Andrea Imle

908 total citations · 1 hit paper
17 papers, 571 citations indexed

About

Andrea Imle is a scholar working on Immunology, Virology and Molecular Biology. According to data from OpenAlex, Andrea Imle has authored 17 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Virology and 4 papers in Molecular Biology. Recurrent topics in Andrea Imle's work include HIV Research and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Immunotherapy and Immune Responses (3 papers). Andrea Imle is often cited by papers focused on HIV Research and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Immunotherapy and Immune Responses (3 papers). Andrea Imle collaborates with scholars based in Germany, United States and Netherlands. Andrea Imle's co-authors include O. Fackler, Naita M. Wirsik, Thomas Schmidt, Alba Diz-Muñoz, Aı̈da Valls, Carmen Ruiz de Almodóvar, Xiaohong Wang, Thomas Muley, Ying Shen and Martin Schneider and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Andrea Imle

15 papers receiving 571 citations

Hit Papers

Reduction of Liver Metastasis Stiffness Improves Response... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Imle Germany 11 166 149 144 142 114 17 571
Vincent Dussupt United States 15 330 2.0× 124 0.8× 227 1.6× 118 0.8× 119 1.0× 23 693
Frank Wegmann Netherlands 13 298 1.8× 269 1.8× 82 0.6× 69 0.5× 60 0.5× 27 722
Paola Sette United States 14 283 1.7× 224 1.5× 248 1.7× 111 0.8× 118 1.0× 25 712
Bhuvaneshwari Mahalingam United States 9 361 2.2× 129 0.9× 343 2.4× 62 0.4× 96 0.8× 9 917
Rafael Núñez United States 14 291 1.8× 243 1.6× 111 0.8× 124 0.9× 22 0.2× 40 748
Franceline Juillard United States 12 243 1.5× 66 0.4× 69 0.5× 166 1.2× 20 0.2× 24 496
Michael G. Overstreet United States 15 217 1.3× 585 3.9× 69 0.5× 107 0.8× 43 0.4× 26 1.0k
Marie-Ming Aynaud France 9 467 2.8× 121 0.8× 127 0.9× 134 0.9× 23 0.2× 9 717
Claire Lastrucci France 12 192 1.2× 272 1.8× 25 0.2× 62 0.4× 63 0.6× 12 523
Qianting Zhai United States 8 534 3.2× 282 1.9× 261 1.8× 183 1.3× 241 2.1× 9 1.1k

Countries citing papers authored by Andrea Imle

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Imle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Imle

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Imle. A scholar is included among the top collaborators of Andrea Imle 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 Andrea Imle. Andrea Imle 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.
Imle, Andrea, Andreea Ioan‐Facsinay, Maren Köhne, et al.. (2024). 731 The combination of an EpCAMx4–1BB bispecific antibody with PD-1 blockade potentiates single-agent effects on T-cell functions and enhances antitumor activity in preclinical studies. Regular and Young Investigator Award Abstracts. A833–A833.
2.
Ioan‐Facsinay, Andreea, Andrea Imle, Lars Guelen, et al.. (2023). 1072P DuoBody-EpCAMx4-1BB mediates conditional T cell co-stimulation and promotes antitumor activity in preclinical models. Annals of Oncology. 34. S645–S646.
3.
Imle, Andrea, Aras Toker, Kristin Strumane, et al.. (2022). 1070 HexaBody-CD27 enhances T-cell activation, proliferation, cytokine secretion and cytotoxic activity independently of Fc gamma receptor-mediated crosslinking. Regular and Young Investigator Award Abstracts. A1112–A1112. 1 indexed citations
4.
Ritter, Christian, Thomas Wollmann, Andrea Imle, et al.. (2021). Data fusion and smoothing for probabilistic tracking of viral structures in fluorescence microscopy images. Medical Image Analysis. 73. 102168–102168. 10 indexed citations
5.
Shen, Ying, Xiaohong Wang, Junyan Lu, et al.. (2020). Reduction of Liver Metastasis Stiffness Improves Response to Bevacizumab in Metastatic Colorectal Cancer. Cancer Cell. 37(6). 800–817.e7. 236 indexed citations breakdown →
6.
Imle, Andrea, Jiyoung Lee, Bárbara Müller, et al.. (2020). A Recurrent Neural Network for Particle Tracking in Microscopy Images Using Future Information, Track Hypotheses, and Multiple Detections. IEEE Transactions on Image Processing. 29. 3681–3694. 18 indexed citations
7.
Gabel, Michael, et al.. (2019). FAMoS: A Flexible and dynamic Algorithm for Model Selection to analyse complex systems dynamics. PLoS Computational Biology. 15(8). e1007230–e1007230. 6 indexed citations
8.
Imle, Andrea, Paola Carrillo-Bustamante, Janez Aleš, et al.. (2019). Experimental and computational analyses reveal that environmental restrictions shape HIV-1 spread in 3D cultures. Nature Communications. 10(1). 51 indexed citations
9.
Stolp, Bettina, Nikolaos Tsopoulidis, Ina Ambiel, et al.. (2018). HIV-1 Nef Disrupts CD4+ T Lymphocyte Polarity, Extravasation, and Homing to Lymph Nodes via Its Nef-Associated Kinase Complex Interface. The Journal of Immunology. 201(9). 2731–2743. 11 indexed citations
10.
Ritter, Christian, Andrea Imle, Bárbara Müller, et al.. (2018). Two-filter probabilistic data association for tracking of virus particles in fluorescence microscopy images. 5 indexed citations
11.
Krüger, Timothy, Andrea Imle, Tamás Haraszti, et al.. (2018). Tailored environments to study motile cells and pathogens. Cellular Microbiology. 20(3). e12820–e12820. 23 indexed citations
12.
Imle, Andrea, et al.. (2016). D186/D190 is an allele-dependent determinant of HIV-1 Nef function. Virology. 498. 44–56. 2 indexed citations
13.
Imle, Andrea, Libin Abraham, Nikolaos Tsopoulidis, et al.. (2015). Association with PAK2 Enables Functional Interactions of Lentiviral Nef Proteins with the Exocyst Complex. mBio. 6(5). e01309–15. 24 indexed citations
14.
Fackler, O., Thomas T. Murooka, Andrea Imle, & Thorsten R. Mempel. (2014). Adding new dimensions: towards an integrative understanding of HIV-1 spread. Nature Reviews Microbiology. 12(8). 563–574. 57 indexed citations
15.
Vérollet, Christel, Shanti Souriant, Paul Jolicoeur, et al.. (2014). HIV-1 reprograms the migration of macrophages. Blood. 125(10). 1611–1622. 59 indexed citations
16.
Stolp, Bettina, Andrea Imle, Fernanda M. Coelho, et al.. (2012). HIV-1 Nef interferes with T-lymphocyte circulation through confined environments in vivo. Proceedings of the National Academy of Sciences. 109(45). 18541–18546. 53 indexed citations
17.
Imle, Andrea, Bernhard Polzer, Stephanie Alexander, Christoph A. Klein, & Peter Friedl. (2009). Genomic instability of micronucleated cells revealed by single‐cell comparative genomic hybridization. Cytometry Part A. 75A(7). 562–568. 15 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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