Christian Riebeling

3.3k total citations
39 papers, 2.3k citations indexed

About

Christian Riebeling is a scholar working on Molecular Biology, Physiology and Materials Chemistry. According to data from OpenAlex, Christian Riebeling has authored 39 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Physiology and 10 papers in Materials Chemistry. Recurrent topics in Christian Riebeling's work include Nanoparticles: synthesis and applications (10 papers), Pluripotent Stem Cells Research (9 papers) and Sphingolipid Metabolism and Signaling (7 papers). Christian Riebeling is often cited by papers focused on Nanoparticles: synthesis and applications (10 papers), Pluripotent Stem Cells Research (9 papers) and Sphingolipid Metabolism and Signaling (7 papers). Christian Riebeling collaborates with scholars based in Germany, United States and Israel. Christian Riebeling's co-authors include Anthony H. Futerman, Dori Pelled, Alfred H. Merrill, Jeremy C. Allegood, Amir M. Hossini, Jürgen Eberle, Jacques Bodennec, Andreas Luch, Constantin E. Orfanos and Peter T. Daniel and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and The FASEB Journal.

In The Last Decade

Christian Riebeling

38 papers receiving 2.3k citations

Peers

Christian Riebeling
Christian Riebeling
Citations per year, relative to Christian Riebeling Christian Riebeling (= 1×) peers Mariapaola Nitti

Countries citing papers authored by Christian Riebeling

Since Specialization
Citations

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

Fields of papers citing papers by Christian Riebeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Riebeling

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

All Works

20 of 20 papers shown
1.
Pirow, Ralph, Ulrike Bernauer, Matthias Herzler, et al.. (2024). Mono-n-hexyl phthalate: exposure estimation and assessment of health risks based on levels found in human urine samples. Archives of Toxicology. 98(11). 3659–3671. 1 indexed citations
2.
Wohlleben, Wendel, Bryan Hellack, Carmen Nickel, et al.. (2019). The nanoGRAVUR framework to group (nano)materials for their occupational, consumer, environmental risks based on a harmonized set of material properties, applied to 34 case studies. Nanoscale. 11(38). 17637–17654. 39 indexed citations
3.
Gajewicz, Agnieszka, Tomasz Puzyn, Piotr Urbaszek, et al.. (2017). Decision tree models to classify nanomaterials according to the DF4nanoGrouping scheme. Nanotoxicology. 12(1). 1–17. 57 indexed citations
4.
Laux, Peter, Jutta Tentschert, Christian Riebeling, et al.. (2017). Nanomaterials: certain aspects of application, risk assessment and risk communication. Archives of Toxicology. 92(1). 121–141. 103 indexed citations
5.
Laux, Peter, Christian Riebeling, Andy M. Booth, et al.. (2017). Biokinetics of nanomaterials: The role of biopersistence. NanoImpact. 6. 69–80. 46 indexed citations
6.
Drießen, Marc D., Antje Vennemann, Bryan Hellack, et al.. (2015). Proteomic analysis of protein carbonylation: a useful tool to unravel nanoparticle toxicity mechanisms. Particle and Fibre Toxicology. 12(1). 36–36. 50 indexed citations
7.
Tralau, Tewes, Christian Riebeling, Ralph Pirow, et al.. (2012). Wind of Change Challenges Toxicological Regulators. Environmental Health Perspectives. 120(11). 1489–1494. 25 indexed citations
8.
Seiler, A., Michael Oelgeschläger, Manfred Liebsch, et al.. (2011). Developmental toxicity testing in the 21st century: the sword of Damocles shattered by embryonic stem cell assays?. Archives of Toxicology. 85(11). 1361–1372. 13 indexed citations
9.
Riebeling, Christian, Andrew J. Morris, & Dennis Shields. (2009). Phospholipase D in the Golgi apparatus. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1791(9). 876–880. 31 indexed citations
10.
Riebeling, Christian, Sylvain Bourgoin, & Dennis Shields. (2008). Caspase cleavage of phospholipase D1 in vitro alters its regulation and reveals a novel property of the “loop” region. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1781(8). 376–382. 8 indexed citations
11.
Müller, Christian, et al.. (2004). Nitrogen-containing bisphosphonates inhibit cell cycle progression in human melanoma cells. British Journal of Cancer. 91(4). 803–810. 36 indexed citations
12.
Pelled, Dori, Emyr Lloyd‐Evans, Christian Riebeling, et al.. (2003). Inhibition of Calcium Uptake via the Sarco/Endoplasmic Reticulum Ca2+-ATPase in a Mouse Model of Sandhoff Disease and Prevention by Treatment with N-Butyldeoxynojirimycin. Journal of Biological Chemistry. 278(32). 29496–29501. 120 indexed citations
13.
Pelled, Dori, Christian Riebeling, Gerhild van Echten‐Deckert, Konrad Sandhoff, & Anthony H. Futerman. (2003). Reduced rates of axonal and dendritic growth in embryonic hippocampal neurones cultured from a mouse model of Sandhoff disease. Neuropathology and Applied Neurobiology. 29(4). 341–349. 21 indexed citations
14.
Riebeling, Christian, Jeremy C. Allegood, Elaine Wang, Alfred H. Merrill, & Anthony H. Futerman. (2003). Two Mammalian Longevity Assurance Gene (LAG1) Family Members, trh1 and trh4, Regulate Dihydroceramide Synthesis Using Different Fatty Acyl-CoA Donors. Journal of Biological Chemistry. 278(44). 43452–43459. 253 indexed citations
15.
Bektas, Meryem, Alicja Bielawska, Christian Riebeling, et al.. (2002). Bcl‐2 overexpression prevents apoptosis induced by ceramidase inhibitors in malignant melanoma and HaCaT keratinocytes. FEBS Letters. 516(1-3). 47–52. 104 indexed citations
16.
Pelled, Dori, Tal Raveh, Christian Riebeling, et al.. (2002). Death-associated Protein (DAP) Kinase Plays a Central Role in Ceramide-induced Apoptosis in Cultured Hippocampal Neurons. Journal of Biological Chemistry. 277(3). 1957–1961. 126 indexed citations
17.
18.
Hossini, Amir M., Jürgen Eberle, Christian Riebeling, et al.. (2001). The Bax/Bcl-2 Ratio Determines the Susceptibility of Human Melanoma Cells to CD95/Fas-Mediated Apoptosis. Journal of Investigative Dermatology. 117(2). 333–340. 466 indexed citations
19.
Riebeling, Christian, et al.. (2000). Bcl-2 transfected HaCaT keratinocytes resist apoptotic signals of ceramides, tumor necrosis factor α and 1α,25-dihydroxyvitamin D 3. Archives of Dermatological Research. 292(9). 455–462. 14 indexed citations
20.
Riebeling, Christian, et al.. (1998). Expression and regulation of phospholipase D in the human keratinocyte cell line HaCaT. FEBS Letters. 425(2). 199–203. 10 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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