J. Peter Slotte

8.5k total citations
191 papers, 7.4k citations indexed

About

J. Peter Slotte is a scholar working on Molecular Biology, Organic Chemistry and Physiology. According to data from OpenAlex, J. Peter Slotte has authored 191 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 167 papers in Molecular Biology, 38 papers in Organic Chemistry and 35 papers in Physiology. Recurrent topics in J. Peter Slotte's work include Lipid Membrane Structure and Behavior (143 papers), Sphingolipid Metabolism and Signaling (106 papers) and Surfactants and Colloidal Systems (35 papers). J. Peter Slotte is often cited by papers focused on Lipid Membrane Structure and Behavior (143 papers), Sphingolipid Metabolism and Signaling (106 papers) and Surfactants and Colloidal Systems (35 papers). J. Peter Slotte collaborates with scholars based in Finland, Japan and United States. J. Peter Slotte's co-authors include Bodil Ramstedt, Thomas K.M. Nyholm, E L Bierman, Katrin Halling, John F. Oram, Peter Mattjus, Robert Bittman, Michaela Pörn, Matts Nylund and Tomokazu Yasuda and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

J. Peter Slotte

191 papers receiving 7.3k citations

Peers

J. Peter Slotte
Arun Radhakrishnan United States
Pentti Somerharju Finland
Philip L. Yèagle United States
Alicia Alonso Spain
Zygmunt S. Derewenda United States
Rhoderick E. Brown United States
J. de Gier Netherlands
Yvonne Lange United States
Jacqueline A. Reynolds United States
B. Roelofsen Netherlands
Arun Radhakrishnan United States
J. Peter Slotte
Citations per year, relative to J. Peter Slotte J. Peter Slotte (= 1×) peers Arun Radhakrishnan

Countries citing papers authored by J. Peter Slotte

Since Specialization
Citations

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

Fields of papers citing papers by J. Peter Slotte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Peter Slotte. 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 J. Peter Slotte. The network helps show where J. Peter Slotte may publish in the future.

Co-authorship network of co-authors of J. Peter Slotte

This figure shows the co-authorship network connecting the top 25 collaborators of J. Peter Slotte. A scholar is included among the top collaborators of J. Peter Slotte 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 J. Peter Slotte. J. Peter Slotte 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.
Yasuda, Tomokazu, et al.. (2024). Design, synthesis of ceramide 1-phosphate analogs and their affinity for cytosolic phospholipase A2 as evidenced by surface plasmon resonance. Bioorganic & Medicinal Chemistry Letters. 107. 129792–129792. 1 indexed citations
2.
Tsuchikawa, Hiroshi, et al.. (2022). Depth-Dependent Segmental Melting of the Sphingomyelin Alkyl Chain in Lipid Bilayers. Langmuir. 38(18). 5515–5524. 4 indexed citations
3.
Hanashima, Shinya, Ryuji Ikeda, Yuki Matsubara, et al.. (2022). Effect of cholesterol on the lactosylceramide domains in phospholipid bilayers. Biophysical Journal. 121(7). 1143–1155. 5 indexed citations
4.
Rivera‐de‐Torre, Esperanza, et al.. (2020). Evaluation of different approaches used to study membrane permeabilization by actinoporins on model lipid vesicles. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1862(9). 183311–183311. 7 indexed citations
5.
Engberg, Oskar, et al.. (2020). Sphingomyelin Acyl Chains Influence the Formation of Sphingomyelin- and Cholesterol-Enriched Domains. Biophysical Journal. 119(11). 2360–2361. 7 indexed citations
6.
Watanabe, Nozomi Morishita, Keishi Suga, J. Peter Slotte, Thomas K.M. Nyholm, & Hiroshi Umakoshi. (2019). Lipid-Surrounding Water Molecules Probed by Time-Resolved Emission Spectra of Laurdan. Langmuir. 35(20). 6762–6770. 27 indexed citations
7.
García‐Linares, Sara, et al.. (2019). Sticholysin, Sphingomyelin, and Cholesterol: A Closer Look at a Tripartite Interaction. Biophysical Journal. 116(12). 2253–2265. 12 indexed citations
8.
Yasuda, Tomokazu, J. Peter Slotte, & Michio Murata. (2018). Nanosized Phase Segregation of Sphingomyelin and Dihydrosphigomyelin in Unsaturated Phosphatidylcholine Binary Membranes without Cholesterol. Langmuir. 34(44). 13426–13437. 7 indexed citations
9.
Engberg, Oskar, et al.. (2016). The Affinity of Cholesterol for Different Phospholipids Affects Lateral Segregation in Bilayers. Biophysical Journal. 111(3). 546–556. 59 indexed citations
10.
Björkbom, Anders, et al.. (2010). Sphingomyelin analogs with branched N-acyl chains: The position of branching dramatically affects acyl chain order and sterol interactions in bilayer membranes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1798(10). 1987–1994. 39 indexed citations
11.
Brewer, Jonathan R., et al.. (2009). Thermotropic behavior and lateral distribution of very long chain sphingolipids. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1788(6). 1310–1320. 35 indexed citations
12.
Nyholm, Thomas K.M., et al.. (2008). N-palmitoyl-sulfatide participates in lateral domain formation in complex lipid bilayers. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1778(4). 954–962. 21 indexed citations
13.
Slotte, J. Peter, et al.. (2008). How the molecular features of glycosphingolipids affect domain formation in fluid membranes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1788(1). 194–201. 100 indexed citations
14.
Björkbom, Anders, et al.. (2008). Importance of the phosphocholine linkage on sphingomyelin molecular properties and interactions with cholesterol; a study with phosphate oxygen modified sphingomyelin-analogues. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1778(6). 1501–1507. 13 indexed citations
15.
Galkin, Anna, Moshe Finel, Kaija H. Valkonen, et al.. (2007). Transport properties of bovine and reindeer β-lactoglobulin in the Caco-2 cell model. International Journal of Pharmaceutics. 347(1-2). 1–8. 12 indexed citations
16.
Halling, Katrin, et al.. (2005). Displacement of sterols from sterol/sphingomyelin domains in fluid bilayer membranes by competing molecules. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1715(2). 111–121. 86 indexed citations
17.
Nymalm, Yvonne, J. Santeri Puranen, Thomas K.M. Nyholm, et al.. (2004). Jararhagin-derived RKKH Peptides Induce Structural Changes in α1I Domain of Human Integrin α1β1. Journal of Biological Chemistry. 279(9). 7962–7970. 32 indexed citations
18.
Tammela, Päivi, Leena Laitinen, Anna Galkin, et al.. (2004). Permeability characteristics and membrane affinity of flavonoids and alkyl gallates in Caco-2 cells and in phospholipid vesicles. Archives of Biochemistry and Biophysics. 425(2). 193–199. 110 indexed citations
19.
20.
Slotte, J. Peter, et al.. (1997). Interfacial regulation of bacterial sphingomyelinase activity. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1344(3). 230–240. 49 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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