George Vlad

3.1k total citations
60 papers, 2.3k citations indexed

About

George Vlad is a scholar working on Immunology, Surgery and Transplantation. According to data from OpenAlex, George Vlad has authored 60 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Immunology, 16 papers in Surgery and 11 papers in Transplantation. Recurrent topics in George Vlad's work include Immune Cell Function and Interaction (32 papers), T-cell and B-cell Immunology (27 papers) and Immunotherapy and Immune Responses (19 papers). George Vlad is often cited by papers focused on Immune Cell Function and Interaction (32 papers), T-cell and B-cell Immunology (27 papers) and Immunotherapy and Immune Responses (19 papers). George Vlad collaborates with scholars based in United States, Italy and Germany. George Vlad's co-authors include Nicole Suciu‐Foca, Raffaello Cortesini, John S. Manavalan, Donna Mancini, Adriana I. Colovai, Luigi Scotto, Eric K. Ho, Seunghee Kim‐Schulze, Flavia Piazza and Elena R. Vasilescu and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

George Vlad

60 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Vlad United States 27 1.6k 445 404 238 194 60 2.3k
Raffaello Cortesini United States 31 2.3k 1.4× 338 0.8× 326 0.8× 268 1.1× 195 1.0× 60 2.8k
Cherry Kingsley United Kingdom 13 1.8k 1.1× 351 0.8× 298 0.7× 196 0.8× 168 0.9× 15 2.2k
Ewa Jankowska−Gan United States 25 1.3k 0.8× 548 1.2× 577 1.4× 419 1.8× 268 1.4× 61 2.4k
Sylvie Ferrari‐Lacraz Switzerland 20 1.0k 0.6× 320 0.7× 338 0.8× 344 1.4× 352 1.8× 60 1.9k
Cécile Taflin France 8 1.7k 1.1× 206 0.5× 167 0.4× 427 1.8× 170 0.9× 9 2.1k
Bernd M. Spriewald Germany 26 790 0.5× 491 1.1× 443 1.1× 114 0.5× 228 1.2× 74 1.7k
Anna Valujskikh United States 32 2.3k 1.4× 1.0k 2.3× 695 1.7× 264 1.1× 405 2.1× 89 3.2k
Sebastiaan Heidt Netherlands 30 1.1k 0.7× 1.2k 2.7× 802 2.0× 216 0.9× 325 1.7× 130 2.5k
Cristiano Scottà United Kingdom 22 971 0.6× 164 0.4× 178 0.4× 283 1.2× 178 0.9× 45 1.5k
María P. Hernández-Fuentes United Kingdom 27 1.6k 1.0× 1.2k 2.8× 647 1.6× 250 1.1× 269 1.4× 69 2.7k

Countries citing papers authored by George Vlad

Since Specialization
Citations

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

Fields of papers citing papers by George Vlad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Vlad

