Alisa Valentino

420 total citations
17 papers, 306 citations indexed

About

Alisa Valentino is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Hematology. According to data from OpenAlex, Alisa Valentino has authored 17 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Hematology. Recurrent topics in Alisa Valentino's work include Monoclonal and Polyclonal Antibodies Research (5 papers), HIV Research and Treatment (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). Alisa Valentino is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), HIV Research and Treatment (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). Alisa Valentino collaborates with scholars based in United States and United Kingdom. Alisa Valentino's co-authors include Ellinor I.B. Peerschke, Kinga Hosszu, Berhane Ghebrehiwet, Yan Ji, Michael Joyce, Frances Santiago‐Schwarz, Carla A. Martin, Richard R. Kew, Uday Kishore and Mahalakshmi Ramadass and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

In The Last Decade

Alisa Valentino

16 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alisa Valentino United States 10 213 62 38 36 29 17 306
Kinga Hosszu United States 11 292 1.4× 72 1.2× 52 1.4× 67 1.9× 25 0.9× 25 390
Boon King Teh Singapore 6 207 1.0× 81 1.3× 17 0.4× 32 0.9× 22 0.8× 7 328
Lindsay E. Nyhoff United States 10 127 0.6× 46 0.7× 93 2.4× 54 1.5× 49 1.7× 14 277
David Kuhrt United States 8 114 0.5× 53 0.9× 48 1.3× 66 1.8× 32 1.1× 12 285
William Loo United States 9 249 1.2× 68 1.1× 21 0.6× 18 0.5× 26 0.9× 11 382
Louis Marois Canada 8 110 0.5× 95 1.5× 12 0.3× 24 0.7× 16 0.6× 16 237
Ji-Lao Fan United States 12 214 1.0× 116 1.9× 31 0.8× 60 1.7× 69 2.4× 16 520
Ruinan Lu China 11 94 0.4× 120 1.9× 75 2.0× 68 1.9× 18 0.6× 30 359
Céline René France 11 173 0.8× 67 1.1× 25 0.7× 27 0.8× 13 0.4× 19 318
Katharina Pracht Germany 9 181 0.8× 149 2.4× 9 0.2× 30 0.8× 23 0.8× 15 376

Countries citing papers authored by Alisa Valentino

Since Specialization
Citations

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

Fields of papers citing papers by Alisa Valentino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alisa Valentino

This figure shows the co-authorship network connecting the top 25 collaborators of Alisa Valentino. A scholar is included among the top collaborators of Alisa Valentino 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 Alisa Valentino. Alisa Valentino 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.
Matulewicz, Richard S., Andrea Knežević, Brandon Williams, et al.. (2025). Comparison of serum and plasma microRNA expression levels in patients with germ cell tumours. British Journal of Urology. 135(5). 748–750.
2.
Herskovits, A. Zara, et al.. (2024). Comparing Clinician Estimates versus a Statistical Tool for Predicting Risk of Death within 45 Days of Admission for Cancer Patients. Applied Clinical Informatics. 15(3). 489–500. 2 indexed citations
3.
Matulewicz, Richard S., Andrea Knežević, Joel Sheinfeld, et al.. (2024). Perioperative Serum MicroRNA 371a-3p and 372-3p Levels in Patients with Clinically Localized Testicular Masses. European Urology Open Science. 68. 1–9. 1 indexed citations
4.
Feldman, Darren R., Alisa Valentino, Shah Alam Khan, et al.. (2022). Analytical Validation and Performance Characteristics of Molecular Serum Biomarkers, miR-371a-3p and miR-372-3p, for Male Germ Cell Tumors, in a Clinical Laboratory Setting. Journal of Molecular Diagnostics. 24(8). 867–877. 8 indexed citations
5.
Peerschke, Ellinor I.B., et al.. (2021). Thromboinflammation Supports Complement Activation in Cancer Patients With COVID-19. Frontiers in Immunology. 12. 716361–716361. 10 indexed citations
6.
Hosszu, Kinga, Alisa Valentino, Ellinor I.B. Peerschke, & Berhane Ghebrehiwet. (2020). SLE: Novel Postulates for Therapeutic Options. Frontiers in Immunology. 11. 583853–583853. 8 indexed citations
7.
Valentino, Alisa, Yan Ji, Kinga Hosszu, et al.. (2016). Identification of the gC1qR sites for the HIV-1 viral envelope protein gp41 and the HCV core protein: Implications in viral-specific pathogenesis and therapy. Molecular Immunology. 74. 18–26. 15 indexed citations
8.
Ghebrehiwet, Berhane, Kinga Hosszu, Alisa Valentino, Yan Ji, & Ellinor I.B. Peerschke. (2014). Monocyte Expressed Macromolecular C1 and C1q Receptors as Molecular Sensors of Danger: Implications in SLE. Frontiers in Immunology. 5. 278–278. 31 indexed citations
9.
Ghebrehiwet, Berhane, Yan Ji, Alisa Valentino, et al.. (2013). Soluble gC1qR Is an Autocrine Signal That Induces B1R Expression on Endothelial Cells. The Journal of Immunology. 192(1). 377–384. 30 indexed citations
10.
Hosszu, Kinga, Alisa Valentino, Yanhui Ma, et al.. (2012). Cell Surface Expression and Function of the Macromolecular C1 Complex on the Surface of Human Monocytes. Frontiers in Immunology. 3. 38–38. 17 indexed citations
11.
Ghebrehiwet, Berhane, Kinga Hosszu, Alisa Valentino, & Ellinor I.B. Peerschke. (2012). The C1q Family of Proteins: Insights into the Emerging Non-Traditional Functions. Frontiers in Immunology. 3. 81 indexed citations
12.
Ghebrehiwet, Berhane, Jolyon Jesty, Yan Ji, et al.. (2012). Targeting gC1qR Domains for Therapy Against Infection and Inflammation. Advances in experimental medicine and biology. 735. 97–110. 16 indexed citations
13.
Hosszu, Kinga, et al.. (2012). Identification of the gC1qR binding sites for HIV-1 gp41 and HCV core protein. Immunobiology. 217(11). 1177–1177. 1 indexed citations
14.
Hosszu, Kinga, Alisa Valentino, Michael Joyce, et al.. (2012). DC-SIGN, C1q, and gC1qR form a trimolecular receptor complex on the surface of monocyte-derived immature dendritic cells. Blood. 120(6). 1228–1236. 49 indexed citations
15.
Ghebrehiwet, Berhane, Jolyon Jesty, Yan Ji, et al.. (2011). Structure?Function Studies Using Deletion Mutants Identify Domains of gC1qR/p33 as Potential Therapeutic Targets for Vascular Permeability and Inflammation. SHILAP Revista de lepidopterología. 2. 19 indexed citations
16.
Santiago‐Schwarz, Frances, Alisa Valentino, Carla A. Martin, & Christopher J. DiMaio. (2010). IL-10 interruption of dendritic cell (DC) differentiation during the monocyte-to-DC transition is associated with increased levels of LC3, mature autophagosome formation, and survival of monocyte-macrophage-like cells. (134.21). The Journal of Immunology. 184(Supplement_1). 134.21–134.21. 1 indexed citations
17.

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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