Mark A. Hauser

624 total citations
9 papers, 468 citations indexed

About

Mark A. Hauser is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Mark A. Hauser has authored 9 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Mark A. Hauser's work include Chemokine receptors and signaling (7 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (6 papers). Mark A. Hauser is often cited by papers focused on Chemokine receptors and signaling (7 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (6 papers). Mark A. Hauser collaborates with scholars based in Switzerland, Germany and Israel. Mark A. Hauser's co-authors include Daniel F. Legler, Karin Schaeuble, Edith Uetz‐von Allmen, Wolfgang A. Krueger, Marcus Groettrup, Julia M. Laufer, Daniela Impellizzieri, Christof R. Hauck, Onur Boyman and Anne‐Katrin Späte and has published in prestigious journals such as Immunity, The Journal of Immunology and Journal of Cell Science.

In The Last Decade

Mark A. Hauser

9 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark A. Hauser Switzerland	8	271	232	179	51	44	9	468
Florie Bertrand France	7	342 1.3×	314 1.4×	145 0.8×	44 0.9×	22 0.5×	10	560
Stéphane Bécart United States	16	387 1.4×	155 0.7×	182 1.0×	25 0.5×	52 1.2×	21	588
Karen E. Strunk United States	10	215 0.8×	219 0.9×	339 1.9×	33 0.6×	33 0.8×	11	657
Rotem Feniger-Barish Israel	10	259 1.0×	274 1.2×	168 0.9×	29 0.6×	68 1.5×	10	493
Giulia Chiaruttini United Kingdom	7	203 0.7×	166 0.7×	188 1.1×	56 1.1×	14 0.3×	10	446
Neetha Parameswaran United States	14	189 0.7×	225 1.0×	276 1.5×	50 1.0×	64 1.5×	23	562
Ann J. Canonigo-Balancio United States	11	372 1.4×	180 0.8×	194 1.1×	25 0.5×	29 0.7×	17	542
Alexandra Treschow Sweden	9	233 0.9×	139 0.6×	133 0.7×	13 0.3×	35 0.8×	12	470
Masaharu Hatakeyama Japan	15	452 1.7×	183 0.8×	155 0.9×	16 0.3×	33 0.8×	24	634
Shane Foo United Kingdom	7	241 0.9×	195 0.8×	228 1.3×	17 0.3×	55 1.3×	12	508

Countries citing papers authored by Mark A. Hauser

Since Specialization

Citations

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

Fields of papers citing papers by Mark A. Hauser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Hauser. 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 Mark A. Hauser. The network helps show where Mark A. Hauser may publish in the future.

Co-authorship network of co-authors of Mark A. Hauser

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

All Works

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9 of 9 papers shown

Laufer, Julia M., et al.. (2019). Chemokine Receptor CCR7 Triggers an Endomembrane Signaling Complex for Spatial Rac Activation. Cell Reports. 29(4). 995–1009.e6. 23 indexed citations

Hauser, Mark A., Karin Schaeuble, Daniela Impellizzieri, et al.. (2016). Inflammation-Induced CCR7 Oligomers Form Scaffolds to Integrate Distinct Signaling Pathways for Efficient Cell Migration. Immunity. 44(1). 59–72. 73 indexed citations

Hauser, Mark A., Julia M. Laufer, Anne‐Katrin Späte, et al.. (2016). Distinct CCR7 glycosylation pattern shapes receptor signaling and endocytosis to modulate chemotactic responses. Journal of Leukocyte Biology. 99(6). 993–1007. 62 indexed citations

Hauser, Mark A. & Daniel F. Legler. (2016). Common and biased signaling pathways of the chemokine receptor CCR7 elicited by its ligands CCL19 and CCL21 in leukocytes. Journal of Leukocyte Biology. 99(6). 869–882. 140 indexed citations

Hauser, Mark A., et al.. (2015). In vivo TCR Signaling in CD4+ T Cells Imprints a Cell-Intrinsic, Transient Low-Motility Pattern Independent of Chemokine Receptor Expression Levels, or Microtubular Network, Integrin, and Protein Kinase C Activity. Frontiers in Immunology. 6. 297–297. 6 indexed citations

Legler, Daniel F., Edith Uetz‐von Allmen, & Mark A. Hauser. (2014). CCR7: Roles in cancer cell dissemination, migration and metastasis formation. The International Journal of Biochemistry & Cell Biology. 54. 78–82. 61 indexed citations

Reiterer, Veronika, Francesco Baschieri, Júlia Hoffmann, et al.. (2014). Regulation of Sec16 levels and dynamics links proliferation and secretion. Journal of Cell Science. 128(4). 670–82. 32 indexed citations

Schaeuble, Karin, Mark A. Hauser, Roland Bruderer, et al.. (2012). Ubiquitylation of the chemokine receptor CCR7 enables efficient receptor recycling and cell migration. Journal of Cell Science. 125(Pt 19). 4463–74. 41 indexed citations

Schaeuble, Karin, Mark A. Hauser, Eva Singer, Marcus Groettrup, & Daniel F. Legler. (2011). Cross-Talk Between TCR and CCR7 Signaling Sets a Temporal Threshold for Enhanced T Lymphocyte Migration. The Journal of Immunology. 187(11). 5645–5652. 30 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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