Evi Horn

480 total citations
8 papers, 403 citations indexed

About

Evi Horn is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Evi Horn has authored 8 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Evi Horn's work include Adenosine and Purinergic Signaling (2 papers), Macrophage Migration Inhibitory Factor (1 paper) and MicroRNA in disease regulation (1 paper). Evi Horn is often cited by papers focused on Adenosine and Purinergic Signaling (2 papers), Macrophage Migration Inhibitory Factor (1 paper) and MicroRNA in disease regulation (1 paper). Evi Horn collaborates with scholars based in Germany. Evi Horn's co-authors include J. Dietl, A Hönig, Jörg Wischhusen, Sebastian Häusler, Mathias Krockenberger, J. Engel, Markus Junker, P. Anoop Chandran, I Montalban del Barrio and Ahmed Adel Seida and has published in prestigious journals such as Cancer Research, Journal of Leukocyte Biology and Journal of Immunological Methods.

In The Last Decade

Evi Horn

8 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Evi Horn Germany	7	163	156	153	104	96	8	403
Emilie Laprévotte France	9	188 1.2×	283 1.8×	347 2.3×	116 1.1×	109 1.1×	13	648
Roland Stein Germany	11	105 0.6×	278 1.8×	167 1.1×	103 1.0×	114 1.2×	17	475
Sabrina Bossio Italy	11	207 1.3×	251 1.6×	292 1.9×	74 0.7×	72 0.8×	30	601
Siguang Xu China	11	341 2.1×	116 0.7×	53 0.3×	105 1.0×	47 0.5×	13	496
Jolanta Szade Poland	12	143 0.9×	266 1.7×	49 0.3×	151 1.5×	56 0.6×	32	406
Srimathi Srinivasan United States	9	208 1.3×	160 1.0×	93 0.6×	61 0.6×	22 0.2×	15	408
Céline Rodriguez France	8	134 0.8×	195 1.3×	220 1.4×	77 0.7×	17 0.2×	14	489
Kyle B. Lupo United States	9	99 0.6×	380 2.4×	448 2.9×	52 0.5×	65 0.7×	12	584
Patricia S. Hähnel Germany	10	297 1.8×	152 1.0×	69 0.5×	58 0.6×	13 0.1×	13	513
Anastasia L. Berg United States	8	263 1.6×	76 0.5×	60 0.4×	128 1.2×	13 0.1×	11	468

Countries citing papers authored by Evi Horn

Since Specialization

Citations

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

Fields of papers citing papers by Evi Horn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evi Horn

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

All Works

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8 of 8 papers shown

Stein, Roland, Stefan Ebert, Claus Jürgen Scholz, et al.. (2019). Cognate Nonlytic Interactions between CD8+ T Cells and Breast Cancer Cells Induce Cancer Stem Cell–like Properties. Cancer Research. 79(7). 1507–1519. 38 indexed citations

Bruttel, Valentin, Roland Stein, Evi Horn, et al.. (2014). Targeting of preexisting and induced breast cancer stem cells with trastuzumab and trastuzumab emtansine (T-DM1). Cell Death and Disease. 5(3). e1149–e1149. 56 indexed citations

Chandran, P. Anoop, Andreas Keller, Lasse Weinmann, et al.. (2014). The TGF-β-inducible miR-23a cluster attenuates IFN-γ levels and antigen-specific cytotoxicity in human CD8+ T cells. Journal of Leukocyte Biology. 96(4). 633–645. 38 indexed citations

Krockenberger, Mathias, Peter Kranke, Sebastian Häusler, et al.. (2012). Macrophage migration-inhibitory factor levels in serum of patients with ovarian cancer correlates with poor prognosis.. PubMed. 32(12). 5233–8. 28 indexed citations

Häusler, Sebastian, I Montalban del Barrio, P. Anoop Chandran, et al.. (2011). Ectonucleotidases CD39 and CD73 on OvCA cells are potent adenosine-generating enzymes responsible for adenosine receptor 2A-dependent suppression of T cell function and NK cell cytotoxicity. Cancer Immunology Immunotherapy. 60(10). 1405–1418. 153 indexed citations

Engel, J., Sebastian Häusler, Mathias Krockenberger, et al.. (2010). Induction of programmed cell death by inhibition of AKT with the alkylphosphocholine perifosine in in vitro models of platinum sensitive and resistant ovarian cancers. Archives of Gynecology and Obstetrics. 283(3). 603–610. 23 indexed citations

Häusler, Sebastian, et al.. (2010). A cell-based luciferase-dependent assay for the quantitative determination of free extracellular adenosine with paracrine signaling activity. Journal of Immunological Methods. 361(1-2). 51–56. 4 indexed citations

Krockenberger, Mathias, A Hönig, Lorenz Rieger, et al.. (2007). Transketolase-like 1 expression correlates with subtypes of ovarian cancer and the presence of distant metastases. International Journal of Gynecological Cancer. 17(1). 101–106. 63 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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