Michał A. Surma

4.7k total citations
36 papers, 2.9k citations indexed

About

Michał A. Surma is a scholar working on Molecular Biology, Cell Biology and Biochemistry. According to data from OpenAlex, Michał A. Surma has authored 36 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 14 papers in Cell Biology and 9 papers in Biochemistry. Recurrent topics in Michał A. Surma's work include Lipid Membrane Structure and Behavior (13 papers), Metabolomics and Mass Spectrometry Studies (12 papers) and Cellular transport and secretion (11 papers). Michał A. Surma is often cited by papers focused on Lipid Membrane Structure and Behavior (13 papers), Metabolomics and Mass Spectrometry Studies (12 papers) and Cellular transport and secretion (11 papers). Michał A. Surma collaborates with scholars based in Germany, United States and Poland. Michał A. Surma's co-authors include Kai Simons, Christian Klose, Mathias J. Gerl, Andrej Shevchenko, Júlio L. Sampaio, Christer S. Ejsing, Robin W. Klemm, Felix Meyenhofer, Ronny Herzog and Xinwang Cao and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Michał A. Surma

36 papers receiving 2.8k citations

Peers

Countries citing papers authored by Michał A. Surma

Since Specialization

Citations

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

Fields of papers citing papers by Michał A. Surma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michał A. Surma. 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 Michał A. Surma. The network helps show where Michał A. Surma may publish in the future.

