Julia M. Laufer

650 total citations
9 papers, 349 citations indexed

About

Julia M. Laufer is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Julia M. Laufer has authored 9 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Julia M. Laufer's work include Chemokine receptors and signaling (6 papers), Immunotherapy and Immune Responses (5 papers) and Cell Adhesion Molecules Research (3 papers). Julia M. Laufer is often cited by papers focused on Chemokine receptors and signaling (6 papers), Immunotherapy and Immune Responses (5 papers) and Cell Adhesion Molecules Research (3 papers). Julia M. Laufer collaborates with scholars based in Switzerland, Germany and France. Julia M. Laufer's co-authors include Daniel F. Legler, Jérémie Rossy, Vladimir Purvanov, Mark A. Hauser, Marcus Thelen, Wolfgang A. Krueger, Valentin Wittmann, Anne‐Katrin Späte, Ruth Lyck and Edith Uetz‐von Allmen and has published in prestigious journals such as The FASEB Journal, Frontiers in Immunology and Molecular Pharmacology.

In The Last Decade

Julia M. Laufer

9 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia M. Laufer Switzerland	9	203	146	116	37	36	9	349
Tammy P. Cheng United States	12	284 1.4×	111 0.8×	135 1.2×	31 0.8×	34 0.9×	12	521
Vibeke Sundvold‐Gjerstad Norway	13	247 1.2×	117 0.8×	272 2.3×	40 1.1×	40 1.1×	22	506
Lyndsay Avery United States	11	421 2.1×	210 1.4×	109 0.9×	22 0.6×	46 1.3×	12	579
Giulia Chiaruttini United Kingdom	7	203 1.0×	166 1.1×	188 1.6×	34 0.9×	56 1.6×	10	446
Christopher Eichman United States	10	300 1.5×	117 0.8×	187 1.6×	22 0.6×	26 0.7×	12	565
Bjoern Schuster Czechia	4	206 1.0×	185 1.3×	75 0.6×	17 0.5×	23 0.6×	9	379
Robin J. Marjoram United States	11	161 0.8×	174 1.2×	175 1.5×	29 0.8×	99 2.8×	12	465
Cristina Capuano Italy	17	527 2.6×	218 1.5×	127 1.1×	48 1.3×	44 1.2×	30	727
S. Goldberg United States	11	288 1.4×	182 1.2×	124 1.1×	63 1.7×	27 0.8×	15	439
Kamalakannan Rajasekaran United States	13	375 1.8×	192 1.3×	172 1.5×	12 0.3×	63 1.8×	15	584

Countries citing papers authored by Julia M. Laufer

Since Specialization

Citations

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

Fields of papers citing papers by Julia M. Laufer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia M. Laufer. 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 Julia M. Laufer. The network helps show where Julia M. Laufer may publish in the future.

Co-authorship network of co-authors of Julia M. Laufer

This figure shows the co-authorship network connecting the top 25 collaborators of Julia M. Laufer. A scholar is included among the top collaborators of Julia M. Laufer 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 Julia M. Laufer. Julia M. Laufer 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

Laufer, Julia M., et al.. (2019). CCR7 Is Recruited to the Immunological Synapse, Acts as Co-stimulatory Molecule and Drives LFA-1 Clustering for Efficient T Cell Adhesion Through ZAP70. Frontiers in Immunology. 9. 3115–3115. 27 indexed citations

Rossy, Jérémie, Julia M. Laufer, & Daniel F. Legler. (2018). Role of Mechanotransduction and Tension in T Cell Function. Frontiers in Immunology. 9. 2638–2638. 80 indexed citations

Laufer, Julia M. & Daniel F. Legler. (2018). Beyond migration—Chemokines in lymphocyte priming, differentiation, and modulating effector functions. Journal of Leukocyte Biology. 104(2). 301–312. 32 indexed citations

Laufer, Julia M., Ruth Lyck, & Daniel F. Legler. (2018). ZAP70 expression enhances chemokine‐driven chronic lymphocytic leukemia cell migration and arrest by valency regulation of integrins. The FASEB Journal. 32(9). 4824–4835. 15 indexed citations

Laufer, Julia M., et al.. (2018). CCL19 with CCL21-tail displays enhanced glycosaminoglycan binding with retained chemotactic potency in dendritic cells. Journal of Leukocyte Biology. 104(2). 401–411. 19 indexed citations

Legler, Daniel F., et al.. (2017). Modulation of Chemokine Receptor Function by Cholesterol: New Prospects for Pharmacological Intervention. Molecular Pharmacology. 91(4). 331–338. 34 indexed citations

Collins, Paul J., Michelle L. McCully, Laura Martínez‐Muñoz, et al.. (2017). Epithelial chemokine CXCL14 synergizes with CXCL12 via allosteric modulation of CXCR4. The FASEB Journal. 31(7). 3084–3097. 57 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

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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