Marianna Foos

1.2k total citations
7 papers, 218 citations indexed

About

Marianna Foos is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Immunology. According to data from OpenAlex, Marianna Foos has authored 7 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Immunology. Recurrent topics in Marianna Foos's work include Prenatal Screening and Diagnostics (2 papers), Genomics and Chromatin Dynamics (1 paper) and Signaling Pathways in Disease (1 paper). Marianna Foos is often cited by papers focused on Prenatal Screening and Diagnostics (2 papers), Genomics and Chromatin Dynamics (1 paper) and Signaling Pathways in Disease (1 paper). Marianna Foos collaborates with scholars based in United States and United Kingdom. Marianna Foos's co-authors include Yanhui Hu, Richelle Sopko, Norbert Perrimon, I. R. Flockhart, Xiaowei Wang, Stephanie E. Mohr, Colleen Kelley, Arunachalam Vinayagam, Richard Binari and Bo Zhai and has published in prestigious journals such as Blood, Developmental Cell and Alzheimer s & Dementia.

In The Last Decade

Marianna Foos

7 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marianna Foos United States	5	126	58	51	43	32	7	218
Maria D. Purice United States	4	109 0.9×	74 1.3×	44 0.9×	21 0.5×	35 1.1×	7	224
Maria L. Sapar United States	10	136 1.1×	89 1.5×	63 1.2×	44 1.0×	64 2.0×	13	266
Amy R. Poe United States	7	113 0.9×	97 1.7×	48 0.9×	33 0.8×	30 0.9×	14	260
Vilaiwan M. Fernandes United States	9	166 1.3×	142 2.4×	29 0.6×	61 1.4×	24 0.8×	16	277
Nan Xu United States	8	234 1.9×	48 0.8×	14 0.3×	26 0.6×	16 0.5×	12	354
Hyung-Lok Chung United States	10	233 1.8×	47 0.8×	40 0.8×	67 1.6×	18 0.6×	17	344
Janine Fenton United Kingdom	7	170 1.3×	163 2.8×	80 1.6×	43 1.0×	13 0.4×	7	326
Jack Jing Lin Wong Singapore	7	206 1.6×	187 3.2×	53 1.0×	114 2.7×	22 0.7×	7	364
Jacqueline Morris United States	11	213 1.7×	89 1.5×	23 0.5×	16 0.4×	29 0.9×	13	362
Martijn J. E. Kelder United Kingdom	3	297 2.4×	35 0.6×	36 0.7×	18 0.4×	80 2.5×	3	372

Countries citing papers authored by Marianna Foos

Since Specialization

Citations

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

Fields of papers citing papers by Marianna Foos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marianna Foos

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

All Works

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7 of 7 papers shown

Kinney, Melissa A., Ilya Shestopalov, Marianna Foos, et al.. (2024). Predictors of Biologic Efficacy with Lovotibeglogene Autotemcel (Lovo-cel) Gene Therapy in Patients with Sickle Cell Disease. Transplantation and Cellular Therapy. 30(2). S231–S232. 1 indexed citations

Tisdale, John F., Alexis A. Thompson, Markus Y. Mapara, et al.. (2021). Polyclonality Strongly Correlates with Biological Outcomes and Is Significantly Increased Following Improvements to the Phase 1/2 HGB-206 Protocol and Manufacturing of LentiGlobin for Sickle Cell Disease (SCD; bb1111) Gene Therapy (GT). Blood. 138(Supplement 1). 561–561. 4 indexed citations

Delbridge, Alex R. D., Dann Huh, Margot Brickelmaier, et al.. (2020). Organotypic Brain Slice Culture Microglia Exhibit Molecular Similarity to Acutely-Isolated Adult Microglia and Provide a Platform to Study Neuroinflammation. Frontiers in Cellular Neuroscience. 14. 592005–592005. 39 indexed citations

Hu, Yanhui, Richelle Sopko, Verena Chung, et al.. (2018). iProteinDB: An Integrative Database of Drosophila Post-translational Modifications. G3 Genes Genomes Genetics. 9(1). 1–11. 23 indexed citations

Sopko, Richelle, Marianna Foos, Arunachalam Vinayagam, et al.. (2014). Combining Genetic Perturbations and Proteomics to Examine Kinase-Phosphatase Networks in Drosophila Embryos. Developmental Cell. 31(1). 114–127. 50 indexed citations

Hu, Yanhui, Richelle Sopko, Marianna Foos, et al.. (2013). FlyPrimerBank: An Online Database for Drosophila melanogaster Gene Expression Analysis and Knockdown Evaluation of RNAi Reagents. G3 Genes Genomes Genetics. 3(9). 1607–1616. 100 indexed citations

Foos, Marianna, et al.. (2010). P1‐157: Modeling Alzheimer's disease in Drosophila melanogaster for large‐scale compound screening. Alzheimer s & Dementia. 6(4S_Part_7). 1 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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