Rachel A. McKendry

7.5k total citations · 5 hit papers
69 papers, 4.5k citations indexed

About

Rachel A. McKendry is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Rachel A. McKendry has authored 69 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atomic and Molecular Physics, and Optics, 25 papers in Biomedical Engineering and 21 papers in Molecular Biology. Recurrent topics in Rachel A. McKendry's work include Force Microscopy Techniques and Applications (23 papers), Mechanical and Optical Resonators (21 papers) and Biosensors and Analytical Detection (14 papers). Rachel A. McKendry is often cited by papers focused on Force Microscopy Techniques and Applications (23 papers), Mechanical and Optical Resonators (21 papers) and Biosensors and Analytical Detection (14 papers). Rachel A. McKendry collaborates with scholars based in United Kingdom, United States and South Africa. Rachel A. McKendry's co-authors include Benjamin S. Miller, Molly M. Stevens, Chris Abell, Trevor Rayment, Torsten Strunz, Eleanor R. Gray, H.P. Lang, Martin Hegner, Deenan Pillay and Ingemar J. Cox and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Rachel A. McKendry

69 papers receiving 4.4k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Digital technologies in the public-health response to COVID-19

2020 693 citations Jobie Budd, Benjamin S. Miller et al. Nature Medicine profile →
Multiple label-free biodetection and quantitative DNA-binding assays on a nanomechanical cantilever array

2002 472 citations Rachel A. McKendry et al. profile →
Spin-enhanced nanodiamond biosensing for ultrasensitive diagnostics

2020 261 citations Benjamin S. Miller, Léonard Bezinge et al. Nature profile →
Taking connected mobile-health diagnostics of infectious diseases to the field

2019 224 citations Michael R. Thomas, Jobie Budd et al. Nature profile →
Machine learning in point-of-care testing: innovations, challenges, and opportunities

2025 47 citations Gyeo‐Re Han, Merve Eryılmaz et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rachel A. McKendry United Kingdom	30	1.6k	1.3k	1.3k	936	551	69	4.5k
Pushpendra Singh India	46	1.0k 0.7×	521 0.4×	418 0.3×	1.6k 1.8×	587 1.1×	578	8.4k
Chris Lee United States	43	572 0.4×	736 0.6×	487 0.4×	1.0k 1.1×	77 0.1×	308	7.3k
Derek Tseng United States	31	2.9k 1.8×	1.6k 1.2×	854 0.7×	425 0.5×	546 1.0×	62	4.3k
Jim Williams Australia	53	365 0.2×	3.9k 2.9×	2.4k 1.9×	493 0.5×	1.0k 1.8×	422	11.1k
Alan Cooper United Kingdom	49	443 0.3×	4.6k 3.5×	467 0.4×	150 0.2×	283 0.5×	232	9.4k
Ahmet F. Coskun United States	29	2.0k 1.3×	1.1k 0.8×	1.0k 0.8×	444 0.5×	190 0.3×	77	3.6k
Paul Yager United States	56	9.6k 6.0×	5.1k 3.9×	442 0.3×	2.4k 2.5×	968 1.8×	197	13.0k
Brian T. Cunningham United States	56	5.9k 3.7×	3.3k 2.5×	3.7k 2.8×	3.8k 4.1×	797 1.4×	312	10.5k
Patrick C. Mathias United States	22	666 0.4×	380 0.3×	604 0.5×	432 0.5×	510 0.9×	59	1.9k
Dean Ho United States	47	3.7k 2.3×	1.5k 1.1×	859 0.7×	593 0.6×	138 0.3×	171	10.2k

Countries citing papers authored by Rachel A. McKendry

Since Specialization

Citations

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

Fields of papers citing papers by Rachel A. McKendry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel A. McKendry. 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 Rachel A. McKendry. The network helps show where Rachel A. McKendry may publish in the future.

Co-authorship network of co-authors of Rachel A. McKendry

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Han, Gyeo‐Re, Merve Eryılmaz, Rajesh Ghosh, et al.. (2025). Machine learning in point-of-care testing: innovations, challenges, and opportunities. Nature Communications. 16(1). 3165–3165. 47 indexed citations breakdown →

Atchison, Christina, Maya Moshe, Jonathan C. Brown, et al.. (2022). Validity of Self-testing at Home With Rapid Severe Acute Respiratory Syndrome Coronavirus 2 Antibody Detection by Lateral Flow Immunoassay. Clinical Infectious Diseases. 76(4). 658–666. 9 indexed citations

Miller, Benjamin S., Michael R. Thomas, Qingshan Wei, et al.. (2022). Sub-picomolar lateral flow antigen detection with two-wavelength imaging of composite nanoparticles. Biosensors and Bioelectronics. 207. 114133–114133. 16 indexed citations

