Savannah Cook

2.3k total citations
8 papers, 633 citations indexed

About

Savannah Cook is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Savannah Cook has authored 8 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Genetics and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Savannah Cook's work include Pluripotent Stem Cells Research (3 papers), CRISPR and Genetic Engineering (3 papers) and Renal and related cancers (2 papers). Savannah Cook is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), CRISPR and Genetic Engineering (3 papers) and Renal and related cancers (2 papers). Savannah Cook collaborates with scholars based in United States, Mexico and India. Savannah Cook's co-authors include Christopher Cavanaugh, Carol B. Ware, Xinxian Deng, C. Anthony Blau, Jennifer Hesson, Wenyu Zhou, Vincenzo Cirulli, Angelique M. Nelson, Brigham H. Mecham and Piper M. Treuting and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Methods and Methods.

In The Last Decade

Savannah Cook

8 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Savannah Cook United States	6	612	89	79	68	54	8	633
Amanda J. Collier United Kingdom	13	689 1.1×	162 1.8×	61 0.8×	47 0.7×	73 1.4×	14	745
Jens Durruthy-Durruthy United States	9	485 0.8×	100 1.1×	75 0.9×	43 0.6×	76 1.4×	9	562
John P. Schell Sweden	10	708 1.2×	100 1.1×	47 0.6×	49 0.7×	140 2.6×	11	755
Violetta Karwacki-Neisius United States	8	839 1.4×	217 2.4×	21 0.3×	56 0.8×	79 1.5×	10	906
Hien G. Hoang United States	7	743 1.2×	88 1.0×	130 1.6×	61 0.9×	25 0.5×	7	848
Anna Mattout Israel	13	1.0k 1.7×	63 0.7×	64 0.8×	20 0.3×	28 0.5×	13	1.1k
Jonathan E. Burnett United States	7	524 0.9×	63 0.7×	26 0.3×	29 0.4×	105 1.9×	7	610
Nils Grabole United Kingdom	7	790 1.3×	157 1.8×	21 0.3×	55 0.8×	28 0.5×	9	846
Petko Fiziev United States	5	680 1.1×	104 1.2×	132 1.7×	14 0.2×	51 0.9×	9	781
Adriano Bolondi Germany	9	341 0.6×	26 0.3×	29 0.4×	59 0.9×	24 0.4×	15	381

Countries citing papers authored by Savannah Cook

Since Specialization

Citations

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

Fields of papers citing papers by Savannah Cook

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Savannah Cook

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

All Works

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8 of 8 papers shown

Ware, Carol B., Erica C. Jonlin, Donovan J. Anderson, et al.. (2023). Derivation of Naïve Human Embryonic Stem Cells Using a CHK1 Inhibitor. Stem Cell Reviews and Reports. 19(8). 2980–2990. 2 indexed citations

Farb, Claudia R., et al.. (2022). General and Specific Aversive Modulation of Active Avoidance Require Central Amygdala. Frontiers in Behavioral Neuroscience. 16. 879168–879168. 1 indexed citations

Radtke, Stefan, Haiying Zhu, Savannah Cook, et al.. (2021). Multiplex CRISPR/Cas9 genome editing in hematopoietic stem cells for fetal hemoglobin reinduction generates chromosomal translocations. Molecular Therapy — Methods & Clinical Development. 23. 507–523. 31 indexed citations

Rajawat, Yogendra Singh, Olivier Humbert, Savannah Cook, et al.. (2020). In Vivo Gene Therapy for Canine SCID-X1 Using Cocal-Pseudotyped Lentiviral Vector. Human Gene Therapy. 32(1-2). 113–127. 6 indexed citations

Ma, Wenxiu, Ferhat Ay, Choli Lee, et al.. (2018). Using DNase Hi-C techniques to map global and local three-dimensional genome architecture at high resolution. Methods. 142. 59–73. 16 indexed citations

Bargaje, Rhishikesh, Kalliopi Trachana, Christopher S. McGinnis, et al.. (2017). Cell population structure prior to bifurcation predicts efficiency of directed differentiation in human induced pluripotent cells. Proceedings of the National Academy of Sciences. 114(9). 2271–2276. 65 indexed citations

Ma, Wenxiu, Ferhat Ay, Choli Lee, et al.. (2014). Fine-scale chromatin interaction maps reveal the cis-regulatory landscape of human lincRNA genes. Nature Methods. 12(1). 71–78. 152 indexed citations

Ware, Carol B., Angelique M. Nelson, Brigham H. Mecham, et al.. (2014). Derivation of naïve human embryonic stem cells. Proceedings of the National Academy of Sciences. 111(12). 4484–4489. 360 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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