Sarah C. Starossom

1.4k total citations
15 papers, 754 citations indexed

About

Sarah C. Starossom is a scholar working on Neurology, Immunology and Molecular Biology. According to data from OpenAlex, Sarah C. Starossom has authored 15 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 6 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Sarah C. Starossom's work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Platelet Disorders and Treatments (3 papers). Sarah C. Starossom is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Platelet Disorders and Treatments (3 papers). Sarah C. Starossom collaborates with scholars based in United States, Germany and Lebanon. Sarah C. Starossom's co-authors include Jaime Imitola, Samia J. Khoury, Eugene D. Ponomarev, Tatyana Veremeyko, Howard L. Weiner, Li Cao, Wassim Elyaman, Juan P. Cerliani, Diego O. Croci and Ribal Bassil and has published in prestigious journals such as Nature Communications, Immunity and PLoS ONE.

In The Last Decade

Sarah C. Starossom

14 papers receiving 747 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah C. Starossom United States 11 374 274 227 90 81 15 754
Heather A. Iocca United States 9 403 1.1× 671 2.4× 141 0.6× 47 0.5× 71 0.9× 20 973
Jennifer L. Berard Canada 9 321 0.9× 238 0.9× 321 1.4× 88 1.0× 220 2.7× 9 929
Jens Ingwersen Germany 14 294 0.8× 236 0.9× 198 0.9× 78 0.9× 261 3.2× 22 817
Marc Charabati Canada 15 219 0.6× 259 0.9× 234 1.0× 51 0.6× 142 1.8× 21 692
Wenying Fan China 14 362 1.0× 366 1.3× 330 1.5× 39 0.4× 23 0.3× 19 943
Roobina Boghozian Canada 10 218 0.6× 448 1.6× 134 0.6× 22 0.2× 60 0.7× 19 716
Sandrine Pouly Switzerland 16 753 2.0× 344 1.3× 212 0.9× 157 1.7× 319 3.9× 31 1.4k
В. И. Селедцов Russia 14 309 0.8× 171 0.6× 57 0.3× 80 0.9× 60 0.7× 65 721
Tarik Touil Morocco 11 431 1.2× 135 0.5× 127 0.6× 30 0.3× 211 2.6× 17 746
Ranran Han China 17 355 0.9× 410 1.5× 277 1.2× 31 0.3× 75 0.9× 24 959

Countries citing papers authored by Sarah C. Starossom

Since Specialization
Citations

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

Fields of papers citing papers by Sarah C. Starossom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah C. Starossom. 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 Sarah C. Starossom. The network helps show where Sarah C. Starossom may publish in the future.

Co-authorship network of co-authors of Sarah C. Starossom

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

All Works

15 of 15 papers shown
1.
Fernández‐Zapata, Camila, Alev Alaçam, Oliver Klein, et al.. (2025). Generation of decellularized human brain tissue for investigating cell-matrix interactions: a proof-of-concept study. Frontiers in Bioengineering and Biotechnology. 13. 1578467–1578467.
2.
Stachelscheid, Harald, et al.. (2024). Establishment of a high-content compatible platform to assess effects of monocyte-derived factors on neural stem cell proliferation and differentiation. Scientific Reports. 14(1). 12167–12167. 1 indexed citations
3.
Imitola, Jaime, Ethan W. Hollingsworth, Marta Olah, et al.. (2023). Stat1 is an inducible transcriptional repressor of neural stem cells self-renewal program during neuroinflammation. Frontiers in Cellular Neuroscience. 17. 1156802–1156802. 11 indexed citations
4.
Montalbán, Xavier, Jerry S. Wolinsky, Douglas L. Arnold, et al.. (2023). Update on Long-Term Efficacy and Safety of Evobrutinib, a Bruton's Tyrosine Kinase Inhibitor, Over 5 Years from an Ongoing Phase 2 Open-Label Extension. Multiple Sclerosis and Related Disorders. 80. 105329–105329. 2 indexed citations
5.
Starossom, Sarah C., Silvina Romero‐Suárez, Marta Olah, et al.. (2019). Chi3l3 induces oligodendrogenesis in an experimental model of autoimmune neuroinflammation. Nature Communications. 10(1). 217–217. 57 indexed citations
6.
Merzaban, Jasmeen S., Jaime Imitola, Sarah C. Starossom, et al.. (2015). Cell surface glycan engineering of neural stem cells augments neurotropism and improves recovery in a murine model of multiple sclerosis. Glycobiology. 25(12). 1392–1409. 43 indexed citations
7.
Starossom, Sarah C., Tatyana Veremeyko, Amanda W. Y. Yung, et al.. (2015). Platelets Play Differential Role During the Initiation and Progression of Autoimmune Neuroinflammation. Circulation Research. 117(9). 779–792. 73 indexed citations
8.
Starossom, Sarah C., Tatyana Veremeyko, Marina Dukhinova, Amanda W. Y. Yung, & Eugene D. Ponomarev. (2014). Glatiramer Acetate (Copaxone) Modulates Platelet Activation and Inhibits Thrombin-Induced Calcium Influx: Possible Role of Copaxone in Targeting Platelets during Autoimmune Neuroinflammation. PLoS ONE. 9(5). e96256–e96256. 21 indexed citations
9.
Veremeyko, Tatyana, et al.. (2013). Platelets Recognize Brain-Specific Glycolipid Structures, Respond to Neurovascular Damage and Promote Neuroinflammation. PLoS ONE. 8(3). e58979–e58979. 61 indexed citations
10.
Veremeyko, Tatyana, Sarah C. Starossom, Howard L. Weiner, & Eugene D. Ponomarev. (2012). Detection of MicroRNAs in Microglia by Real-time PCR in Normal CNS and During Neuroinflammation. Journal of Visualized Experiments. 34 indexed citations
11.
Starossom, Sarah C., Iván Mascanfroni, Jaime Imitola, et al.. (2012). Galectin-1 Deactivates Classically Activated Microglia and Protects from Inflammation-Induced Neurodegeneration. Immunity. 37(2). 249–263. 285 indexed citations
12.
Veremeyko, Tatyana, Sarah C. Starossom, Howard L. Weiner, & Eugene D. Ponomarev. (2012). Detection of MicroRNAs in Microglia by Real-time PCR in Normal CNS and During Neuroinflammation. Journal of Visualized Experiments. 8 indexed citations
13.
Wu, Henry Yim, Francisco J. Quintana, Andre Pires da Cunha, et al.. (2011). In Vivo Induction of Tr1 Cells via Mucosal Dendritic Cells and AHR Signaling. PLoS ONE. 6(8). e23618–e23618. 84 indexed citations
14.
Starossom, Sarah C., Jaime Imitola, Yue Wang, Li Cao, & Samia J. Khoury. (2010). Subventricular zone microglia transcriptional networks. Brain Behavior and Immunity. 25(5). 991–999. 12 indexed citations
15.
Rasmussen, Stine, Jaime Imitola, Ángel Ayuso‐Sacido, et al.. (2010). Reversible neural stem cell niche dysfunction in a model of multiple sclerosis. Annals of Neurology. 69(5). 878–891. 62 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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