This figure shows the co-authorship network connecting the top 25 collaborators of George Vlad. A scholar is included among the top collaborators of George Vlad 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 George Vlad. George Vlad 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.
Levy, Brynn, Linda B. Baughn, Yassmine Akkari, et al.. (2022). Optical genome mapping in acute myeloid leukemia: a multicenter evaluation. Blood Advances. 7(7). 1297–1307. 65 indexed citations
2.
Miller, M. L., et al.. (2019). Detection of Nonhematologic Neoplasms by Routine Flow Cytometry Analysis. American Journal of Clinical Pathology. 153(1). 99–104. 7 indexed citations
3.
Xu, Zheng, et al.. (2016). Molecular and Cellular Characterization of Human CD8 T Suppressor Cells. Frontiers in Immunology. 7. 549–549. 21 indexed citations
4.
Waschbisch, Anne, Nicholas Sanderson, Markus Krumbholz, et al.. (2014). Interferon Beta and Vitamin D Synergize to Induce Immunoregulatory Receptors on Peripheral Blood Monocytes of Multiple Sclerosis Patients. PLoS ONE. 9(12). e115488–e115488. 39 indexed citations
5.
Chen, Ling, Zheng Xu, Christopher Chang, et al.. (2013). Allospecific CD8 T suppressor cells induced by multiple MLC stimulation or priming in the presence of ILT3.Fc have similar gene expression profiles. Human Immunology. 75(2). 190–196. 9 indexed citations
6.
Vlad, George & Nicole Suciu‐Foca. (2012). Induction of antigen-specific human T suppressor cells by membrane and soluble ILT3. Experimental and Molecular Pathology. 93(3). 294–301. 24 indexed citations
7.
Ho, Eric K., Elena R. Vasilescu, George Vlad, et al.. (2011). HLA antibodies in pediatric heart transplantation. Pediatric Transplantation. 15(5). 458–464. 18 indexed citations
8.
Ho, Eric K., George Vlad, Elena R. Vasilescu, et al.. (2010). Pre- and posttransplantation allosensitization in heart allograft recipients: Major impact of de novo alloantibody production on allograft survival. Human Immunology. 72(1). 5–10. 95 indexed citations
9.
Chang, Chih‐Chao, Zhuoru Liu, George Vlad, et al.. (2009). Ig-Like Transcript 3 Regulates Expression of Proinflammatory Cytokines and Migration of Activated T Cells. The Journal of Immunology. 182(9). 5208–5216. 47 indexed citations
10.
Vlad, George, Michael B. Stokes, Zhuoru Liu, et al.. (2009). Suppression of xenogeneic graft-versus-host disease by treatment with immunoglobulin-like transcript 3-Fc. Human Immunology. 70(9). 663–669. 19 indexed citations
11.
Ho, Eric K., George Vlad, Adriana I. Colovai, et al.. (2009). Alloantibodies in heart transplantation. Human Immunology. 70(10). 825–829. 49 indexed citations
12.
Qin, Haiyan, George Vlad, Raffaello Cortesini, Nicole Suciu‐Foca, & John S. Manavalan. (2008). CD8+ suppressor and cytotoxic T cells recognize the same human leukocyte antigen-A2 restricted cytomegalovirus peptide. Human Immunology. 69(11). 776–780. 9 indexed citations
13.
Chang, Chih‐Chao, et al.. (2008). Polymorphism and linkage disequilibrium of immunoglobulin-like transcript 3 gene. Human Immunology. 69(4-5). 284–290. 11 indexed citations
14.
Kim‐Schulze, Seunghee, Luigi Scotto, George Vlad, et al.. (2006). Recombinant Ig-Like Transcript 3-Fc Modulates T Cell Responses via Induction of Th Anergy and Differentiation of CD8+ T Suppressor Cells. The Journal of Immunology. 176(5). 2790–2798. 80 indexed citations
15.
Vlad, George, Raffaello Cortesini, & Nicole Suciu‐Foca. (2005). License to Heal: Bidirectional Interaction of Antigen-Specific Regulatory T Cells and Tolerogenic APC. The Journal of Immunology. 174(10). 5907–5914. 125 indexed citations
16.
17.
Colovai, Adriana I., John S. Manavalan, Sara Galluzzo, et al.. (2004). Role of regulatory and suppressor T-cells in the induction of ILT3+ ILT4+ tolerogenic endothelial cells in organ allografts. Transplant Immunology. 13(2). 73–82. 12 indexed citations
18.
Liu, Zhuoru, Piotr Witkowski, George Vlad, et al.. (2004). Rat CD8+ FOXP3+ T suppressor cells mediate tolerance to allogeneic heart transplants, inducing PIR-B in APC and rendering the graft invulnerable to rejection. Transplant Immunology. 13(4). 239–247. 89 indexed citations
19.
Vlad, George, Flavia Piazza, Adriana I. Colovai, et al.. (2003). Interleukin-10 induces the upregulation of the inhibitory receptor ILT4 in monocytes from HIV positive individuals. Human Immunology. 64(5). 483–489. 66 indexed citations
20.
Colovai, Adriana I., Mansoor Raza Mirza, George Vlad, et al.. (2002). Regulatory CD8+CD28− T cells in heart transplant recipients. Human Immunology. 64(1). 31–37. 97 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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