Simone Spieckermann

1.0k total citations · 1 hit paper
7 papers, 758 citations indexed

About

Simone Spieckermann is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Simone Spieckermann has authored 7 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Surgery. Recurrent topics in Simone Spieckermann's work include Mesenchymal stem cell research (2 papers), Diabetes and associated disorders (1 paper) and Single-cell and spatial transcriptomics (1 paper). Simone Spieckermann is often cited by papers focused on Mesenchymal stem cell research (2 papers), Diabetes and associated disorders (1 paper) and Single-cell and spatial transcriptomics (1 paper). Simone Spieckermann collaborates with scholars based in Germany, United States and Italy. Simone Spieckermann's co-authors include Anja A. Kühl, Christoph Loddenkemper, Ulrike Erben, Dirk Haller, Markus M. Heimesaat, Martin Zeitz, Britta Siegmund, Yan Hang, Katja Steiger and Naveed Ishaque and has published in prestigious journals such as Blood, Gastroenterology and Annals of the Rheumatic Diseases.

In The Last Decade

Simone Spieckermann

7 papers receiving 754 citations

Hit Papers

A guide to histomorphological evaluation of intestinal in... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simone Spieckermann Germany 5 310 176 136 123 93 7 758
Cláudio Bernardazzi Brazil 14 365 1.2× 175 1.0× 143 1.1× 140 1.1× 67 0.7× 21 764
Vijay Morampudi Canada 16 391 1.3× 190 1.1× 165 1.2× 122 1.0× 55 0.6× 23 815
Sarah Ingersoll United States 15 351 1.1× 287 1.6× 127 0.9× 186 1.5× 109 1.2× 30 968
Caiyun Ma China 8 520 1.7× 186 1.1× 99 0.7× 136 1.1× 80 0.9× 17 866
Han Gao China 14 342 1.1× 166 0.9× 99 0.7× 153 1.2× 58 0.6× 55 854
Hon Wai Koon United States 17 304 1.0× 257 1.5× 163 1.2× 211 1.7× 79 0.8× 29 913
Juan F. Burgueño United States 12 375 1.2× 151 0.9× 94 0.7× 139 1.1× 95 1.0× 27 781
Jeffrey B. Brown United States 17 346 1.1× 268 1.5× 180 1.3× 200 1.6× 137 1.5× 36 1.0k
Yaíma L. Lightfoot United States 17 440 1.4× 406 2.3× 139 1.0× 170 1.4× 70 0.8× 23 1.1k
Beatriz Martínez‐Abad Sweden 9 296 1.0× 114 0.6× 76 0.6× 102 0.8× 47 0.5× 13 544

Countries citing papers authored by Simone Spieckermann

Since Specialization
Citations

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

Fields of papers citing papers by Simone Spieckermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Spieckermann

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

All Works

7 of 7 papers shown
1.
Tosti, Luca, Yan Hang, Olivia Debnath, et al.. (2020). Single-Nucleus and In Situ RNA–Sequencing Reveal Cell Topographies in the Human Pancreas. Gastroenterology. 160(4). 1330–1344.e11. 118 indexed citations
2.
Tani, Chiara, S. Vagnani, Linda Carli, et al.. (2017). Treatment with Allogenic Mesenchymal Stromal Cells in a Murine Model of Systemic Lupus Erythematosus. International Journal of Stem Cells. 10(2). 160–168. 12 indexed citations
3.
Kühl, Anja A., Ulrike Erben, Simone Spieckermann, et al.. (2016). Tissue-infiltrating plasma cells are an important source of carboxylesterase 2 contributing to the therapeutic efficacy of prodrugs. Cancer Letters. 378(1). 51–58. 10 indexed citations
4.
Vagnani, S., et al.. (2015). AB0190 Treatment with Bone Marrow Mesenchymal Stromal Cells in a Murine Model of Systemic Lupus Erythematosus. Annals of the Rheumatic Diseases. 74. 954–954. 3 indexed citations
5.
Erben, Ulrike, Nina N. Pawlowski, Markus M. Heimesaat, et al.. (2015). Preventive anti-CD2 treatment does not impair parasite control in a murine toxoplasmosis model. European Journal of Microbiology and Immunology. 5(4). 306–315. 1 indexed citations
6.
Erben, Ulrike, Christoph Loddenkemper, Simone Spieckermann, et al.. (2014). A guide to histomorphological evaluation of intestinal inflammation in mouse models.. PubMed. 7(8). 4557–76. 574 indexed citations breakdown →
7.
Daridon, Capucine, Christoph Loddenkemper, Simone Spieckermann, et al.. (2012). Splenic proliferative lymphoid nodules distinct from germinal centers are sites of autoantigen stimulation in immune thrombocytopenia. Blood. 120(25). 5021–5031. 40 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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