Cristina Sisu

34.1k total citations
23 papers, 674 citations indexed

About

Cristina Sisu is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Cristina Sisu has authored 23 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Plant Science. Recurrent topics in Cristina Sisu's work include Molecular Biology Techniques and Applications (4 papers), Cancer-related molecular mechanisms research (4 papers) and Genomics and Chromatin Dynamics (4 papers). Cristina Sisu is often cited by papers focused on Molecular Biology Techniques and Applications (4 papers), Cancer-related molecular mechanisms research (4 papers) and Genomics and Chromatin Dynamics (4 papers). Cristina Sisu collaborates with scholars based in United Kingdom, Greece and United States. Cristina Sisu's co-authors include Mark Gerstein, Jennifer Harrow, Mark Diekhans, Tim Hubbard, Adam Frankish, Rachel Harte, Suganthi Balasubramanian, Baikang Pei, Lukas Habegger and Xinmeng Jasmine Mu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and International Journal of Molecular Sciences.

In The Last Decade

Cristina Sisu

22 papers receiving 668 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cristina Sisu United Kingdom 13 533 161 70 67 66 23 674
Harlan Barker Finland 18 571 1.1× 57 0.4× 29 0.4× 33 0.5× 167 2.5× 37 799
Л. Л. Лукаш Ukraine 11 536 1.0× 133 0.8× 94 1.3× 93 1.4× 41 0.6× 116 693
Toru Sengoku Japan 18 1.5k 2.8× 69 0.4× 267 3.8× 68 1.0× 72 1.1× 33 1.7k
Daniel Hopkins United States 9 464 0.9× 46 0.3× 34 0.5× 17 0.3× 58 0.9× 15 589
Weili Miao United States 17 923 1.7× 375 2.3× 28 0.4× 145 2.2× 16 0.2× 45 1.2k
Brigette L. Tippin United States 12 819 1.5× 194 1.2× 185 2.6× 69 1.0× 16 0.2× 18 1.0k
Nahum J. Duker United States 17 649 1.2× 166 1.0× 63 0.9× 49 0.7× 60 0.9× 43 793
Aaron Patrick United States 11 510 1.0× 98 0.6× 65 0.9× 30 0.4× 13 0.2× 16 652
Yinuo Li China 14 483 0.9× 102 0.6× 136 1.9× 22 0.3× 11 0.2× 24 765
Bettina Mayer Germany 14 285 0.5× 62 0.4× 44 0.6× 39 0.6× 15 0.2× 20 513

Countries citing papers authored by Cristina Sisu

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Sisu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Sisu

