Markus Junker

777 total citations
8 papers, 633 citations indexed

About

Markus Junker is a scholar working on Immunology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Markus Junker has authored 8 papers receiving a total of 633 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 Cellular and Molecular Neuroscience. Recurrent topics in Markus Junker's work include Immune cells in cancer (2 papers), MicroRNA in disease regulation (2 papers) and Adenosine and Purinergic Signaling (1 paper). Markus Junker is often cited by papers focused on Immune cells in cancer (2 papers), MicroRNA in disease regulation (2 papers) and Adenosine and Purinergic Signaling (1 paper). Markus Junker collaborates with scholars based in Germany, Australia and United States. Markus Junker's co-authors include Jörg Wischhusen, Dagmar Beier, Christoph P. Beier, Katharina Meyer, Praveen Kumar, Peter J. Oefner, Johannes Schwarz, Claudio Lottaz, Alexander Storch and Rainer Spang and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and Developmental Biology.

In The Last Decade

Markus Junker

8 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Junker Germany	6	252	228	211	154	146	8	633
Ling Bei United States	17	441 1.8×	180 0.8×	100 0.5×	80 0.5×	67 0.5×	29	665
Melissa Stafford United States	10	305 1.2×	93 0.4×	117 0.6×	100 0.6×	87 0.6×	11	610
Maria Cristina Picchio Italy	12	500 2.0×	306 1.3×	252 1.2×	135 0.9×	43 0.3×	15	1.0k
Francesca Pantaleoni Italy	19	794 3.2×	603 2.6×	425 2.0×	74 0.5×	81 0.6×	29	1.3k
Greg Coffey United States	17	395 1.6×	385 1.7×	220 1.0×	31 0.2×	356 2.4×	44	1.0k
Lucinda F. Reynolds United States	7	392 1.6×	457 2.0×	173 0.8×	110 0.7×	42 0.3×	8	827
Anatoliy Koval United States	7	501 2.0×	420 1.8×	168 0.8×	80 0.5×	418 2.9×	8	999
Stephanie Lerach United States	9	901 3.6×	172 0.8×	310 1.5×	154 1.0×	203 1.4×	13	1.5k
Masaki Morishige Japan	10	436 1.7×	87 0.4×	132 0.6×	96 0.6×	18 0.1×	21	722
Barbara Ortensi Italy	9	255 1.0×	75 0.3×	167 0.8×	153 1.0×	121 0.8×	10	466

Countries citing papers authored by Markus Junker

Since Specialization

Citations

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

Fields of papers citing papers by Markus Junker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Junker

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Junker. A scholar is included among the top collaborators of Markus Junker 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 Markus Junker. Markus Junker 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

Bartmann, Catharina, Markus Junker, Sabine Segerer, et al.. (2016). CD33⁺/HLA‐DR^neg and CD33⁺/HLA‐DR^+/− Cells: Rare Populations in the Human Decidua with Characteristics of MDSC. American Journal of Reproductive Immunology. 75(5). 539–556. 30 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

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

Lottaz, Claudio, Dagmar Beier, Katharina Meyer, et al.. (2010). Transcriptional Profiles of CD133+ and CD133− Glioblastoma-Derived Cancer Stem Cell Lines Suggest Different Cells of Origin. Cancer Research. 70(5). 2030–2040. 207 indexed citations

Ngo, Kathy, Jay Wang, Markus Junker, et al.. (2010). Concomitant requirement for Notch and Jak/Stat signaling during neuro-epithelial differentiation in the Drosophila optic lobe. Developmental Biology. 346(2). 284–295. 61 indexed citations

Roth, Patrick, Markus Junker, Isabel Tritschler, et al.. (2010). GDF-15 Contributes to Proliferation and Immune Escape of Malignant Gliomas. Clinical Cancer Research. 16(15). 3851–3859. 139 indexed citations

Heilig, B., et al.. (1988). Development of Immunoradiometric Assays for Human Thyroglobulin Using Monoclonal Antibodies and the Biotin/Avidin System. Clinical Chemistry and Laboratory Medicine (CCLM). 26(7). 3 indexed citations

Junker, Markus, et al.. (1985). [ELISA detection of protamine antibodies].. PubMed. 13(2). 80–2. 2 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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