Bodo Steckel

926 total citations
18 papers, 724 citations indexed

About

Bodo Steckel is a scholar working on Immunology, Physiology and Molecular Biology. According to data from OpenAlex, Bodo Steckel has authored 18 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 8 papers in Physiology and 3 papers in Molecular Biology. Recurrent topics in Bodo Steckel's work include Adenosine and Purinergic Signaling (8 papers), Immune Cell Function and Interaction (8 papers) and T-cell and B-cell Immunology (6 papers). Bodo Steckel is often cited by papers focused on Adenosine and Purinergic Signaling (8 papers), Immune Cell Function and Interaction (8 papers) and T-cell and B-cell Immunology (6 papers). Bodo Steckel collaborates with scholars based in Germany, Italy and China. Bodo Steckel's co-authors include Jens Geginat, Laura Lozza, Svenja Steinfelder, Sergio Abrignani, Monica Moro, Mariacristina Crosti, Paola Gruarin, Katharina Stölzel, Chiara Romagnani and Giulia Nizzoli and has published in prestigious journals such as Circulation, The Journal of Experimental Medicine and Blood.

In The Last Decade

Bodo Steckel

16 papers receiving 718 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bodo Steckel Germany	11	502	149	137	68	50	18	724
Jimena Tosello Argentina	12	525 1.0×	159 1.1×	335 2.4×	74 1.1×	163 3.3×	20	833
Teun Guichelaar Netherlands	12	382 0.8×	186 1.2×	107 0.8×	27 0.4×	137 2.7×	24	674
Inka Albrecht Germany	12	673 1.3×	158 1.1×	98 0.7×	21 0.3×	121 2.4×	22	907
Maria Diedrichs‐Möhring Germany	19	327 0.7×	147 1.0×	73 0.5×	21 0.3×	135 2.7×	34	824
Julien Maurizio France	9	656 1.3×	288 1.9×	159 1.2×	16 0.2×	76 1.5×	10	930
Eliana Ribechini Germany	12	653 1.3×	113 0.8×	151 1.1×	16 0.2×	100 2.0×	15	823
Pavel Chrobák Canada	17	324 0.6×	199 1.3×	194 1.4×	241 3.5×	71 1.4×	28	724
Giuseppina Arbore United Kingdom	7	376 0.7×	138 0.9×	29 0.2×	25 0.4×	50 1.0×	12	532
Julie Mussard France	10	504 1.0×	194 1.3×	163 1.2×	10 0.1×	54 1.1×	13	680
Honorio Torres‐Aguilar Mexico	15	424 0.8×	157 1.1×	84 0.6×	11 0.2×	44 0.9×	41	717

Countries citing papers authored by Bodo Steckel

Since Specialization

Citations

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

Fields of papers citing papers by Bodo Steckel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bodo Steckel

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

All Works

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18 of 18 papers shown

Steckel, Bodo, J. Schmitz, Matthias Karg, et al.. (2025). Theranostic Toolbox for Neutrophil Functionalization. Advanced Science. 12(34). e04412–e04412.

Hesse, Julia, et al.. (2024). Intercellular crosstalk shapes purinergic metabolism and signaling in cancer cells. Cell Reports. 43(1). 113643–113643. 3 indexed citations

Steckel, Bodo, K Becker, Jürgen Schrader, et al.. (2023). CD73 deficiency does not aggravate angiotensin II-induced aortic inflammation in mice. Scientific Reports. 13(1). 17125–17125.

Kirschner, Philip, Natalia I. Krupenko, Philipp Westhoff, et al.. (2023). Pancreatic islet protection at the expense of secretory function involves serine-linked mitochondrial one-carbon metabolism. Cell Reports. 42(6). 112615–112615. 6 indexed citations

Hesse, Julia, Bodo Steckel, Bernhard Blank‐Landeshammer, et al.. (2021). Mono-ADP-ribosylation sites of human CD73 inhibit its adenosine-generating enzymatic activity. Purinergic Signalling. 18(1). 115–121. 6 indexed citations

Hesse, Julia, Bodo Steckel, Christina Alter, et al.. (2021). Profound inhibition of CD73-dependent formation of anti-inflammatory adenosine in B cells of SLE patients. EBioMedicine. 73. 103616–103616. 13 indexed citations

Hesse, Julia, Zhaoping Ding, Bodo Steckel, et al.. (2021). Normoxic induction of HIF‐1α by adenosine‐A _2B R signaling in epicardial stromal cells formed after myocardial infarction. The FASEB Journal. 35(5). e21517–e21517. 9 indexed citations

Montfort, Claudia von, et al.. (2020). CNP mediated selective toxicity on melanoma cells is accompanied by mitochondrial dysfunction. PLoS ONE. 15(1). e0227926–e0227926. 22 indexed citations

Temme, Sebastian, Daniela Friebe, Gereon Poschmann, et al.. (2017). Genetic profiling and surface proteome analysis of human atrial stromal cells and rat ventricular epicardium-derived cells reveals novel insights into their cardiogenic potential. Stem Cell Research. 25. 183–190. 4 indexed citations

10.

Borg, Nadine, Christina Alter, Christoph Jacoby, et al.. (2017). CD73 on T Cells Orchestrates Cardiac Wound Healing After Myocardial Infarction by Purinergic Metabolic Reprogramming. Circulation. 136(3). 297–313. 69 indexed citations

11.

Caiazzo, Elisabetta, Francesco Μaione, Silvana Morello, et al.. (2016). Adenosine signalling mediates the anti-inflammatory effects of the COX-2 inhibitor nimesulide. Biochemical Pharmacology. 112. 72–81. 21 indexed citations

12.

Kastirr, Ilko, Mariacristina Crosti, Stefano Maglie, et al.. (2015). Signal Strength and Metabolic Requirements Control Cytokine-Induced Th17 Differentiation of Uncommitted Human T Cells. The Journal of Immunology. 195(8). 3617–3627. 27 indexed citations

13.

Friebe, Daniela, Tao Yang, Nadine Borg, et al.. (2014). Purinergic Signaling on Leukocytes Infiltrating the LPS-Injured Lung. PLoS ONE. 9(4). e95382–e95382. 15 indexed citations

14.

Kastirr, Ilko, Stefano Maglie, Moira Paroni, et al.. (2014). IL-21 Is a Central Memory T Cell–Associated Cytokine That Inhibits the Generation of Pathogenic Th1/17 Effector Cells. The Journal of Immunology. 193(7). 3322–3331. 44 indexed citations

15.

Nizzoli, Giulia, Jana Krietsch, Svenja Steinfelder, et al.. (2013). Human CD1c+ dendritic cells secrete high levels of IL-12 and potently prime cytotoxic T-cell responses. Blood. 122(6). 932–942. 260 indexed citations

16.

Steinfelder, Svenja, Stefan Floess, Dirk Engelbert, et al.. (2011). Epigenetic modification of the human CCR6 gene is associated with stable CCR6 expression in T cells. Blood. 117(10). 2839–2846. 47 indexed citations

17.

Rivino, Laura, Paola Gruarin, Svenja Steinfelder, et al.. (2010). CCR6 is expressed on an IL-10–producing, autoreactive memory T cell population with context-dependent regulatory function. The Journal of Experimental Medicine. 207(3). 565–577. 51 indexed citations

18.

Lozza, Laura, et al.. (2009). Identification and characterization of IL-10/IFN-γ–producing effector-like T cells with regulatory function in human blood. The Journal of Experimental Medicine. 206(5). 1009–1017. 127 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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