Michele C. Darrow

1.4k total citations
33 papers, 727 citations indexed

About

Michele C. Darrow is a scholar working on Structural Biology, Molecular Biology and Surfaces, Coatings and Films. According to data from OpenAlex, Michele C. Darrow has authored 33 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Structural Biology, 14 papers in Molecular Biology and 12 papers in Surfaces, Coatings and Films. Recurrent topics in Michele C. Darrow's work include Advanced Electron Microscopy Techniques and Applications (21 papers), Electron and X-Ray Spectroscopy Techniques (12 papers) and Advanced X-ray Imaging Techniques (6 papers). Michele C. Darrow is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (21 papers), Electron and X-Ray Spectroscopy Techniques (12 papers) and Advanced X-ray Imaging Techniques (6 papers). Michele C. Darrow collaborates with scholars based in United Kingdom, United States and Germany. Michele C. Darrow's co-authors include Chandan Shee, Susan M. Rosenberg, Caleb González, Janet L. Gibson, Matthew C. Spink, Elizabeth Duke, Wah Chiu, Maria Harkiolaki, James H. Naismith and Kyle C. Dent and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Michele C. Darrow

32 papers receiving 717 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele C. Darrow United Kingdom 16 316 307 145 120 109 33 727
Philipp S. Erdmann Germany 16 454 1.4× 284 0.9× 139 1.0× 51 0.4× 63 0.6× 30 823
Sebastian Tacke Germany 9 624 2.0× 257 0.8× 129 0.9× 36 0.3× 57 0.5× 13 1.1k
Miriam S. Lucas Switzerland 11 224 0.7× 167 0.5× 65 0.4× 132 1.1× 79 0.7× 18 666
Matthias Eibauer Switzerland 18 978 3.1× 559 1.8× 256 1.8× 122 1.0× 125 1.1× 22 1.5k
Bettina Keszthelyi United States 6 335 1.1× 159 0.5× 70 0.5× 54 0.5× 76 0.7× 6 616
Arjen J. Jakobi Netherlands 18 849 2.7× 321 1.0× 147 1.0× 71 0.6× 39 0.4× 37 1.3k
Rudo Grimm Germany 9 592 1.9× 471 1.5× 259 1.8× 112 0.9× 61 0.6× 10 971
Jochen Böhm Germany 6 311 1.0× 284 0.9× 130 0.9× 28 0.2× 57 0.5× 8 670
Sahradha Albert Germany 13 735 2.3× 367 1.2× 157 1.1× 53 0.4× 83 0.8× 18 1.1k
Nathalie Sartori Blanc Switzerland 6 771 2.4× 321 1.0× 126 0.9× 58 0.5× 74 0.7× 6 1.1k

Countries citing papers authored by Michele C. Darrow

Since Specialization
Citations

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

Fields of papers citing papers by Michele C. Darrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michele C. Darrow. 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 Michele C. Darrow. The network helps show where Michele C. Darrow may publish in the future.

