Tracey M. Ferrara

1.9k total citations
17 papers, 533 citations indexed

About

Tracey M. Ferrara is a scholar working on Molecular Biology, Genetics and Geometry and Topology. According to data from OpenAlex, Tracey M. Ferrara has authored 17 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Geometry and Topology. Recurrent topics in Tracey M. Ferrara's work include Morphological variations and asymmetry (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). Tracey M. Ferrara is often cited by papers focused on Morphological variations and asymmetry (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). Tracey M. Ferrara collaborates with scholars based in United States, Canada and Tanzania. Tracey M. Ferrara's co-authors include Richard A. Spritz, Ying Jin, Songtao Ben, Charles A. Dinarello, Stephanie A. Santorico, Guy M. Benian, Christina M. Mailloux, Cecilia B. Levandowski, Paulene J. Holland and Kimberly K. McFann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Tracey M. Ferrara

16 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tracey M. Ferrara United States 11 265 154 123 95 53 17 533
Hayao NISHINAKAGAWA Japan 13 182 0.7× 31 0.2× 39 0.3× 71 0.7× 12 0.2× 55 516
Daisuke Mashiko Japan 9 492 1.9× 50 0.3× 61 0.5× 217 2.3× 4 0.1× 24 737
Judith L. Morgan United States 8 144 0.5× 34 0.2× 105 0.9× 64 0.7× 6 0.1× 9 353
Adele A. Mitchell United States 14 303 1.1× 62 0.4× 56 0.5× 415 4.4× 2 0.0× 20 777
Ricardo A. Verdugo Chile 15 219 0.8× 78 0.5× 12 0.1× 179 1.9× 2 0.0× 33 516
Yiming Cheng United States 12 525 2.0× 159 1.0× 37 0.3× 26 0.3× 25 743
M Schmid Germany 13 163 0.6× 217 1.4× 38 0.3× 251 2.6× 49 722
Claudia Hagedorn Germany 14 283 1.1× 30 0.2× 31 0.3× 209 2.2× 36 494
Annekatrien Boel Belgium 18 479 1.8× 56 0.4× 47 0.4× 176 1.9× 41 814

Countries citing papers authored by Tracey M. Ferrara

Since Specialization
Citations

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

Fields of papers citing papers by Tracey M. Ferrara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tracey M. Ferrara. 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 Tracey M. Ferrara. The network helps show where Tracey M. Ferrara may publish in the future.

Co-authorship network of co-authors of Tracey M. Ferrara

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

All Works

17 of 17 papers shown
1.
Goleva, Slavina B., et al.. (2024). Racial and Ethnic Disparities in Antihypertensive Medication Prescribing Patterns and Effectiveness. Clinical Pharmacology & Therapeutics. 116(6). 1544–1553. 3 indexed citations
2.
Mo, Huan, Tracey M. Ferrara, David J. Schlueter, et al.. (2024). Hyponatremia Associated with the Use of Common Antidepressants in the All of Us Research Program. Clinical Pharmacology & Therapeutics. 117(2). 534–543. 2 indexed citations
3.
Singh-Miller, Nicholas, Tracey M. Ferrara, Jennifer J. Johnston, et al.. (2024). O09: Phenome-wide studies of hereditary transthyretin amyloidosis in the All of Us research program. SHILAP Revista de lepidopterología. 2. 101013–101013.
4.
Schlueter, David J., Lina Sulieman, Huan Mo, et al.. (2023). Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program. Journal of the American Medical Informatics Association. 31(1). 139–153. 6 indexed citations
5.
Jin, Ying, Genevieve H. L. Roberts, Tracey M. Ferrara, et al.. (2019). Early-onset autoimmune vitiligo associated with an enhancer variant haplotype that upregulates class II HLA expression. Nature Communications. 10(1). 391–391. 43 indexed citations
6.
Mao, Li, Joanne B. Cole, Mange Manyama, et al.. (2017). Rapid automated landmarking for morphometric analysis of three‐dimensional facial scans. Journal of Anatomy. 230(4). 607–618. 26 indexed citations
7.
Larson, Jacinda R., Mange Manyama, Joanne B. Cole, et al.. (2017). Body size and allometric variation in facial shape in children. American Journal of Physical Anthropology. 165(2). 327–342. 21 indexed citations
8.
Hayashi, Masahiro, Ying Jin, Daniel Yorgov, et al.. (2016). Autoimmune vitiligo is associated with gain-of-function by a transcriptional regulator that elevates expression of HLA-A*02:01 in vivo. Proceedings of the National Academy of Sciences. 113(5). 1357–1362. 43 indexed citations
9.
Ben, Songtao, et al.. (2016). Multiplex SNaPshot—a new simple and efficient CYP2D6 and ADRB1 genotyping method. Human Genomics. 10(1). 11–11. 8 indexed citations
10.
Shah, Khadim, Muhammad Ansar, Falak Sher Khan, et al.. (2016). Recessive progressive symmetric erythrokeratoderma results from a homozygous loss-of-function mutation of KRT83 and is allelic with dominant monilethrix. Journal of Medical Genetics. 54(3). 186–189. 10 indexed citations
11.
Cole, Joanne B., Mange Manyama, Jacinda R. Larson, et al.. (2016). Genomewide Association Study of African Children Identifies Association of SCHIP1 and PDE8A with Facial Size and Shape. PLoS Genetics. 12(8). e1006174–e1006174. 57 indexed citations
12.
Cole, Joanne B., Mange Manyama, Jacinda R. Larson, et al.. (2016). Human Facial Shape and Size Heritability and Genetic Correlations. Genetics. 205(2). 967–978. 48 indexed citations
13.
Levandowski, Cecilia B., Christina M. Mailloux, Tracey M. Ferrara, et al.. (2013). NLRP1 haplotypes associated with vitiligo and autoimmunity increase interleukin-1β processing via the NLRP1 inflammasome. Proceedings of the National Academy of Sciences. 110(8). 2952–2956. 163 indexed citations
14.
Ferrara, Tracey M., et al.. (2013). Identification of nucleotides and amino acids that mediate the interaction between ribosomal protein L30 and the SECIS element. BMC Molecular Biology. 14(1). 12–12. 14 indexed citations
15.
Dallmann, H. Garry, Guy Tomer, Joe Chen, et al.. (2010). Parallel Multiplicative Target Screening against Divergent Bacterial Replicases: Identification of Specific Inhibitors with Broad Spectrum Potential. Biochemistry. 49(11). 2551–2562. 17 indexed citations
16.
Qadota, Hiroshi, et al.. (2008). A Novel Protein Phosphatase is a Binding Partner for the Protein Kinase Domains of UNC-89 (Obscurin) inCaenorhabditis elegans. Molecular Biology of the Cell. 19(6). 2424–2432. 46 indexed citations
17.
Ferrara, Tracey M., Denise B. Flaherty, & Guy M. Benian. (2006). Titin/connectin-related proteins in C. elegans: a review and new findings. Journal of Muscle Research and Cell Motility. 26(6-8). 435–447. 26 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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