon J., Susan J. Ramus, Fleur Hammet, et al.. (2005). Complex CGH alterations on chromosome arm 8p at candidate tumor suppressor gene loci in breast cancer cell lines. Cancer Genetics and Cytogenetics. 160(2). 134–140. 31 indexed citations
7.
Delatycki, Martin B., Lucille Voullaire, David Francis, et al.. (1999). Directly inherited partial trisomy of chromosome 6p identified in a father and daughter by chromosome microdissection. Journal of Medical Genetics. 36(4). 335–338. 15 indexed citations
8.
Loesch, Danuta Z., et al.. (1997). “Reduction” of CGG trinucleotide expansion from mother to offspring in seven fragile‐X families. Clinical Genetics. 51(1). 1–6. 6 indexed citations
9.
Slater, Howard R., et al.. (1997). PRENATAL DIAGNOSIS OF PRADER–WILLI SYNDROME USING PW71 METHYLATION ANALYSIS—UNIPARENTAL DISOMY AND THE SIGNIFICANCE OF RESIDUAL TRISOMY 15. Prenatal Diagnosis. 17(2). 109–113. 2 indexed citations
10.
Slater, Howard R., et al.. (1997). PRENATAL DIAGNOSIS OF PRADER–WILLI SYNDROME USING PW71 METHYLATION ANALYSIS—UNIPARENTAL DISOMY AND THE SIGNIFICANCE OF RESIDUAL TRISOMY 15. Prenatal Diagnosis. 17(2). 109–113. 14 indexed citations
11.
Loesch, Danuta Z., Richard Huggins, Vida Petrovic, & HR Slater. (1995). Expansion of the CGG repeat in fragile X in the FMR1 gene depends on the sex of the offspring.. PubMed. 57(6). 1408–13. 24 indexed citations
12.
Slater, Howard R., et al.. (1995). Cytogenetic and DNA analysis of two neuroectodermal tumors without a simple t(11;22). Cancer Genetics and Cytogenetics. 83(1). 12–17. 1 indexed citations
13.
Salo, Pia, Helena Kääriäinen, Vida Petrovic, et al.. (1995). Molecular mapping of the putative gonadoblastoma locus on the Y chromosome. Genes Chromosomes and Cancer. 14(3). 210–214. 88 indexed citations
14.
Voullaire, Lucille, HR Slater, Vida Petrovic, & K. H. Andy Choo. (1993). A functional marker centromere with no detectable alpha-satellite, satellite III, or CENP-B protein: activation of a latent centromere?. PubMed. 52(6). 1153–63. 233 indexed citations
15.
Petrovic, Vida, Steven Nasioulas, C.W. Chow, et al.. (1992). Minute Y chromosome derived marker in a child with gonadoblastoma: cytogenetic and DNA studies.. Journal of Medical Genetics. 29(8). 542–546. 29 indexed citations
16.
Voullaire, Lucille, Vida Petrovic, Leslie J. Sheffield, & Peter B. Campbell. (1991). Two forms of ring 13 in a child with rhabdomyosarcoma. American Journal of Medical Genetics. 39(3). 285–287. 7 indexed citations
17.
Schmidt, Malgorzata, Desirée du Sart, Paul Kalitsis, et al.. (1991). X chromosome inactivation in fibroblasts of mentally retarded female carriers of the fragile site Xq27.3: Application of the probe M27β to evaluate X inactivation status. American Journal of Medical Genetics. 38(2-3). 411–415. 8 indexed citations
18.
Earle, E. D., Miriam G. Wilson, Vida Petrovic, et al.. (1991). The importance of further cytogenetic and molecular investigation of acrocentric variants: justification by presentation of a case [t(8;14)(q24;p11)]. Human Genetics. 87(2). 173–176. 3 indexed citations
19.
Petrovic, Vida. (1988). A new variant of chromosome 3 with unusual staining properties.. Journal of Medical Genetics. 25(11). 781–782. 4 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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