Max Lönnfors

498 total citations
18 papers, 405 citations indexed

About

Max Lönnfors is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, Max Lönnfors has authored 18 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Cell Biology and 3 papers in Organic Chemistry. Recurrent topics in Max Lönnfors's work include Lipid Membrane Structure and Behavior (14 papers), Sphingolipid Metabolism and Signaling (11 papers) and Cellular transport and secretion (6 papers). Max Lönnfors is often cited by papers focused on Lipid Membrane Structure and Behavior (14 papers), Sphingolipid Metabolism and Signaling (11 papers) and Cellular transport and secretion (6 papers). Max Lönnfors collaborates with scholars based in Finland, United States and Japan. Max Lönnfors's co-authors include J. Peter Slotte, Thomas K.M. Nyholm, J. Antoinette Killian, Vytas A. Bankaitis, Joel H. Nyström, Anders Björkbom, Ashutosh Tripathi, Tomasz Róg, Ilpo Vattulainen and Karol Kaszuba and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Max Lönnfors

17 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max Lönnfors Finland 13 346 98 80 39 34 18 405
Aniruddha Panda United States 6 357 1.0× 175 1.8× 46 0.6× 16 0.4× 31 0.9× 12 440
Wendy S. Smith United Kingdom 8 329 1.0× 101 1.0× 125 1.6× 20 0.5× 27 0.8× 10 463
Maria Szomek Denmark 10 205 0.6× 59 0.6× 74 0.9× 33 0.8× 19 0.6× 23 336
Hermann-Josef Kaiser Germany 5 474 1.4× 326 3.3× 163 2.0× 13 0.3× 26 0.8× 6 654
Chi Zhao United States 9 331 1.0× 118 1.2× 39 0.5× 20 0.5× 18 0.5× 17 418
Carla M. Rosetti Argentina 13 416 1.2× 48 0.5× 29 0.4× 94 2.4× 121 3.6× 15 455
Maria E. Falzone United States 10 379 1.1× 110 1.1× 102 1.3× 5 0.1× 21 0.6× 15 453
René J.W. de Wit Netherlands 10 293 0.8× 165 1.7× 35 0.4× 43 1.1× 11 0.3× 14 421
Tatiana P. Rogasevskaia Canada 12 441 1.3× 287 2.9× 86 1.1× 8 0.2× 16 0.5× 13 521

Countries citing papers authored by Max Lönnfors

Since Specialization
Citations

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

Fields of papers citing papers by Max Lönnfors

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Lönnfors

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

All Works

18 of 18 papers shown
1.
Lönnfors, Max, et al.. (2024). Effect of phosphatidylcholine regioisomerism on lateral segregation of milk sphingomyelin in bilayer membranes. Chemistry and Physics of Lipids. 265. 105445–105445.
2.
Lönnfors, Max, et al.. (2023). Glycolipid transfer protein knockout disrupts vesicle trafficking to the plasma membrane. Journal of Biological Chemistry. 299(4). 104607–104607. 7 indexed citations
3.
Tripathi, Ashutosh, Max Lönnfors, Michal Eisenberg‐Bord, et al.. (2020). Noncanonical regulation of phosphatidylserine metabolism by a Sec14-like protein and a lipid kinase. The Journal of Cell Biology. 219(5). 14 indexed citations
4.
Tripathi, Ashutosh, Ahmad J. Obaidullah, Max Lönnfors, et al.. (2019). Functional diversification of the chemical landscapes of yeast Sec14-like phosphatidylinositol transfer protein lipid-binding cavities. Journal of Biological Chemistry. 294(50). 19081–19098. 15 indexed citations
5.
Koe, Chwee Tat, Ye Sing Tan, Max Lönnfors, et al.. (2018). Vibrator and PI4KIIIα govern neuroblast polarity by anchoring non-muscle myosin II. eLife. 7. 20 indexed citations
6.
Orłowski, Adam, Ashutosh Tripathi, Matti Javanainen, et al.. (2017). Dynamics and energetics of the mammalian phosphatidylinositol transfer protein phospholipid exchange cycle. Journal of Biological Chemistry. 292(35). 14438–14455. 30 indexed citations
7.
Huang, Jin, Ratna Ghosh, Ashutosh Tripathi, et al.. (2016). Two-ligand priming mechanism for potentiated phosphoinositide synthesis is an evolutionarily conserved feature of Sec14-like phosphatidylinositol and phosphatidylcholine exchange proteins. Molecular Biology of the Cell. 27(14). 2317–2330. 22 indexed citations
8.
Lönnfors, Max, et al.. (2015). Metabolic Conversion of Ceramides in HeLa Cells - A Cholesteryl Phosphocholine Delivery Approach. PLoS ONE. 10(11). e0143385–e0143385. 14 indexed citations
9.
Yasuda, Tomokazu, Nobuaki Matsumori, Hiroshi Tsuchikawa, et al.. (2015). Formation of Gel-like Nanodomains in Cholesterol-Containing Sphingomyelin or Phosphatidylcholine Binary Membrane As Examined by Fluorescence Lifetimes and 2H NMR Spectra. Langmuir. 31(51). 13783–13792. 22 indexed citations
10.
Lönnfors, Max, et al.. (2014). A detailed analysis of partial molecular volumes in DPPC/cholesterol binary bilayers. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1838(12). 3069–3077. 17 indexed citations
11.
Sukumaran, Pramod, Max Lönnfors, Otto Långvik, et al.. (2013). Complexation of C6-Ceramide with Cholesteryl Phosphocholine – A Potent Solvent-Free Ceramide Delivery Formulation for Cells in Culture. PLoS ONE. 8(4). e61290–e61290. 4 indexed citations
12.
Lönnfors, Max, Otto Långvik, Anders Björkbom, & J. Peter Slotte. (2013). Cholesteryl Phosphocholine – A Study on Its Interactions with Ceramides and Other Membrane Lipids. Langmuir. 29(7). 2319–2329. 17 indexed citations
13.
Lönnfors, Max, et al.. (2012). Sterol affinity for phospholipid bilayers is influenced by hydrophobic matching between lipids and transmembrane peptides. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1828(3). 932–937. 9 indexed citations
14.
Lönnfors, Max, et al.. (2011). Sterols Have Higher Affinity for Sphingomyelin than for Phosphatidylcholine Bilayers even at Equal Acyl-Chain Order. Biophysical Journal. 100(11). 2633–2641. 84 indexed citations
15.
Lönnfors, Max, Oskar Engberg, Blake R. Peterson, & J. Peter Slotte. (2011). Interaction of 3β-Amino-5-cholestene with Phospholipids in Binary and Ternary Bilayer Membranes. Langmuir. 28(1). 648–655. 8 indexed citations
16.
Lönnfors, Max, et al.. (2010). Membrane bilayer properties of sphingomyelins with amide-linked 2- or 3-hydroxylated fatty acids. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1808(3). 727–732. 22 indexed citations
17.
Björkbom, Anders, Tomasz Róg, Karol Kaszuba, et al.. (2010). Effect of Sphingomyelin Headgroup Size on Molecular Properties and Interactions with Cholesterol. Biophysical Journal. 99(10). 3300–3308. 67 indexed citations
18.
Nyström, Joel H., Max Lönnfors, & Thomas K.M. Nyholm. (2010). Transmembrane Peptides Influence the Affinity of Sterols for Phospholipid Bilayers. Biophysical Journal. 99(2). 526–533. 33 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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