Eva Hug

913 total citations
9 papers, 446 citations indexed

About

Eva Hug is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Eva Hug has authored 9 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Eva Hug's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and FOXO transcription factor regulation (2 papers). Eva Hug is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and FOXO transcription factor regulation (2 papers). Eva Hug collaborates with scholars based in Germany, Austria and United States. Eva Hug's co-authors include Hassan Jumaa, Sonja Meixlsperger, Michael Reth, Sebastian Herzog, Elias Hobeika, Ji-Hye Paik, Ronald A. DePinho, Fabian Köhler, Thomas Wossning and Hedda Wardemann and has published in prestigious journals such as The Journal of Experimental Medicine, Immunity and Nature Immunology.

In The Last Decade

Eva Hug

9 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Hug Germany 9 292 157 87 59 54 9 446
Inbal Binsky Israel 4 370 1.3× 102 0.6× 105 1.2× 44 0.7× 38 0.7× 5 501
Steve Licence United Kingdom 10 456 1.6× 127 0.8× 38 0.4× 40 0.7× 85 1.6× 11 536
Emmanuel J. Volanakis United States 9 275 0.9× 183 1.2× 54 0.6× 77 1.3× 15 0.3× 15 499
Nurit Harpaz Israel 6 337 1.2× 87 0.6× 53 0.6× 38 0.6× 44 0.8× 7 460
Katarina Dahlenborg Sweden 11 273 0.9× 168 1.1× 136 1.6× 49 0.8× 30 0.6× 13 523
K.‐P. Nera Finland 10 272 0.9× 141 0.9× 46 0.5× 41 0.7× 14 0.3× 16 422
Qiang Fang China 6 215 0.7× 99 0.6× 24 0.3× 45 0.8× 29 0.5× 14 382
Dorottya Kövesdi Hungary 12 400 1.4× 208 1.3× 72 0.8× 18 0.3× 57 1.1× 24 563
Antje van Lessen Germany 10 169 0.6× 101 0.6× 42 0.5× 78 1.3× 31 0.6× 18 322
G. García-Manero United States 8 104 0.4× 111 0.7× 162 1.9× 139 2.4× 23 0.4× 24 329

Countries citing papers authored by Eva Hug

Since Specialization
Citations

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

Fields of papers citing papers by Eva Hug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Hug

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

All Works

9 of 9 papers shown
1.
Nivarthi, Harini, Andrea Majoros, Eva Hug, et al.. (2021). Hematopoietic expression of a chimeric murine‐human CALR oncoprotein allows the assessment of anti‐CALR antibody immunotherapies in vivo. American Journal of Hematology. 96(6). 698–707. 8 indexed citations
2.
Balligand, Thomas, Younès Achouri, C. Pecquet, et al.. (2019). Knock-in of murine Calr del52 induces essential thrombocythemia with slow-rising dominance in mice and reveals key role of Calr exon 9 in cardiac development. Leukemia. 34(2). 510–521. 32 indexed citations
3.
Hug, Eva, et al.. (2018). PI3K-Mediated Blimp-1 Activation Controls B Cell Selection and Homeostasis. Cell Reports. 24(2). 391–405. 26 indexed citations
4.
Übelhart, Rudolf, Eva Hug, Michael Bach, et al.. (2015). Responsiveness of B cells is regulated by the hinge region of IgD. Nature Immunology. 16(5). 534–543. 92 indexed citations
5.
Hug, Eva, Elias Hobeika, Michael Reth, & Hassan Jumaa. (2013). Inducible expression of hyperactive Syk in B cells activates Blimp-1-dependent terminal differentiation. Oncogene. 33(28). 3730–3741. 16 indexed citations
6.
Bach, Michael, Eva Hug, Markus Werner, et al.. (2013). Premature Terminal Differentiation Protects from Deregulated Lymphocyte Activation by ITK-Syk. The Journal of Immunology. 192(3). 1024–1033. 10 indexed citations
7.
Werner, Markus, Eva Hug, Sebastian Herzog, et al.. (2012). FoxO1 induces Ikaros splicing to promote immunoglobulin gene recombination. The Journal of Experimental Medicine. 209(2). 395–406. 48 indexed citations
8.
Köhler, Fabian, Eva Hug, Sonja Meixlsperger, et al.. (2008). Autoreactive B Cell Receptors Mimic Autonomous Pre-B Cell Receptor Signaling and Induce Proliferation of Early B Cells. Immunity. 29(6). 912–921. 91 indexed citations
9.
Herzog, Sebastian, Eva Hug, Sonja Meixlsperger, et al.. (2008). SLP-65 regulates immunoglobulin light chain gene recombination through the PI(3)K-PKB-Foxo pathway. Nature Immunology. 9(6). 623–631. 123 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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