Turbé, Valérian, Matthew Whitaker, Maya Moshe, et al.. (2022). Machine learning to support visual auditing of home-based lateral flow immunoassay self-test results for SARS-CoV-2 antibodies. SHILAP Revista de lepidopterología. 2(1). 78–78. 22 indexed citations

Brookes, Jennifer C., Eleanor R. Gray, Colleen N. Loynachan, et al.. (2022). Thermodynamic analysis of an entropically driven, high-affinity nanobody-HIV p24 interaction. Biophysical Journal. 122(2). 279–289. 1 indexed citations

Huang, Da, et al.. (2021). Harnessing recombinase polymerase amplification for rapid multi-gene detection of SARS-CoV-2 in resource-limited settings. Biosensors and Bioelectronics. 189. 113328–113328. 56 indexed citations

Turbé, Valérian, Carina Herbst, Thobeka Mngomezulu, et al.. (2021). Deep learning of HIV field-based rapid tests. Nature Medicine. 27(7). 1165–1170. 83 indexed citations

Buckingham, Steven D., Frederick A. Partridge, Benjamin S. Miller, et al.. (2021). Automated phenotyping of mosquito larvae enables high-throughput screening for novel larvicides and offers potential for smartphone-based detection of larval insecticide resistance. PLoS neglected tropical diseases. 15(6). e0008639–e0008639. 8 indexed citations

Budd, Jobie, Benjamin S. Miller, Erin Manning, et al.. (2020). Digital technologies in the public-health response to COVID-19. Nature Medicine. 26(8). 1183–1192. 693 indexed citations breakdown →

10.

Miller, Benjamin S., Léonard Bezinge, Harriet D. Gliddon, et al.. (2020). Spin-enhanced nanodiamond biosensing for ultrasensitive diagnostics. Nature. 587(7835). 588–593. 261 indexed citations breakdown →

11.

Gray, Eleanor R., Valérian Turbé, V. Lawson, et al.. (2018). Ultra-rapid, sensitive and specific digital diagnosis of HIV with a dual-channel SAW biosensor in a pilot clinical study. npj Digital Medicine. 1(1). 35–35. 39 indexed citations

12.

Sobarzo, Ariel, Claudio Parolo, Benjamin S. Miller, et al.. (2018). A Serological Point-of-Care Test for the Detection of IgG Antibodies against Ebola Virus in Human Survivors. ACS Nano. 12(1). 63–73. 165 indexed citations

13.

Miller, Benjamin S., et al.. (2018). Quantifying Biomolecular Binding Constants using Video Paper Analytical Devices. Chemistry - A European Journal. 24(39). 9783–9787. 19 indexed citations

14.

Wenham, Clare, Eleanor R. Gray, Matthew Donati, et al.. (2018). Self-Swabbing for Virological Confirmation of Influenza-Like Illness Among an Internet-Based Cohort in the UK During the 2014-2015 Flu Season: Pilot Study. Journal of Medical Internet Research. 20(3). e71–e71. 11 indexed citations

15.

Gray, Eleanor R., Robert Bain, Olivia Varsaneux, et al.. (2018). p24 revisited. AIDS. 32(15). 2089–2102. 43 indexed citations

16.

Adeagbo, Oluwafemi, Carina Herbst, Pam Sonnenberg, et al.. (2018). "If She Tests Negative, It Means I Am Also Negative": Men's Construction of HIV Testing in South Africa. UCL Discovery (University College London). 1 indexed citations

17.

Gray, Eleanor R., Jennifer C. Brookes, Christophe Caillat, et al.. (2017). Unravelling the Molecular Basis of High Affinity Nanobodies against HIV p24: In Vitro Functional, Structural, and in Silico Insights. ACS Infectious Diseases. 3(7). 479–491. 36 indexed citations

18.

Turbé, Valérian, Eleanor R. Gray, V. Lawson, et al.. (2017). Towards an ultra-rapid smartphone- connected test for infectious diseases. Scientific Reports. 7(1). 11971–11971. 44 indexed citations

19.

Loynachan, Colleen N., Michael R. Thomas, Eleanor R. Gray, et al.. (2017). Platinum Nanocatalyst Amplification: Redefining the Gold Standard for Lateral Flow Immunoassays with Ultrabroad Dynamic Range. ACS Nano. 12(1). 279–288. 336 indexed citations

20.

Sánchez, A., et al.. (2017). Tuneable plasmonic gold dendrimer nanochains for sensitive disease detection. Journal of Materials Chemistry B. 5(35). 7262–7266. 16 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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