Co-authorship network of co-authors of Michele C. Darrow

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

All Works

20 of 20 papers shown
1.
Glen, Thomas, Sven Klumpe, Jianguo Zhang, et al.. (2025). Reduction of SEM charging artefacts in native cryogenic biological samples. Nature Communications. 16(1). 5204–5204.
2.
Marshall, Karen E., Matthew C. Spink, Michele C. Darrow, et al.. (2024). Correlative cryo-soft X-ray tomography and cryo-structured illumination microscopy reveal changes to lysosomes in amyloid-β-treated neurons. Structure. 32(5). 585–593.e3. 4 indexed citations
3.
Parkhurst, James M., Trond Varslot, Maud Dumoux, et al.. (2024). Pillar data-acquisition strategies for cryo-electron tomography of beam-sensitive biological samples. Acta Crystallographica Section D Structural Biology. 80(6). 421–438. 1 indexed citations
4.
Collinson, Lucy, Carles Bosch, Anwen Bullen, et al.. (2023). Volume EM: a quiet revolution takes shape. Nature Methods. 20(6). 777–782. 44 indexed citations
5.
Smith, Patricia C., Oliver N. F. King, Win Tun, et al.. (2023). Online citizen science with the Zooniverse for analysis of biological volumetric data. Histochemistry and Cell Biology. 160(3). 253–276. 5 indexed citations
6.
Dumoux, Maud, Thomas Glen, John M. Mitchels, et al.. (2023). Plasma FIB milling for the determination of structures in situ. Nature Communications. 14(1). 629–629. 70 indexed citations
7.
Dumoux, Maud, Thomas Glen, Luı́s M. A. Perdigão, et al.. (2023). Cryo-plasma FIB/SEM volume imaging of biological specimens. eLife. 12. 32 indexed citations
8.
Perdigão, Luı́s M. A., Thomas Glen, Liang Wu, et al.. (2023). Okapi-EM: A napari plugin for processing and analyzing cryogenic serial focused ion beam/scanning electron microscopy images. SHILAP Revista de lepidopterología. 3. e9–e9. 2 indexed citations
9.
Darrow, Michele C., et al.. (2023). Structural basis of substrate progression through the bacterial chaperonin cycle. Proceedings of the National Academy of Sciences. 120(50). e2308933120–e2308933120. 7 indexed citations
10.
King, Oliver N. F., et al.. (2022). SuRVoS 2: Accelerating Annotation and Segmentation for Large Volumetric Bioimage Workflows Across Modalities and Scales. Frontiers in Cell and Developmental Biology. 10. 842342–842342. 10 indexed citations
11.
Weckener, Miriam, James H. Naismith, Catherine L. Drennan, et al.. (2022). Approaches to Using the Chameleon: Robust, Automated, Fast-Plunge cryoEM Specimen Preparation. Frontiers in Molecular Biosciences. 9. 903148–903148. 21 indexed citations
12.
Tun, Win, Gowsihan Poologasundarampillai, Helen Bischof, et al.. (2021). A massively multi-scale approach to characterizing tissue architecture by synchrotron micro-CT applied to the human placenta. Journal of The Royal Society Interface. 18(179). 20210140–20210140. 22 indexed citations
13.
14.
Klebl, David P., Dimitrios Kontziampasis, David Wright, et al.. (2020). Need for Speed: Examining Protein Behavior during CryoEM Grid Preparation at Different Timescales. Structure. 28(11). 1238–1248.e4. 57 indexed citations
15.
Darrow, Michele C., et al.. (2019). chameleon: next-generation sample preparation for cryo-EM based on Spotiton. Acta Crystallographica Section A Foundations and Advances. 75(a1). a422–a422. 1 indexed citations
16.
Bateman, Benji, Laura C. Zanetti-Domingues, C. Spindloe, et al.. (2019). Solid immersion microscopy images cells under cryogenic conditions with 12 nm resolution. Communications Biology. 2(1). 74–74. 46 indexed citations
17.
Bodey, Andrew J., et al.. (2018). Optimising complementary soft tissue synchrotron X-ray microtomography for reversibly-stained central nervous system samples. Scientific Reports. 8(1). 12017–12017. 40 indexed citations
18.
Darrow, Michele C., Imanol Luengo, Mark Basham, et al.. (2017). Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-region Volume Segmentation) Workbench. Journal of Visualized Experiments. 6 indexed citations
19.
Luengo, Imanol, Michele C. Darrow, Matthew C. Spink, et al.. (2017). SuRVoS: Super-Region Volume Segmentation workbench. Journal of Structural Biology. 198(1). 43–53. 62 indexed citations
20.
Darrow, Michele C., Oksana A. Sergeeva, J. Mario Isas, et al.. (2015). Structural Mechanisms of Mutant Huntingtin Aggregation Suppression by the Synthetic Chaperonin-like CCT5 Complex Explained by Cryoelectron Tomography. Journal of Biological Chemistry. 290(28). 17451–17461. 30 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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