Natalie Holroyd

474 total citations · 1 hit paper
8 papers, 216 citations indexed

About

Natalie Holroyd is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biophysics. According to data from OpenAlex, Natalie Holroyd has authored 8 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Biophysics. Recurrent topics in Natalie Holroyd's work include Cell Image Analysis Techniques (4 papers), Single-cell and spatial transcriptomics (2 papers) and AI in cancer detection (2 papers). Natalie Holroyd is often cited by papers focused on Cell Image Analysis Techniques (4 papers), Single-cell and spatial transcriptomics (2 papers) and AI in cancer detection (2 papers). Natalie Holroyd collaborates with scholars based in United Kingdom, France and Sweden. Natalie Holroyd's co-authors include Simon Walker‐Samuel, Claire Walsh, Emmeline Brown, Danny Jonigk, Sebastian Marussi, Jan Lukas Robertus, Peter Lee, Daniyal J. Jafree, Joseph Jacob and David A. Long and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Methods.

In The Last Decade

Natalie Holroyd

8 papers receiving 206 citations

Hit Papers

Imaging intact human organs with local resolution of cell... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalie Holroyd United Kingdom 6 81 64 49 35 23 8 216
Natalia Chicherova Switzerland 7 94 1.2× 115 1.8× 61 1.2× 20 0.6× 31 1.3× 11 228
Jonas Albers Germany 10 129 1.6× 176 2.8× 114 2.3× 29 0.8× 13 0.6× 25 323
Florence W. Patten United States 7 51 0.6× 23 0.4× 104 2.1× 27 0.8× 77 3.3× 11 362
Thomas Grenier France 10 140 1.7× 9 0.1× 58 1.2× 21 0.6× 16 0.7× 39 346
Lucas-Raphael Müller Germany 4 80 1.0× 193 3.0× 72 1.5× 44 1.3× 150 6.5× 5 405
Han Sang Park South Korea 12 98 1.2× 23 0.4× 110 2.2× 35 1.0× 88 3.8× 32 443
Zhye Yin United States 11 273 3.4× 61 1.0× 269 5.5× 18 0.5× 8 0.3× 50 370
Hector Dejea Switzerland 9 64 0.8× 92 1.4× 61 1.2× 25 0.7× 2 0.1× 27 240
Yilin Luo United States 9 102 1.3× 26 0.4× 217 4.4× 35 1.0× 109 4.7× 22 448
Eunjung Min South Korea 9 27 0.3× 42 0.7× 147 3.0× 10 0.3× 126 5.5× 13 292

Countries citing papers authored by Natalie Holroyd

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Holroyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Holroyd

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

All Works

8 of 8 papers shown
1.
Brown, Emmeline, Natalie Holroyd, Paul W. Sweeney, et al.. (2024). Physics-informed deep generative learning for quantitative assessment of the retina. Nature Communications. 15(1). 6859–6859. 9 indexed citations
2.
Walsh, Claire, Maxime Berg, Hannah D. West, et al.. (2024). Reconstructing microvascular network skeletons from 3D images: What is the ground truth?. Computers in Biology and Medicine. 171. 108140–108140. 5 indexed citations
3.
Holroyd, Natalie, et al.. (2023). Quantitative Image Processing for Three-Dimensional Episcopic Images of Biological Structures: Current State and Future Directions. Biomedicines. 11(3). 909–909. 1 indexed citations
4.
Berg, Maxime, Natalie Holroyd, Claire Walsh, et al.. (2022). Challenges and opportunities of integrating imaging and mathematical modelling to interrogate biological processes. The International Journal of Biochemistry & Cell Biology. 146. 106195–106195. 10 indexed citations
5.
Walsh, Claire, Paul Tafforeau, Willi L. Wagner, et al.. (2021). Imaging intact human organs with local resolution of cellular structures using hierarchical phase-contrast tomography. Nature Methods. 18(12). 1532–1541. 162 indexed citations breakdown →
6.
Walsh, Claire, Natalie Holroyd, Sean G. Ryan, et al.. (2021). Multifluorescence High‐Resolution Episcopic Microscopy for 3D Imaging of Adult Murine Organs. SHILAP Revista de lepidopterología. 2(10). 8 indexed citations
7.
Holroyd, Natalie, et al.. (2019). Modular type I polyketide synthase acyl carrier protein domains share a common N-terminally extended fold. Scientific Reports. 9(1). 2325–2325. 12 indexed citations
8.
Holroyd, Natalie, Els Pardon, Jarne Pauwels, et al.. (2018). Challenges in the Structural–Functional Characterization of Multidomain, Partially Disordered Proteins CBP and p300: Preparing Native Proteins and Developing Nanobody Tools. Methods in enzymology on CD-ROM/Methods in enzymology. 611. 607–675. 9 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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