Sakina Saif

2.0k total citations
10 papers, 985 citations indexed

About

Sakina Saif is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Sakina Saif has authored 10 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Cancer Research. Recurrent topics in Sakina Saif's work include Herpesvirus Infections and Treatments (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Genomics and Phylogenetic Studies (2 papers). Sakina Saif is often cited by papers focused on Herpesvirus Infections and Treatments (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Genomics and Phylogenetic Studies (2 papers). Sakina Saif collaborates with scholars based in United States, Netherlands and India. Sakina Saif's co-authors include Qiandong Zeng, Sarah Young, Jennifer R. Wortman, Jukka Corander, Willem van Schaik, Varun Mazumdar, Michael S. Gilmore, Allison Griggs, Abigail L. Manson and Lu Cheng and has published in prestigious journals such as Journal of Clinical Investigation, Nature Genetics and PLoS ONE.

In The Last Decade

Sakina Saif

10 papers receiving 972 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sakina Saif United States 9 358 333 237 223 167 10 985
Robert L. Cole United States 17 538 1.5× 398 1.2× 386 1.6× 199 0.9× 170 1.0× 22 1.3k
Craig Corton United Kingdom 14 607 1.7× 605 1.8× 116 0.5× 568 2.5× 129 0.8× 17 1.7k
Yiping Wen China 18 376 1.1× 266 0.8× 201 0.8× 91 0.4× 181 1.1× 106 1.1k
Vijaykumar Pancholi United States 7 278 0.8× 330 1.0× 415 1.8× 194 0.9× 76 0.5× 7 880
K. Bodi United States 10 336 0.9× 875 2.6× 63 0.3× 140 0.6× 295 1.8× 11 1.4k
Konrad Trülzsch Germany 21 246 0.7× 782 2.3× 75 0.3× 91 0.4× 81 0.5× 34 1.6k
Matthew Mayho United Kingdom 15 212 0.6× 555 1.7× 499 2.1× 274 1.2× 143 0.9× 20 1.3k
Barica Kušećek Germany 25 202 0.6× 840 2.5× 141 0.6× 613 2.7× 247 1.5× 29 2.4k
David Cue United States 23 709 2.0× 766 2.3× 542 2.3× 187 0.8× 362 2.2× 29 1.5k
Tiziana Maggi Italy 13 360 1.0× 494 1.5× 437 1.8× 281 1.3× 125 0.7× 17 1.1k

Countries citing papers authored by Sakina Saif

Since Specialization
Citations

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

Fields of papers citing papers by Sakina Saif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sakina Saif

This figure shows the co-authorship network connecting the top 25 collaborators of Sakina Saif. A scholar is included among the top collaborators of Sakina Saif 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 Sakina Saif. Sakina Saif 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
1.
Greenawalt, Danielle, Winnie S. Liang, Sakina Saif, et al.. (2017). Comparative analysis of primary versus relapse/refractory DLBCL identifies shifts in mutation spectrum. Oncotarget. 8(59). 99237–99244. 17 indexed citations
2.
Farrer, Rhys A., Christopher A. Desjardins, Sharadha Sakthikumar, et al.. (2015). Genome Evolution and Innovation across the Four Major Lineages of Cryptococcus gattii. mBio. 6(5). e00868–15. 68 indexed citations
3.
Newman, Ruchi M., Susanna L. Lamers, Brian Weiner, et al.. (2015). Genome Sequencing and Analysis of Geographically Diverse Clinical Isolates of Herpes Simplex Virus 2. Journal of Virology. 89(16). 8219–8232. 56 indexed citations
4.
Colgrove, Robert C., Fernando Dı́az, Ruchi M. Newman, et al.. (2014). Genomic sequences of a low passage herpes simplex virus 2 clinical isolate and its plaque-purified derivative strain. Virology. 450-451. 140–145. 29 indexed citations
5.
Lebreton, François, Willem van Schaik, Abigail L. Manson, et al.. (2013). Emergence of Epidemic Multidrug-Resistant Enterococcus faecium from Animal and Commensal Strains. mBio. 4(4). 314 indexed citations
6.
Desjardins, Christopher A., Gustavo Cerqueira, Jonathan M. Goldberg, et al.. (2013). Genomics of Loa loa, a Wolbachia-free filarial parasite of humans. Nature Genetics. 45(5). 495–500. 122 indexed citations
7.
Neafsey, Daniel E., Kevin Galinsky, Rays H. Y. Jiang, et al.. (2012). The malaria parasite Plasmodium vivax exhibits greater genetic diversity than Plasmodium falciparum. Nature Genetics. 44(9). 1046–1050. 206 indexed citations
8.
Vicent, Silvestre, Chen Ron, Leanne C. Sayles, et al.. (2010). Wilms tumor 1 (WT1) regulates KRAS-driven oncogenesis and senescence in mouse and human models. Journal of Clinical Investigation. 120(11). 3940–3952. 101 indexed citations
9.
Henn, Matthew R., Matthew B. Sullivan, Nicole Stange-Thomann, et al.. (2010). Analysis of High-Throughput Sequencing and Annotation Strategies for Phage Genomes. PLoS ONE. 5(2). e9083–e9083. 69 indexed citations
10.
Saif, Sakina. (2004). AP-1 Is Required For CMX-8933-Induced SOD Upregulation And Is Translocated In Response To A Human EPN Mimetic. Digital WPI. 3 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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