Erich Gulbins

35.1k total citations · 3 hit papers
430 papers, 26.4k citations indexed

About

Erich Gulbins is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Erich Gulbins has authored 430 papers receiving a total of 26.4k indexed citations (citations by other indexed papers that have themselves been cited), including 324 papers in Molecular Biology, 94 papers in Physiology and 76 papers in Immunology. Recurrent topics in Erich Gulbins's work include Sphingolipid Metabolism and Signaling (195 papers), Lipid Membrane Structure and Behavior (93 papers) and Erythrocyte Function and Pathophysiology (69 papers). Erich Gulbins is often cited by papers focused on Sphingolipid Metabolism and Signaling (195 papers), Lipid Membrane Structure and Behavior (93 papers) and Erythrocyte Function and Pathophysiology (69 papers). Erich Gulbins collaborates with scholars based in Germany, United States and Italy. Erich Gulbins's co-authors include Florian Läng, Heike Grassmé, Ildikò Szabó, Richard Kolesnick, Johannes Kornhuber, Katrin Anne Becker, Andrea Riehle, Markus Ritter, Mario Zoratti and Gillian L. Busch and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Erich Gulbins

423 papers receiving 26.1k citations

Hit Papers

Functional Significance of Cell Volume Regulatory Mechanisms 1998 2026 2007 2016 1998 2013 2001 500 1000 1.5k

Peers

Erich Gulbins
John A. Cidlowski United States
Michael H. Gelb United States
Edward J. Goetzl United States
Paul A. Insel United States
Erich Gulbins
Citations per year, relative to Erich Gulbins Erich Gulbins (= 1×) peers Stefan Offermanns

Countries citing papers authored by Erich Gulbins

Since Specialization
Citations

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

Fields of papers citing papers by Erich Gulbins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erich Gulbins

