Dora Mahečić

1.4k total citations · 1 hit paper
9 papers, 937 citations indexed

About

Dora Mahečić is a scholar working on Biophysics, Molecular Biology and Structural Biology. According to data from OpenAlex, Dora Mahečić has authored 9 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biophysics, 4 papers in Molecular Biology and 2 papers in Structural Biology. Recurrent topics in Dora Mahečić's work include Advanced Fluorescence Microscopy Techniques (5 papers), Mitochondrial Function and Pathology (3 papers) and Optical Coherence Tomography Applications (2 papers). Dora Mahečić is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (5 papers), Mitochondrial Function and Pathology (3 papers) and Optical Coherence Tomography Applications (2 papers). Dora Mahečić collaborates with scholars based in Switzerland, France and Czechia. Dora Mahečić's co-authors include Suliana Manley, Tatjana Kleele, Thierry Pedrazzini, Mohamed Nemir, Francesco Ruberto, Sofia Zaganelli, Julius Winter, Timothy Wai, Timo Rey and Stefan Matile and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nature Methods.

In The Last Decade

Dora Mahečić

9 papers receiving 928 citations

Hit Papers

Distinct fission signatures predict mitochondrial degrada... 2021 2026 2022 2024 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dora Mahečić Switzerland 8 586 175 117 112 97 9 937
Daniel Neumann Germany 14 767 1.3× 151 0.9× 68 0.6× 89 0.8× 64 0.7× 31 1.1k
Karin B. Busch Germany 23 1.2k 2.1× 206 1.2× 114 1.0× 83 0.7× 190 2.0× 53 1.8k
Kenta Saito Japan 12 1.1k 1.9× 254 1.5× 74 0.6× 111 1.0× 39 0.4× 27 1.7k
Till Stephan Germany 13 515 0.9× 277 1.6× 33 0.3× 107 1.0× 120 1.2× 18 819
Justin Melunis United States 4 533 0.9× 193 1.1× 77 0.7× 213 1.9× 34 0.4× 4 829
Katarína Smolková Czechia 20 824 1.4× 135 0.8× 52 0.4× 54 0.5× 88 0.9× 38 1.3k
Stefan Stoldt Germany 14 571 1.0× 216 1.2× 33 0.3× 51 0.5× 102 1.1× 23 801
Daniel C. Jans Germany 16 1.1k 1.9× 171 1.0× 88 0.8× 100 0.9× 297 3.1× 23 1.3k
Heinrich J. Huber Ireland 24 1.1k 1.9× 78 0.4× 161 1.4× 97 0.9× 24 0.2× 68 1.8k
Miquel E. Cabañas Spain 17 438 0.7× 89 0.5× 75 0.6× 46 0.4× 24 0.2× 26 1.2k

Countries citing papers authored by Dora Mahečić

Since Specialization
Citations

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

Fields of papers citing papers by Dora Mahečić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dora Mahečić

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

All Works

9 of 9 papers shown
1.
Mahečić, Dora, et al.. (2022). Event-driven acquisition for content-enriched microscopy. Nature Methods. 19(10). 1262–1267. 59 indexed citations
2.
Kleele, Tatjana, Timo Rey, Julius Winter, et al.. (2021). Distinct fission signatures predict mitochondrial degradation or biogenesis. Nature. 593(7859). 435–439. 531 indexed citations breakdown →
3.
Mahečić, Dora, Lina Carlini, Tatjana Kleele, et al.. (2021). Mitochondrial membrane tension governs fission. Cell Reports. 35(2). 108947–108947. 58 indexed citations
4.
Descloux, A., Kristin S. Grußmayer, Vytautas Navikas, et al.. (2021). Experimental Combination of Super-Resolution Optical Fluctuation Imaging with Structured Illumination Microscopy for Large Fields-of-View. ACS Photonics. 8(8). 2440–2449. 14 indexed citations
5.
Mahečić, Dora, Davide Gambarotto, Kyle M. Douglass, et al.. (2020). Homogeneous multifocal excitation for high-throughput super-resolution imaging. Nature Methods. 17(7). 726–733. 53 indexed citations
6.
Mahečić, Dora, et al.. (2020). Characterization of flat-fielding systems for quantitative microscopy. Optics Express. 28(15). 22036–22036. 14 indexed citations
7.
Mahečić, Dora, Lina Carlini, Tatjana Kleele, et al.. (2019). Membrane Bending Energy and Tension Govern Mitochondrial Division. SSRN Electronic Journal. 1 indexed citations
8.
Mahečić, Dora, Ilaria Testa, Juliette Griffié, & Suliana Manley. (2019). Strategies for increasing the throughput of super-resolution microscopies. Current Opinion in Chemical Biology. 51. 84–91. 22 indexed citations
9.
Goujon, Antoine, Adai Colom, Karolína Straková, et al.. (2019). Mechanosensitive Fluorescent Probes to Image Membrane Tension in Mitochondria, Endoplasmic Reticulum, and Lysosomes. Journal of the American Chemical Society. 141(8). 3380–3384. 185 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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