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

All Works

20 of 20 papers shown
1.
Sisu, Cristina, et al.. (2024). Effect of MYC and PARP Inhibitors in Ovarian Cancer Using anIn VitroModel. Anticancer Research. 44(5). 1817–1827.
2.
Hall, Marcia, Ioannis Kyrou, Harpal Randeva, et al.. (2023). Transcriptional Landscape of 3D vs. 2D Ovarian Cancer Cell Models. Cancers. 15(13). 3350–3350. 15 indexed citations
3.
Federico, Concetta, Salvatore Saccone, Francesca Bruno, et al.. (2022). Engineered model of t(7;12)(q36;p13) AML recapitulates patient-specific features and gene expression profiles. Oncogenesis. 11(1). 50–50. 6 indexed citations
4.
Hall, Marcia, et al.. (2022). In Silico Study to Predict the Structural and Functional Consequences of SNPs on Biomarkers of Ovarian Cancer (OC) and BPA Exposure-Associated OC. International Journal of Molecular Sciences. 23(3). 1725–1725. 9 indexed citations
5.
Kyrou, Ioannis, et al.. (2022). Impact of Environmentally Relevant Concentrations of Bisphenol A (BPA) on the Gene Expression Profile in an In Vitro Model of the Normal Human Ovary. International Journal of Molecular Sciences. 23(10). 5334–5334. 10 indexed citations
6.
Katopodis, Periklis, Dimple Chudasama, Vladimir Anikin, et al.. (2022). Differential Expression of RAD51AP1 in Ovarian Cancer: Effects of siRNA In Vitro. Journal of Personalized Medicine. 12(2). 201–201. 2 indexed citations
7.
Sisu, Cristina, Marcia Hall, Nabeel Khan, et al.. (2022). Differential Regulation of Genes by the Glucogenic Hormone Asprosin in Ovarian Cancer. Journal of Clinical Medicine. 11(19). 5942–5942. 8 indexed citations
8.
Tosi, Sabrina, et al.. (2022). Pan-Cancer Analysis Identifies MNX1 and Associated Antisense Transcripts as Biomarkers for Cancer. Cells. 11(22). 3577–3577. 1 indexed citations
9.
Castro, Inês J. de, et al.. (2021). Non‐redundant functions of H2A.Z.1 and H2A.Z.2 in chromosome segregation and cell cycle progression. EMBO Reports. 22(11). e52061–e52061. 31 indexed citations
10.
Sisu, Cristina. (2021). Pseudogenes as Biomarkers and Therapeutic Targets in Human Cancers. Methods in molecular biology. 2324. 319–337. 15 indexed citations
11.
Sisu, Cristina, Elisabete Silva, Harpal Randeva, et al.. (2020). Is There a Link between Bisphenol A (BPA), a Key Endocrine Disruptor, and the Risk for SARS-CoV-2 Infection and Severe COVID-19?. Journal of Clinical Medicine. 9(10). 3296–3296. 16 indexed citations
12.
Sisu, Cristina, Paul Muir, Adam Frankish, et al.. (2020). Transcriptional activity and strain-specific history of mouse pseudogenes. Nature Communications. 11(1). 3695–3695. 13 indexed citations
13.
Katopodis, Periklis, et al.. (2020). In Silico and In Vitro Analysis of lncRNA XIST Reveals a Panel of Possible Lung Cancer Regulators and a Five-Gene Diagnostic Signature. Cancers. 12(12). 3499–3499. 11 indexed citations
14.
Chudasama, Dimple, Periklis Katopodis, Nicholas Stone, et al.. (2019). Liquid Biopsies in Lung Cancer: Four Emerging Technologies and Potential Clinical Applications. Cancers. 11(3). 331–331. 14 indexed citations
15.
Federico, Concetta, Francesca Bruno, Helen A. Foster, et al.. (2019). Deletions of Chromosome 7q Affect Nuclear Organization and HLXB9Gene Expression in Hematological Disorders. Cancers. 11(4). 585–585. 11 indexed citations
16.
Wang, Daifeng, Koon‐Kiu Yan, Cristina Sisu, et al.. (2015). Loregic: A Method to Characterize the Cooperative Logic of Regulatory Factors. PLoS Computational Biology. 11(4). e1004132–e1004132. 17 indexed citations
17.
Pei, Baikang, Cristina Sisu, Adam Frankish, et al.. (2012). The GENCODE pseudogene resource. Genome biology. 13(9). R51–R51. 251 indexed citations
18.
Sisu, Cristina, Andrew J. Baron, Hilbert M. Branderhorst, et al.. (2008). The Influence of Ligand Valency on Aggregation Mechanisms for Inhibiting Bacterial Toxins. ChemBioChem. 10(2). 329–337. 49 indexed citations
19.
Grant, Guy H., et al.. (2008). Classification of proteins based on similarity of two-dimensional protein maps. Biophysical Chemistry. 138(1-2). 11–22. 4 indexed citations
20.
Pukin, Aliaksei V., Hilbert M. Branderhorst, Cristina Sisu, et al.. (2007). Strong Inhibition of Cholera Toxin by Multivalent GM1 Derivatives. ChemBioChem. 8(13). 1500–1503. 83 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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