This figure shows the co-authorship network connecting the top 25 collaborators of Erich Gulbins. A scholar is included among the top collaborators of Erich Gulbins 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 Erich Gulbins. Erich Gulbins 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.
Schumacher, Fabian, Luiza Martins Nascentes Melo, Nadine Beckmann, et al.. (2025). Amitriptyline inhibits Plasmodium development in infected red blood cells by modulating sphingolipid metabolism and glucose uptake. Biomedicine & Pharmacotherapy. 189. 118331–118331.
2.
Kalinichenko, Liubov S., Iulia Zoicas, Julia Robinson, et al.. (2025). Brain acid sphingomyelinase controls addiction-related behaviours in a sex-specific way. Neurobiology of Disease. 206. 106800–106800.
3.
Patel, Sameer H., Gregory C. Wilson, Yuqing Wu, et al.. (2024). Sphingosine is involved in PAPTP-induced death of pancreas cancer cells by interfering with mitochondrial functions. Journal of Molecular Medicine. 102(7). 947–959. 1 indexed citations
4.
Schwalm, Stephanie, Nerea Ferreirós, Stefan Zeuzem, et al.. (2024). Acid Sphingomyelinase Activation and ROS Generation Potentiate Antiproliferative Effects of Mitomycin in HCC. International Journal of Molecular Sciences. 25(22). 12175–12175.
5.
Soddemann, Matthias, et al.. (2024). Sphingosine Prevents Rhinoviral Infections. International Journal of Molecular Sciences. 25(5). 2486–2486. 2 indexed citations
6.
Wilson, Gregory C., Simone Keitsch, Matthias Soddemann, et al.. (2024). Phosphatidic acid is involved in regulation of autophagy in neurons in vitro and in vivo. Pflügers Archiv - European Journal of Physiology. 476(12). 1881–1894. 1 indexed citations
7.
Wilson, Gregory C., Sameer H. Patel, Jiang Wang, et al.. (2023). Acid sphingomyelinase expression is associated with survival in resectable pancreatic ductal adenocarcinoma. Journal of Molecular Medicine. 101(7). 891–903. 1 indexed citations
8.
Kleuser, Burkhard, Fabian Schumacher, & Erich Gulbins. (2023). New Therapeutic Options in Pulmonal Diseases: Sphingolipids and Modulation of Sphingolipid Metabolism. Handbook of experimental pharmacology. 284. 289–312. 2 indexed citations
9.
Kadow, Stephanie, M. Krämer, Simone Keitsch, et al.. (2022). Sphingosine as a New Antifungal Agent against Candida and Aspergillus spp.. International Journal of Molecular Sciences. 23(24). 15510–15510. 8 indexed citations
10.
Koch, Achim, Nikolaus Pizanis, Frank Herbstreit, et al.. (2022). Lung Transplantation for Adult Respiratory Distress Syndrome after SARS-CoV-2 Infection. SHILAP Revista de lepidopterología. 11(1). e23–e26. 1 indexed citations
11.
Kadow, Stephanie, Fabian Schumacher, M. Krämer, et al.. (2022). Mitochondrial Kv1.3 Channels as Target for Treatment of Multiple Myeloma. Cancers. 14(8). 1955–1955. 11 indexed citations
12.
Bachmann, Magdalena, Tatiana Varanita, Bernard Fioretti, et al.. (2022). Pharmacological targeting of the mitochondrial calcium-dependent potassium channel KCa3.1 triggers cell death and reduces tumor growth and metastasis in vivo. Cell Death and Disease. 13(12). 1055–1055. 19 indexed citations
13.
Kornhuber, Johannes & Erich Gulbins. (2021). New Molecular Targets for Antidepressant Drugs. Pharmaceuticals. 14(9). 894–894. 23 indexed citations
14.
Rhein, Cosima, Iulia Zoicas, Tobias Hepp, et al.. (2021). mRNA Expression of SMPD1 Encoding Acid Sphingomyelinase Decreases upon Antidepressant Treatment. International Journal of Molecular Sciences. 22(11). 5700–5700. 10 indexed citations
15.
Gardner, Aaron, Iram Haq, A. John Simpson, et al.. (2020). Recombinant Acid Ceramidase Reduces Inflammation and Infection in Cystic Fibrosis. American Journal of Respiratory and Critical Care Medicine. 202(8). 1133–1145. 27 indexed citations
16.
McElvaney, Oliver J., Zbigniew Zasłona, Eva M. Pålsson‐McDermott, et al.. (2019). Specific Inhibition of the NLRP3 Inflammasome as an Antiinflammatory Strategy in Cystic Fibrosis. American Journal of Respiratory and Critical Care Medicine. 200(11). 1381–1391. 75 indexed citations
17.
Bao, Junxiang, Guangbi Li, Xinxu Yuan, Pin‐Lan Li, & Erich Gulbins. (2017). Contribution of p62 to Phenotype Transition of Coronary Arterial Myocytes with Defective Autophagy. Cellular Physiology and Biochemistry. 41(2). 555–568. 6 indexed citations
18.
Szabó, Ildikò, Jürgen Bock, Heike Grassmé, et al.. (2008). Mitochondrial potassium channel Kv1.3 mediates Bax-induced apoptosis in lymphocytes. Proceedings of the National Academy of Sciences. 105(39). 14861–14866. 184 indexed citations
19.
Rébillard, Amélie, Xavier Tekpli, Olivier Meurette, et al.. (2007). Cisplatin-Induced Apoptosis Involves Membrane Fluidification via Inhibition of NHE1 in Human Colon Cancer Cells. Cancer Research. 67(16). 7865–7874. 131 indexed citations
20.
Weller, Michael, Christoph Weinstock, Christine Will, et al.. (1997). CD95-Dependent T-Cell Killing by Glioma Cells Expressing CD95 Ligand: More on Tumor Immune Escape, the CD95 Counterattack, and the Immune Privilege of the Brain. Cellular Physiology and Biochemistry. 7(5). 282–288. 34 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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