Elmar Endl

6.7k total citations
75 papers, 4.9k citations indexed

About

Elmar Endl is a scholar working on Molecular Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, Elmar Endl has authored 75 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 17 papers in Immunology and 9 papers in Biomedical Engineering. Recurrent topics in Elmar Endl's work include Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (7 papers) and T-cell and B-cell Immunology (7 papers). Elmar Endl is often cited by papers focused on Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (7 papers) and T-cell and B-cell Immunology (7 papers). Elmar Endl collaborates with scholars based in Germany, United States and Japan. Elmar Endl's co-authors include Johannes Gerdes, Percy A. Knolle, Andreas Dolf, Joachim L. Schultze, Marc Beyer, Matthias Kochanek, Michael Famulok, Günter Mayer, Dhruv Chauhan and Julia Reinhardt and has published in prestigious journals such as Nature, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Elmar Endl

74 papers receiving 4.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elmar Endl Germany 37 2.7k 1.2k 738 579 452 75 4.9k
Michael C. Brown United States 46 3.7k 1.4× 1.3k 1.0× 867 1.2× 369 0.6× 375 0.8× 160 8.2k
William B. Kiosses United States 48 4.2k 1.6× 1.5k 1.3× 666 0.9× 788 1.4× 362 0.8× 106 8.5k
Joseph C. Loftus United States 42 3.1k 1.1× 1.0k 0.9× 833 1.1× 1.1k 1.9× 534 1.2× 89 7.8k
Frank N. van Leeuwen Netherlands 45 3.3k 1.2× 792 0.7× 593 0.8× 480 0.8× 193 0.4× 112 6.7k
Paola Defilippi Italy 41 3.8k 1.4× 1.0k 0.8× 1.3k 1.7× 945 1.6× 261 0.6× 106 6.8k
Erhard Hohenester United Kingdom 54 4.3k 1.6× 883 0.7× 780 1.1× 1.1k 1.9× 327 0.7× 97 8.2k
Carlos Cabañas Spain 43 2.7k 1.0× 2.1k 1.8× 887 1.2× 1.0k 1.7× 271 0.6× 101 6.2k
Carien M. Niessen Germany 45 4.1k 1.5× 536 0.4× 664 0.9× 353 0.6× 487 1.1× 101 7.9k
Carlo Tacchetti Italy 49 5.2k 1.9× 802 0.7× 1.1k 1.5× 859 1.5× 210 0.5× 122 8.6k
Yi Tang China 41 3.2k 1.2× 493 0.4× 1.3k 1.8× 670 1.2× 529 1.2× 132 5.7k

Countries citing papers authored by Elmar Endl

Since Specialization
Citations

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

Fields of papers citing papers by Elmar Endl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elmar Endl