Co-authorship network of co-authors of Michał A. Surma

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Deficiency of the frontotemporal dementia gene GRN results in gangliosidosis 2022 ·Nature Communications ·Sebastian Boland, Sharan Swarup, (unknown), (unknown), (unknown), Alexander W. Fischer, Shubham Singh, Geetika Aggarwal, Salvatore Spina, Alissa L. Nana, Lea T. Grinberg, William W. Seeley, Michał A. Surma, Christian Klose, João A. Paulo, Andrew D. Nguyen, J. Wade Harper, Tobias C. Walther, Robert V. Farese	44
2	Ganglioside lipidomics of CNS myelination using direct infusion shotgun mass spectrometry 2022 ·iScience ·(unknown), Melanie Weber, Cyrus Papan, Markus Damm, Michał A. Surma, (unknown), Minou Djannatian, (unknown), (unknown), Ludger Johannes, Martina Schifferer, Christian Klose, Mikael Simons	4
3	Shortening of membrane lipid acyl chains compensates for phosphatidylcholine deficiency in choline‐auxotroph yeast 2021 ·The EMBO Journal ·Xue Bao, Martijn C. Koorengevel, Marian J.A. Groot Koerkamp, (unknown), A. Weijn, (unknown), Mike F. Renne, Joseph H. Lorent, Willie J. C. Geerts, Michał A. Surma, Muriel Mari, Frank C. P. Holstege, (unknown), Anton I.P.M. de Kroon	21
4	Adverse Effects of Refeeding on the Plasma Lipidome in Young Individuals With Anorexia Nervosa? 2021 ·Journal of the American Academy of Child & Adolescent Psychiatry ·Friederike I. Tam, Mathias J. Gerl, Christian Klose, Michał A. Surma, Joseph A. King, Maria Seidel, Kerstin Weidner, Veit Roessner, Kai Simons, Stefan Ehrlich	11
5	Mouse lipidomics reveals inherent flexibility of a mammalian lipidome 2021 ·Scientific Reports ·Michał A. Surma, Mathias J. Gerl, Ronny Herzog, Jussi Helppi, Kai Simons, Christian Klose	54
6	Diacylglycerol kinase and phospholipase D inhibitors alter the cellular lipidome and endosomal sorting towards the Golgi apparatus 2020 ·Cellular and Molecular Life Sciences ·(unknown), Simona Kavaliauskiene, (unknown), Tove Irene Klokk, Michał A. Surma, Christian Klose, Tore Skotland, Kirsten Sandvig	5
7	Principles of Membrane Adaptation Revealed through Environmentally Induced Bacterial Lipidome Remodeling 2020 ·Cell Reports ·Grzegorz Chwastek, Michał A. Surma, Sandra Rizk, (unknown), Oksana Lavrynenko, (unknown), Helena Jambor, James Sáenz	67
8	A Quantitative Analysis of Cellular Lipid Compositions During Acute Proteotoxic ER Stress Reveals Specificity in the Production of Asymmetric Lipids 2020 ·Frontiers in Cell and Developmental Biology ·John F. Reinhard, (unknown), (unknown), (unknown), Michał A. Surma, Christian Klose, Robert Ernst	24
9	Cell-Type- and Brain-Region-Resolved Mouse Brain Lipidome 2020 ·Cell Reports ·Dirk Fitzner, Jakob M. Bader, Horst Penkert, Caroline G. Bergner, Minhui Su, Marie‐Theres Weil, Michał A. Surma, Matthias Mann, Christian Klose, Mikael Simons	179
10	Cell Size and Growth Rate Are Modulated by TORC2-Dependent Signals 2017 ·Current Biology ·Rafael Lucena, (unknown), (unknown), (unknown), (unknown), Catherine Marquer, Christian Klose, Michał A. Surma, Douglas R. Kellogg	40
11	Large-scale human skin lipidomics by quantitative, high-throughput shotgun mass spectrometry 2017 ·Scientific Reports ·(unknown), Christian Klose, Mathias J. Gerl, (unknown), Ronny Herzog, Kai Simons, Adam Reich, Michał A. Surma	62
12	Heritability and responses to high fat diet of plasma lipidomics in a twin study 2017 ·Scientific Reports ·Turid Frahnow, Martin Osterhoff, Silke Hornemann, Michael Kruse, Michał A. Surma, Christian Klose, Kai Simons, Andreas Pfeiffer	29
13	High-content screening of yeast mutant libraries by shotgun lipidomics 2014 ·Molecular BioSystems ·Kirill V. Tarasov, (unknown), (unknown), Michał A. Surma, (unknown), Hans Kristian Hannibal‐Bach, Kim Ekroos, Christer S. Ejsing	25
14	Comparative Studies on Detergent-Assisted Apocytochrome b6 Reconstitution into Liposomal Bilayers Monitored by Zetasizer Instruments 2014 ·PLoS ONE ·Michał A. Surma, Andrzej Szczepaniak, Jarosław Króliczewski	12
15	Organellar lipidomics — background and perspectives 2013 ·Current Opinion in Cell Biology ·Christian Klose, Michał A. Surma, Kai Simons	113
16	Flexibility of a Eukaryotic Lipidome – Insights from Yeast Lipidomics 2012 ·PLoS ONE ·Christian Klose, Michał A. Surma, Mathias J. Gerl, Felix Meyenhofer, Andrej Shevchenko, Kai Simons	232
17	Polarized sorting and trafficking in epithelial cells 2012 ·Cell Research ·Xinwang Cao, Michał A. Surma, Kai Simons	111
18	Generic Sorting of Raft Lipids into Secretory Vesicles in Yeast 2011 ·Traffic ·Michał A. Surma, Christian Klose, Robin W. Klemm, Christer S. Ejsing, Kai Simons	60
19	Yeast Lipids Can Phase-separate into Micrometer-scale Membrane Domains 2010 ·Journal of Biological Chemistry ·Christian Klose, Christer S. Ejsing, Ana J. García‐Sáez, (unknown), Júlio L. Sampaio, Michał A. Surma, Andrej Shevchenko, Petra Schwille, Kai Simons	94
20	Segregation of sphingolipids and sterols during formation of secretory vesicles at the trans-Golgi network 2009 ·The Journal of Cell Biology ·Robin W. Klemm, Christer S. Ejsing, Michał A. Surma, Hermann-Josef Kaiser, Mathias J. Gerl, Júlio L. Sampaio, (unknown), Charles Ferguson, Tomasz J. Prószyński, Andrej Shevchenko, Kai Simons	316

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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