Raffaello Cimbro

2.2k total citations
41 papers, 1.4k citations indexed

About

Raffaello Cimbro is a scholar working on Molecular Biology, Virology and Immunology. According to data from OpenAlex, Raffaello Cimbro has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Virology and 11 papers in Immunology. Recurrent topics in Raffaello Cimbro's work include HIV Research and Treatment (13 papers), Immune Cell Function and Interaction (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Raffaello Cimbro is often cited by papers focused on HIV Research and Treatment (13 papers), Immune Cell Function and Interaction (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Raffaello Cimbro collaborates with scholars based in United States, Italy and United Kingdom. Raffaello Cimbro's co-authors include Qing‐Rong Liu, Paolo Lusso, Kornel E. Schuebel, Antonello Bonci, David Goldman, Lindsay M. De Biase, Zheng‐Xiong Xi, Kamwing Jair, Hui Shen and Hai‐Ying Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Raffaello Cimbro

37 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raffaello Cimbro United States 20 418 372 369 332 226 41 1.4k
Jianuo Liu United States 20 204 0.5× 386 1.0× 472 1.3× 233 0.7× 263 1.2× 43 1.1k
Yuju Li China 16 219 0.5× 546 1.5× 329 0.9× 359 1.1× 80 0.4× 33 1.4k
Christopher R. Bye Australia 23 412 1.0× 682 1.8× 144 0.4× 508 1.5× 209 0.9× 31 1.8k
Alessia Bachis United States 23 190 0.5× 632 1.7× 507 1.4× 483 1.5× 651 2.9× 38 1.7k
Nathalie Davoust France 20 707 1.7× 437 1.2× 467 1.3× 218 0.7× 44 0.2× 28 1.6k
Pasquale Annunziata Italy 24 260 0.6× 345 0.9× 391 1.1× 337 1.0× 184 0.8× 62 1.6k
Li Cao China 26 463 1.1× 688 1.8× 456 1.2× 683 2.1× 110 0.5× 49 2.0k
Carrie Kincaid United States 16 460 1.1× 304 0.8× 263 0.7× 135 0.4× 90 0.4× 20 1.1k
Stephanie M. Toggas United States 10 176 0.4× 376 1.0× 458 1.2× 247 0.7× 601 2.7× 11 1.2k
Sowmya V. Yelamanchili United States 23 144 0.3× 1.2k 3.1× 172 0.5× 219 0.7× 119 0.5× 47 1.6k

Countries citing papers authored by Raffaello Cimbro

Since Specialization
Citations

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

Fields of papers citing papers by Raffaello Cimbro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raffaello Cimbro

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

All Works

20 of 20 papers shown
1.
2.
Girgis, Alexander A., Raffaello Cimbro, Ting Yang, et al.. (2025). Aberrant T-cell phenotypes in a cohort of patients with post-treatment Lyme disease. Frontiers in Immunology. 16. 1607619–1607619.
3.
Foreman, Taylor W., et al.. (2025). Automation of flow cytometry data analysis with elastic image registration. Scientific Reports. 15(1). 16949–16949.
4.
Taylor, Jonathan D., Sergio Martínez Cuesta, Fiona Pachl, et al.. (2024). Targeted protein degradation using chimeric human E2 ubiquitin-conjugating enzymes. Communications Biology. 7(1). 1179–1179. 11 indexed citations
5.
Markovinović, Andrea, et al.. (2023). Ageing-Induced Decline in Primary Myeloid Cell Phagocytosis Is Unaffected by Optineurin Insufficiency. Biology. 12(2). 240–240. 3 indexed citations
6.
McGrath‐Morrow, Sharon A., Roland Ndeh, Javier Pérez, et al.. (2023). Cellular and molecular dynamics in the lungs of neonatal and juvenile mice in response to E. coli. eLife. 12. 2 indexed citations
7.
Wang, Hong, Raffaello Cimbro, C. Conover Talbot, et al.. (2023). The XIST lncRNA is a sex-specific reservoir of TLR7 ligands in SLE. JCI Insight. 8(20). 35 indexed citations
8.
Xin, Wendy, Kornel E. Schuebel, Kam-Wing Jair, et al.. (2018). Ventral midbrain astrocytes display unique physiological features and sensitivity to dopamine D2 receptor signaling. Neuropsychopharmacology. 44(2). 344–355. 63 indexed citations
9.
Biase, Lindsay M. De, Kornel E. Schuebel, Kamwing Jair, et al.. (2017). Local Cues Establish and Maintain Region-Specific Phenotypes of Basal Ganglia Microglia. Neuron. 95(2). 341–356.e6. 327 indexed citations
10.
Cimbro, Raffaello, F. Javier Rubio, Lowella V. Fortuno, et al.. (2017). Neurons Internalize Functionalized Micron-Sized Silicon Dioxide Microspheres. Cellular and Molecular Neurobiology. 37(8). 1487–1499. 4 indexed citations
11.
Cimbro, Raffaello, Francis C. Peterson, Qingbo Liu, et al.. (2016). Tyrosine-sulfated V2 peptides inhibit HIV-1 infection via coreceptor mimicry. EBioMedicine. 10. 45–54. 12 indexed citations
12.
Rubio, F. Javier, Xuan Li, Qing‐Rong Liu, Raffaello Cimbro, & Bruce T. Hope. (2016). Fluorescence Activated Cell Sorting (FACS) and Gene Expression Analysis of Fos-expressing Neurons from Fresh and Frozen Rat Brain Tissue. Journal of Visualized Experiments. 24 indexed citations
13.
Huang, Hongtai, Andrea Fava, Raffaello Cimbro, et al.. (2015). A methodology for exploring biomarker – phenotype associations: application to flow cytometry data and systemic sclerosis clinical manifestations. BMC Bioinformatics. 16(1). 293–293. 9 indexed citations
14.
Rubio, F. Javier, Qing‐Rong Liu, Xuan Li, et al.. (2015). Context-Induced Reinstatement of Methamphetamine Seeking Is Associated with Unique Molecular Alterations in Fos-Expressing Dorsolateral Striatum Neurons. Journal of Neuroscience. 35(14). 5625–5639. 72 indexed citations
15.
16.
Cimbro, Raffaello, Michael Dolan, Christina Guzzo, et al.. (2014). Tyrosine sulfation in the second variable loop (V2) of HIV-1 gp120 stabilizes V2–V3 interaction and modulates neutralization sensitivity. Proceedings of the National Academy of Sciences. 111(8). 3152–3157. 24 indexed citations
17.
Gupta, Vinayak, et al.. (2014). AcGFP and mCherry Calibration Beads for Flow Cytometry. Journal of Biomolecular Techniques JBT. 25. 2 indexed citations
18.
Jelicic, Katija, Raffaello Cimbro, Fatima Nawaz, et al.. (2013). The HIV-1 envelope protein gp120 impairs B cell proliferation by inducing TGF-β1 production and FcRL4 expression. Nature Immunology. 14(12). 1256–1265. 78 indexed citations
19.
Guzzo, Christina, Yin Lin, Huiyi Miao, et al.. (2013). The CD8-Derived Chemokine XCL1/Lymphotactin Is a Conformation-Dependent, Broad-Spectrum Inhibitor of HIV-1. PLoS Pathogens. 9(12). e1003852–e1003852. 32 indexed citations
20.
Varchetta, Stefania, Paolo Lusso, Kelly Hudspeth, et al.. (2013). Sialic acid-binding Ig-like lectin-7 interacts with HIV-1 gp120 and facilitates infection of CD4posT cells and macrophages. Retrovirology. 10(1). 154–154. 35 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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