Maria Romanova‐Michaelides

633 total citations
7 papers, 492 citations indexed

About

Maria Romanova‐Michaelides is a scholar working on Organic Chemistry, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maria Romanova‐Michaelides has authored 7 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Organic Chemistry, 4 papers in Cell Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maria Romanova‐Michaelides's work include Cellular transport and secretion (3 papers), Catalytic C–H Functionalization Methods (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Maria Romanova‐Michaelides is often cited by papers focused on Cellular transport and secretion (3 papers), Catalytic C–H Functionalization Methods (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Maria Romanova‐Michaelides collaborates with scholars based in Switzerland, United States and Germany. Maria Romanova‐Michaelides's co-authors include Fedor Romanov‐Michailidis, Tiffany Piou, Tomislav Rovis, Marion Pupier, Alexandre Alexakis, Robert S. Paton, Brooke Newell, Natthawat Semakul, Kelvin E. Jackson and Christopher D. Rithner and has published in prestigious journals such as Nature, Journal of the American Chemical Society and The Journal of Cell Biology.

In The Last Decade

Maria Romanova‐Michaelides

7 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Romanova‐Michaelides Switzerland 7 280 145 126 103 36 7 492
Chander Singh Digwal India 14 317 1.1× 292 2.0× 62 0.5× 19 0.2× 18 0.5× 26 582
Rambabu Reddi India 15 584 2.1× 164 1.1× 18 0.1× 72 0.7× 17 0.5× 22 705
Teng Ai United States 15 397 1.4× 252 1.7× 16 0.1× 80 0.8× 38 1.1× 22 624
Lewis Gazzard United States 11 181 0.6× 264 1.8× 25 0.2× 34 0.3× 9 0.3× 14 495
Jose L. Font United States 6 137 0.5× 188 1.3× 22 0.2× 50 0.5× 16 0.4× 8 344
Cyrille Lescop Switzerland 13 218 0.8× 190 1.3× 46 0.4× 14 0.1× 13 0.4× 21 402
Thai Nguyen United States 6 261 0.9× 108 0.7× 49 0.4× 19 0.2× 25 0.7× 7 373
Pierrik Lassalas France 7 309 1.1× 158 1.1× 18 0.1× 32 0.3× 24 0.7× 11 477
Angelica V. Carmona United States 4 292 1.0× 202 1.4× 14 0.1× 42 0.4× 20 0.6× 5 446
Subash Velaparthi United States 8 316 1.1× 220 1.5× 26 0.2× 19 0.2× 9 0.3× 11 481

Countries citing papers authored by Maria Romanova‐Michaelides

Since Specialization
Citations

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

Fields of papers citing papers by Maria Romanova‐Michaelides

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Romanova‐Michaelides. 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 Maria Romanova‐Michaelides. The network helps show where Maria Romanova‐Michaelides may publish in the future.

Co-authorship network of co-authors of Maria Romanova‐Michaelides

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

All Works

7 of 7 papers shown
1.
Romanova‐Michaelides, Maria, Zena Hadjivasiliou, Dimitris Basagiannis, et al.. (2021). Morphogen gradient scaling by recycling of intracellular Dpp. Nature. 602(7896). 287–293. 32 indexed citations
2.
Piou, Tiffany, Fedor Romanov‐Michailidis, Melissa A. Ashley, Maria Romanova‐Michaelides, & Tomislav Rovis. (2018). Stereodivergent Rhodium(III)-Catalyzed cis-Cyclopropanation Enabled by Multivariate Optimization. Journal of the American Chemical Society. 140(30). 9587–9593. 55 indexed citations
3.
Piou, Tiffany, Fedor Romanov‐Michailidis, Maria Romanova‐Michaelides, et al.. (2017). Correlating Reactivity and Selectivity to Cyclopentadienyl Ligand Properties in Rh(III)-Catalyzed C–H Activation Reactions: An Experimental and Computational Study. Journal of the American Chemical Society. 139(3). 1296–1310. 168 indexed citations
4.
Romanova‐Michaelides, Maria, et al.. (2015). The wing and the eye: a parsimonious theory for scaling and growth control?. Wiley Interdisciplinary Reviews Developmental Biology. 4(6). 591–608. 16 indexed citations
5.
Romanov‐Michailidis, Fedor, Maria Romanova‐Michaelides, Marion Pupier, & Alexandre Alexakis. (2015). Enantioselective Halogenative Semi‐Pinacol Rearrangement: Extension of Substrate Scope and Mechanistic Investigations. Chemistry - A European Journal. 21(14). 5561–5583. 83 indexed citations
6.
Fujita, Morihisa, Reika Watanabe, Maria Romanova‐Michaelides, et al.. (2011). Sorting of GPI-anchored proteins into ER exit sites by p24 proteins is dependent on remodeled GPI. The Journal of Cell Biology. 194(1). 61–75. 104 indexed citations
7.
Castillon, Guillaume A., et al.. (2010). Exit of GPI-Anchored Proteins from the ER Differs in Yeast and Mammalian Cells. Traffic. 11(8). 1017–1033. 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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