This figure shows the co-authorship network connecting the top 25 collaborators of Elmar Endl. A scholar is included among the top collaborators of Elmar Endl 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 Elmar Endl. Elmar Endl 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.
Eichhorn, Lars, Peter Wurst, Annkristin Heine, et al.. (2019). Optimized Ki-67 staining in murine cells: a tool to determine cell proliferation. Molecular Biology Reports. 46(4). 4631–4643. 39 indexed citations
2.
Rahmanzadeh, Ramtin, et al.. (2018). siRNA release from gold nanoparticles by nanosecond pulsed laser irradiation and analysis of the involved temperature increase. Journal of Biophotonics. 11(9). e201700329–e201700329. 5 indexed citations
3.
Felsberg, Jörg, Anke Waha, Wolfgang Hartmann, et al.. (2012). RANK (TNFRSF11A) Is Epigenetically Inactivated and Induces Apoptosis in Gliomas. Neoplasia. 14(6). 526–IN12. 22 indexed citations
4.
Rahmanzadeh, Ramtin, et al.. (2012). Bleaching of plasmon-resonance absorption of gold nanorods decreases efficiency of cell destruction. Journal of Biomedical Optics. 17(5). 58003–58003. 15 indexed citations
5.
Waha, Anke, Jörg Felsberg, Wolfgang Hartmann, et al.. (2010). Epigenetic Downregulation of Mitogen-Activated Protein Kinase Phosphatase MKP-2 Relieves Its Growth Suppressive Activity in Glioma Cells. Cancer Research. 70(4). 1689–1699. 67 indexed citations
6.
Eter, Nicole, et al.. (2010). Laser-Activated Gold-Nanoparticles as a Potential New Treatment Modality for Exudative Age-Related Macular Degeneration. Investigative Ophthalmology & Visual Science. 51(13). 2982–2982. 2 indexed citations
7.
Mayer, Günter, et al.. (2010). Fluorescence-activated cell sorting for aptamer SELEX with cell mixtures. Nature Protocols. 5(12). 1993–2004. 182 indexed citations
8.
Hartmann, Wolfgang, Jan Küchler, Arend Koch, et al.. (2009). Activation of Phosphatidylinositol-3′-kinase/AKT Signaling Is Essential in Hepatoblastoma Survival. Clinical Cancer Research. 15(14). 4538–4545. 67 indexed citations
9.
Takahara, Hiroyuki, Andreas Dolf, Elmar Endl, & Richard J. O’Connell. (2009). Flow cytometric purification ofColletotrichum higginsianumbiotrophic hyphae from Arabidopsis leaves for stage‐specific transcriptome analysis. The Plant Journal. 59(4). 672–683. 33 indexed citations
10.
Li, Tongju, et al.. (2009). α-ENaC is a functional element of the hypertonicity-induced cation channel in HepG2 cells and it mediates proliferation. Pflügers Archiv - European Journal of Physiology. 458(4). 675–687. 44 indexed citations
11.
Stabenow, Dirk, Christoph Linnemann, Anna Schurich, et al.. (2008). Adenosine regulates CD8 T cell priming by inhibition of membrane-proximal T cell receptor signaling. UCL Discovery (University College London). 1 indexed citations
12.
Topka, Sabine, Simon Anders, Gunnar Weisheit, et al.. (2008). Basic molecular fingerprinting of immature cerebellar cortical inhibitory interneurons and their precursors. Neuroscience. 159(1). 69–82. 16 indexed citations
13.
Fernandez‐Ruiz, Daniel, Bettina Dubben, Michael Saeftel, et al.. (2008). Filarial infection induces protection against P. berghei liver stages in mice. Microbes and Infection. 11(2). 172–180. 21 indexed citations
14.
Dolf, Andreas, et al.. (2008). Enrichment of Cell‐Targeting and Population‐Specific Aptamers by Fluorescence‐Activated Cell Sorting. Angewandte Chemie International Edition. 47(28). 5190–5193. 146 indexed citations
15.
Nowack, Moritz K., Nico Dißmeyer, Andreas Dolf, et al.. (2007). Bypassing genomic imprinting allows seed development. Nature. 447(7142). 312–315. 86 indexed citations
16.
Wehner, Frank, et al.. (2006). Hypertonicity‐induced cation channels. Acta Physiologica. 187(1-2). 21–25. 34 indexed citations
17.
18.
Traut, Walther, Elmar Endl, Silvia Garagna, et al.. (2002). Chromatin preferences of the perichromosomal layer constituent pKi-67. Chromosome Research. 10(8). 685–694. 6 indexed citations
19.
Traut, Walther, Elmar Endl, Thomas Scholzen, Johannes Gerdes, & Heinz Winking. (2002). The temporal and spatial distribution of the proliferation associated Ki-67 protein during female and male meiosis. Chromosoma. 111(3). 156–164. 26 indexed citations
20.
Endl, Elmar, Christiane Hollmann, & Johannes Gerdes. (2001). Chapter 18 Antibodies against the Ki-67 protein: Assessment of the growth fraction and tools for cell cycle analysis. Methods in cell biology. 63. 399–418. 37 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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