Lisa Rausch

452 total citations
9 papers, 219 citations indexed

About

Lisa Rausch is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Lisa Rausch has authored 9 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Lisa Rausch's work include Immune Cell Function and Interaction (4 papers), Phagocytosis and Immune Regulation (3 papers) and Extracellular vesicles in disease (2 papers). Lisa Rausch is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Phagocytosis and Immune Regulation (3 papers) and Extracellular vesicles in disease (2 papers). Lisa Rausch collaborates with scholars based in Germany, Sweden and Netherlands. Lisa Rausch's co-authors include Jonathan M. Coquet, Thomas Brocker, Jannie Borst, Jan Kranich, Bart N. Lambrecht, Rudi W. Hendriks, Susanne Nylén, Gunilla B. Karlsson Hedestam, Leona Rohrbeck and Xiaogang Feng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Lisa Rausch

9 papers receiving 218 citations

Peers

Countries citing papers authored by Lisa Rausch

Since Specialization

Citations

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

Fields of papers citing papers by Lisa Rausch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Rausch

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

#	Work	Indexed citations
1	Phosphatidylserine-positive extracellular vesicles boost effector CD8 ⁺ T cell responses during viral infection 2023 ·Proceedings of the National Academy of Sciences ·Lisa Rausch, (unknown), (unknown), (unknown), Christine Ried, Veit R. Buchholz, Reinhard Obst, Tobias Straub, Thomas Brocker, Jan Kranich	15
2	The small molecule inhibitor BX-795 uncouples IL-2 production from inhibition of Th2 inflammation and induces CD4+ T cells resembling iTreg 2023 ·Frontiers in Immunology ·(unknown), Bernhard Kratzer, (unknown), Ursula Smole, (unknown), Lisa Rausch, Jan Kranich, Doris Trapin, Alina Neunkirchner, (unknown), Sabrina Jutz, Peter Steinberger, Gabriele Gadermaier, Thomas Brocker, Hannes Stockinger, Sophia Derdak, Winfried F. Pickl	5
3	Ly6D+Siglec-H+ precursors contribute to conventional dendritic cells via a Zbtb46+Ly6D+ intermediary stage 2022 ·Nature Communications ·(unknown), Andrea Musumeci, Christopher Sie, (unknown), Elena Winheim, Johannes Bagnoli, Christoph Ziegenhain, Lisa Rausch, Volker Bergen, Malte D. Luecken, Robert A.J. Oostendorp, Barbara U. Schraml, Fabian J. Theis, Wolfgang Enard, Thomas Korn, Anne Krug	15
4	Binding of phosphatidylserine‐positive microparticles by PBMCs classifies disease severity in COVID‐19 patients 2021 ·Journal of Extracellular Vesicles ·Lisa Rausch, (unknown), Martina Schifferer, Elena Winheim, Rudi Gruber, (unknown), (unknown), Johannes C. Hellmuth, Clemens Scherer, Maximilian Muenchhoff, (unknown), Michael S. von Bergwelt‐Baildon, Mikael Simons, Tobias Straub, Anne Krug, Jan Kranich, Thomas Brocker	26
5	In vivo identification of apoptotic and extracellular vesicle‐bound live cells using image‐based deep learning 2020 ·Journal of Extracellular Vesicles ·Jan Kranich, (unknown), Lisa Rausch, (unknown), Martina Schifferer, (unknown), Agnieszka Foltyn-Arfa Kia, Mikael Simons, Fabian J. Theis, Thomas Brocker	21
6	Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning 2020 ·Nucleic Acids Research ·(unknown), Lisa Rausch, Thomas Brocker, Jan Kranich, Fabian J. Theis	12
7	PPAR-γ promotes type 2 immune responses in allergy and nematode infection 2017 ·Science Immunology ·(unknown), Christopher A. Tibbitt, Xiaogang Feng, Julian M. Stark, Leona Rohrbeck, Lisa Rausch, Saikiran K. Sedimbi, Mikael C. I. Karlsson, Bart N. Lambrecht, Gunilla B. Karlsson Hedestam, Rudi W. Hendriks, Benedict J. Chambers, Susanne Nylén, Jonathan M. Coquet	88
8	Matched-pair analysis: identification of factors with independent influence on the development of PTLD after kidney or liver transplantation 2016 ·PubMed ·Lisa Rausch, Christian Koenecke, (unknown), Alexander Kaltenborn, Nikos Emmanouilidis, Lars Pape, Frank Lehner, (unknown), Ulrich Baumann, Harald Schrem	14
9	The importance of co‐stimulation in the orchestration of T helper cell differentiation 2015 ·Immunology and Cell Biology ·Jonathan M. Coquet, Lisa Rausch, Jannie Borst	23

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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