Sandra Zehentmeier

1.3k total citations
19 papers, 961 citations indexed

About

Sandra Zehentmeier is a scholar working on Immunology, Hematology and Oncology. According to data from OpenAlex, Sandra Zehentmeier has authored 19 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 11 papers in Hematology and 5 papers in Oncology. Recurrent topics in Sandra Zehentmeier's work include Hematopoietic Stem Cell Transplantation (9 papers), T-cell and B-cell Immunology (9 papers) and Immunotherapy and Immune Responses (8 papers). Sandra Zehentmeier is often cited by papers focused on Hematopoietic Stem Cell Transplantation (9 papers), T-cell and B-cell Immunology (9 papers) and Immunotherapy and Immune Responses (8 papers). Sandra Zehentmeier collaborates with scholars based in Germany, United States and Japan. Sandra Zehentmeier's co-authors include Andreas Radbruch, Koji Tokoyoda, João P. Pereira, Joachim R. Grün, Ahmed N. Hegazy, Max Löhning, Inka Albrecht, Hyun‐Dong Chang, Anja E. Hauser and Raluca Niesner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Sandra Zehentmeier

18 papers receiving 944 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandra Zehentmeier Germany 14 666 200 133 120 118 19 961
Dimitra Zotos Australia 13 1.2k 1.8× 110 0.6× 180 1.4× 173 1.4× 112 0.9× 16 1.4k
Martin Szyska Germany 10 525 0.8× 245 1.2× 116 0.9× 110 0.9× 57 0.5× 12 792
Qingyu Cheng Germany 14 485 0.7× 92 0.5× 117 0.9× 134 1.1× 65 0.6× 25 857
W Strober United States 13 570 0.9× 124 0.6× 152 1.1× 148 1.2× 125 1.1× 22 875
Sophie Sibéril France 14 522 0.8× 149 0.7× 154 1.2× 232 1.9× 119 1.0× 31 930
Giuliana Cassese Germany 10 1.0k 1.5× 168 0.8× 198 1.5× 139 1.2× 80 0.7× 12 1.3k
Toshinao Kawai Japan 16 483 0.7× 173 0.9× 268 2.0× 164 1.4× 106 0.9× 50 930
Sandra Ammann Germany 14 618 0.9× 390 1.9× 86 0.6× 177 1.5× 63 0.5× 27 869
Manuela Cota Italy 12 439 0.7× 90 0.5× 216 1.6× 137 1.1× 130 1.1× 15 777
Inka Albrecht Germany 12 673 1.0× 89 0.4× 98 0.7× 158 1.3× 121 1.0× 22 907

Countries citing papers authored by Sandra Zehentmeier

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Zehentmeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandra Zehentmeier

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

All Works

19 of 19 papers shown
2.
Badolato, Raffaele, Yanping Hu, Lars Karlsson, et al.. (2024). Results of a Phase 3 Trial of an Oral CXCR4 Antagonist, Mavorixafor, for the Treatment of Participants With WHIM Syndrome: Investigational Assessment of Lymphocyte Subpopulations in Peripheral Blood. Journal of Allergy and Clinical Immunology. 153(2). AB143–AB143. 1 indexed citations
3.
Lim, Vivian, Sandra Zehentmeier, Alexei V. Tumanov, et al.. (2023). Mature B cells and mesenchymal stem cells control emergency myelopoiesis. Life Science Alliance. 6(4). e202301924–e202301924. 3 indexed citations
4.
Zehentmeier, Sandra, Vivian Lim, Takeshi Ito, et al.. (2022). Dysregulated stem cell niches and altered lymphocyte recirculation cause B and T cell lymphopenia in WHIM syndrome. Science Immunology. 7(75). eabo3170–eabo3170. 10 indexed citations
5.
Lim, Vivian, et al.. (2020). Hematopoietic Stem Cell Niches and Signals Controlling Immune Cell Development and Maintenance of Immunological Memory. Frontiers in Immunology. 11. 600127–600127. 27 indexed citations
6.
Zehentmeier, Sandra & João P. Pereira. (2019). Cell circuits and niches controlling B cell development. Immunological Reviews. 289(1). 142–157. 48 indexed citations
7.
Zehentmeier, Sandra, et al.. (2018). Cell circuits between B cell progenitors and IL-7+ mesenchymal progenitor cells control B cell development. The Journal of Experimental Medicine. 215(10). 2586–2599. 65 indexed citations
8.
Lim, Vivian, et al.. (2017). A Chemoattractant-Guided Walk Through Lymphopoiesis. Advances in immunology. 134. 47–88. 24 indexed citations
9.
Stefanowski, Jonathan, Robert Günther, Romano Matthys, et al.. (2017). Longitudinal intravital imaging of the femoral bone marrow reveals plasticity within marrow vasculature. Nature Communications. 8(1). 2153–2153. 56 indexed citations
10.
Zehentmeier, Sandra, et al.. (2015). Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone. Journal of Visualized Experiments. 1 indexed citations
11.
Sercan, Özen, Sibel Durlanik, Daniel Schulz, et al.. (2015). Memory CD8+ T cells colocalize with IL‐7+ stromal cells in bone marrow and rest in terms of proliferation and transcription. European Journal of Immunology. 45(4). 975–987. 82 indexed citations
12.
Mokhtari, Zeinab, Franziska Mech, Sandra Zehentmeier, Anja E. Hauser, & Marc Thilo Figge. (2015). Quantitative image analysis of cell colocalization in murine bone marrow. Cytometry Part A. 87(6). 503–512. 15 indexed citations
13.
Zehentmeier, Sandra, Katrin Roth, Zoltán Cseresnyés, et al.. (2014). Static and dynamic components synergize to form a stable survival niche for bone marrow plasma cells. European Journal of Immunology. 44(8). 2306–2317. 94 indexed citations
14.
Roth, Katrin, et al.. (2013). Tracking plasma cell differentiation and survival. Cytometry Part A. 85(1). 15–24. 40 indexed citations
15.
Shinoda, Kenta, Koji Tokoyoda, Asami Hanazawa, et al.. (2012). Type II membrane protein CD69 regulates the formation of resting T-helper memory. Proceedings of the National Academy of Sciences. 109(19). 7409–7414. 100 indexed citations
16.
Tokoyoda, Koji, Sandra Zehentmeier, Hyun‐Dong Chang, & Andreas Radbruch. (2009). Organization and maintenance of immunological memory by stroma niches. European Journal of Immunology. 39(8). 2095–2099. 50 indexed citations
17.
Tokoyoda, Koji, Sandra Zehentmeier, Ahmed N. Hegazy, et al.. (2009). Professional Memory CD4+ T Lymphocytes Preferentially Reside and Rest in the Bone Marrow. Immunity. 30(5). 721–730. 270 indexed citations
18.
Lindner, Juha, Sandra Zehentmeier, Annelie Plentz, et al.. (2008). Humoral Immune Response Against Human Bocavirus VP2 Virus-Like Particles. Viral Immunology. 21(4). 443–450. 50 indexed citations
19.
Lindner, Juha, Sandra Zehentmeier, Rauli Franssila, et al.. (2008). CD4+T Helper Cell Responses against Human Bocavirus Viral Protein 2 Viruslike Particles in Healthy Adults. The Journal of Infectious Diseases. 198(11). 1677–1684. 25 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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