Caroline Peine

1.1k total citations
11 papers, 743 citations indexed

About

Caroline Peine is a scholar working on Immunology, Infectious Diseases and Surgery. According to data from OpenAlex, Caroline Peine has authored 11 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 2 papers in Infectious Diseases and 1 paper in Surgery. Recurrent topics in Caroline Peine's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (4 papers). Caroline Peine is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (4 papers). Caroline Peine collaborates with scholars based in Germany, United States and Switzerland. Caroline Peine's co-authors include Max Löhning, Ahmed N. Hegazy, Anja Fröhlich, Daniel D. Pinschewer, Andreas Radbruch, Isabel Panse, Andreas Bergthaler, Lukas Flatz, Weldy V. Bonilla and Claudia Baumann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Immunity and PLoS Biology.

In The Last Decade

Caroline Peine

11 papers receiving 733 citations

Peers

Caroline Peine

IMMUN

SURGE

PHYSI

ONCOL

Peter J. Morrison Germany

Martha Pérez‐Rodríguez Mexico

Anaïs Duval Switzerland

Xiaogang Feng Sweden

Kota Kokubo Japan

Kouji Tominaga Japan

Marie Delbeke France

Katherine Miles United Kingdom

A Paul United States

Jeremy M. Lott United States

Peter J. Morrison Germany

Caroline Peine

553 ×0.9

IMMUN

257 ×1.7

SURGE

100 ×0.9

88 ×1.1

PHYSI

42 ×0.5

ONCOL

Citations per year, relative to Caroline Peine Caroline Peine (= 1×) peers Peter J. Morrison

Countries citing papers authored by Caroline Peine

Since Specialization

Citations

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

Fields of papers citing papers by Caroline Peine

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Peine

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

All Works

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11 of 11 papers shown

Hegazy, Ahmed N., Caroline Peine, Isabel Panse, et al.. (2024). Plasticity and lineage commitment of individual T_H1 cells are determined by stable T-bet expression quantities. Science Advances. 10(23). eadk2693–eadk2693. 6 indexed citations

Puyskens, Andreas, Janine Michel, Ole Wichmann, et al.. (2023). Direct comparison of clinical diagnostic sensitivity of saliva from buccal swabs versus combined oro-/nasopharyngeal swabs in the detection of SARS-CoV-2 B.1.1.529 Omicron. Journal of Clinical Virology. 165. 105496–105496. 4 indexed citations

Peine, Caroline, Z Borek, Michael Floßdorf, et al.. (2022). Dissecting the dynamic transcriptional landscape of early T helper cell differentiation into Th1, Th2, and Th1/2 hybrid cells. Frontiers in Immunology. 13. 928018–928018. 17 indexed citations

Merola, Joseph F., Iain B. McInnes, Atul Deodhar, et al.. (2022). Effect of Secukinumab on Traditional Cardiovascular Risk Factors and Inflammatory Biomarkers: Post Hoc Analyses of Pooled Data Across Three Indications. Rheumatology and Therapy. 9(3). 935–955. 23 indexed citations

Siedler, Anette, et al.. (2022). Evaluation der COVID-19-Impfung nach breiter Anwendung – ein Zwischenfazit für Deutschland im Juli 2022. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 65(12). 1272–1280. 4 indexed citations

Peine, Caroline, et al.. (2016). IL-33 in T Cell Differentiation, Function, and Immune Homeostasis. Trends in Immunology. 37(5). 321–333. 129 indexed citations

Baumann, Claudia, Weldy V. Bonilla, Anja Fröhlich, et al.. (2015). T-bet– and STAT4–dependent IL-33 receptor expression directly promotes antiviral Th1 cell responses. Proceedings of the National Academy of Sciences. 112(13). 4056–4061. 142 indexed citations

Floßdorf, Michael, Caroline Peine, Andreas Kupz, et al.. (2014). Individual T Helper Cells Have a Quantitative Cytokine Memory. Immunity. 42(1). 108–122. 36 indexed citations

Peine, Caroline, Sebastian Rausch, Anja Fröhlich, et al.. (2013). Stable T-bet+GATA-3+ Th1/Th2 Hybrid Cells Arise In Vivo, Can Develop Directly from Naive Precursors, and Limit Immunopathologic Inflammation. PLoS Biology. 11(8). e1001633–e1001633. 115 indexed citations

10.

Hegazy, Ahmed N., Caroline Peine, Isabel Panse, et al.. (2010). Interferons Direct Th2 Cell Reprogramming to Generate a Stable GATA-3+T-bet+ Cell Subset with Combined Th2 and Th1 Cell Functions. Immunity. 32(1). 116–128. 253 indexed citations

11.

Janke, Marko, et al.. (2010). In vitro‐induced Th17 cells fail to induce inflammation in vivo and show an impaired migration into inflamed sites. European Journal of Immunology. 40(4). 1089–1098. 14 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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