M. Steindel

713 total citations
3 papers, 7 citations indexed

About

M. Steindel is a scholar working on Molecular Biology, Surgery and Structural Biology. According to data from OpenAlex, M. Steindel has authored 3 papers receiving a total of 7 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Structural Biology. Recurrent topics in M. Steindel's work include Neurological diseases and metabolism (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper) and Platelet Disorders and Treatments (1 paper). M. Steindel is often cited by papers focused on Neurological diseases and metabolism (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper) and Platelet Disorders and Treatments (1 paper). M. Steindel collaborates with scholars based in United Kingdom, France and Austria. M. Steindel's co-authors include Katarzyna Kania, Tim Clausen, Irina Mohorianu, Moyra Lawrence, Vanda Lux, Susanne Bornelöv, Christopher A. Penfold, Cédric Ghevaert, Prisca Boisguérin and Michael Ehrmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Science Advances and Methods in molecular biology.

In The Last Decade

M. Steindel

2 papers receiving 7 citations

Peers

M. Steindel
Joel F. Reyes United States
Domenic Abbondanza United States
Brian Walsh United States
Ali M Alfalki United States
Zachary Knotts United States
Jonah Cool United States
Joel F. Reyes United States
M. Steindel
Citations per year, relative to M. Steindel M. Steindel (= 1×) peers Joel F. Reyes

Countries citing papers authored by M. Steindel

Since Specialization
Citations

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

Fields of papers citing papers by M. Steindel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Steindel

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

All Works

3 of 3 papers shown
1.
Lawrence, Moyra, Susanne Bornelöv, Thomas Moreau, et al.. (2022). Mapping the biogenesis of forward programmed megakaryocytes from induced pluripotent stem cells. Science Advances. 8(7). eabj8618–eabj8618. 3 indexed citations
2.
Steindel, M., et al.. (2022). Studying the Dynamics of Chromatin-Binding Proteins in Mammalian Cells Using Single-Molecule Localization Microscopy. Methods in molecular biology. 2476. 209–247.
3.
Lux, Vanda, M. Steindel, Prisca Boisguérin, et al.. (2022). An allosteric HTRA1-calpain 2 complex with restricted activation profile. Proceedings of the National Academy of Sciences. 119(14). e2113520119–e2113520119. 4 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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