Gabriele Blahnik

737 total citations
10 papers, 601 citations indexed

About

Gabriele Blahnik is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Gabriele Blahnik has authored 10 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 3 papers in Infectious Diseases and 3 papers in Molecular Biology. Recurrent topics in Gabriele Blahnik's work include Immune Cell Function and Interaction (5 papers), CAR-T cell therapy research (3 papers) and Viral Infections and Vectors (3 papers). Gabriele Blahnik is often cited by papers focused on Immune Cell Function and Interaction (5 papers), CAR-T cell therapy research (3 papers) and Viral Infections and Vectors (3 papers). Gabriele Blahnik collaborates with scholars based in United States and Australia. Gabriele Blahnik's co-authors include Mehul S. Suthar, Margaret M. Brassil, Michael Gale, Hilario J. Ramos, Marion C. Lanteri, Piper M. Treuting, Aimee McMillan, Eddie A. James, Amina Negash and Michael P. Busch and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Immunity.

In The Last Decade

Gabriele Blahnik

9 papers receiving 596 citations

Peers

Gabriele Blahnik

IMMUN

ID

PHEOH

MB

GENET

Maria Rosaria Bassi Denmark

Rafael Fenutría United States

Vivienne B. Gibson United Kingdom

Simon Forehan Australia

Robert A. Bonnah United States

Xin‐Xin Yu China

Maria L. Mouchess United States

Pascal Chappert France

Mark Pierson United States

Maria Rosaria Bassi Denmark

Gabriele Blahnik

87 ×0.3

IMMUN

137 ×0.8

ID

157 ×0.9

PHEOH

196 ×1.2

MB

111 ×0.9

GENET

Citations per year, relative to Gabriele Blahnik Gabriele Blahnik (= 1×) peers Maria Rosaria Bassi

Countries citing papers authored by Gabriele Blahnik

Since Specialization

Citations

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

Fields of papers citing papers by Gabriele Blahnik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Blahnik

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

All Works

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10 of 10 papers shown

1.

Wiedeman, Alice, Mario G. Rosasco, Hannah A. DeBerg, et al.. (2019). Autoreactive CD8+ T cell exhaustion distinguishes subjects with slow type 1 diabetes progression. Journal of Clinical Investigation. 130(1). 480–490. 125 indexed citations

2.

Blahnik, Gabriele, Hannes Uchtenhagen, I‐Ting Chow, et al.. (2018). Analysis of pancreatic beta cell specific CD4+ T cells reveals a predominance of proinsulin specific cells. Cellular Immunology. 335. 68–75. 12 indexed citations

3.

Blahnik, Gabriele, Thomas Lee, Eddie A. James, et al.. (2017). Streamlined Single Cell TCR Isolation and Generation of Retroviral Vectors for In Vitro and In Vivo Expression of Human TCRs. Journal of Visualized Experiments. 2 indexed citations

4.

Blahnik, Gabriele, Thomas Lee, Eddie A. James, et al.. (2017). Streamlined Single Cell TCR Isolation and Generation of Retroviral Vectors for In Vitro and In Vivo Expression of Human TCRs. Journal of Visualized Experiments.

5.

Blahnik, Gabriele, Thomas Lee, Eddie A. James, et al.. (2016). Rapid identification and expression of human TCRs in retrogenic mice. Journal of Immunological Methods. 439. 29–36. 7 indexed citations

6.

Uchtenhagen, Hannes, Cliff Rims, Gabriele Blahnik, et al.. (2016). Efficient ex vivo analysis of CD4+ T-cell responses using combinatorial HLA class II tetramer staining. Nature Communications. 7(1). 12614–12614. 52 indexed citations

7.

Suthar, Mehul S., Margaret M. Brassil, Gabriele Blahnik, et al.. (2013). A Systems Biology Approach Reveals that Tissue Tropism to West Nile Virus Is Regulated by Antiviral Genes and Innate Immune Cellular Processes. PLoS Pathogens. 9(2). e1003168–e1003168. 73 indexed citations

8.

Suthar, Mehul S., Hilario J. Ramos, Margaret M. Brassil, et al.. (2012). The RIG-I-like Receptor LGP2 Controls CD8+ T Cell Survival and Fitness. Immunity. 37(2). 235–248. 108 indexed citations

9.

Ramos, Hilario J., Marion C. Lanteri, Gabriele Blahnik, et al.. (2012). IL-1β Signaling Promotes CNS-Intrinsic Immune Control of West Nile Virus Infection. PLoS Pathogens. 8(11). e1003039–e1003039. 197 indexed citations

10.

Suthar, Mehul S., Margaret M. Brassil, Gabriele Blahnik, & Michael Gale. (2012). Infectious Clones of Novel Lineage 1 and Lineage 2 West Nile Virus Strains WNV-TX02 and WNV-Madagascar. Journal of Virology. 86(14). 7704–7709. 25 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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