Andrew D. Farmery

2.1k total citations · 1 hit paper
81 papers, 1.4k citations indexed

About

Andrew D. Farmery is a scholar working on Pulmonary and Respiratory Medicine, Biomedical Engineering and Surgery. According to data from OpenAlex, Andrew D. Farmery has authored 81 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Pulmonary and Respiratory Medicine, 19 papers in Biomedical Engineering and 18 papers in Surgery. Recurrent topics in Andrew D. Farmery's work include Respiratory Support and Mechanisms (31 papers), Non-Invasive Vital Sign Monitoring (13 papers) and Renal function and acid-base balance (12 papers). Andrew D. Farmery is often cited by papers focused on Respiratory Support and Mechanisms (31 papers), Non-Invasive Vital Sign Monitoring (13 papers) and Renal function and acid-base balance (12 papers). Andrew D. Farmery collaborates with scholars based in United Kingdom, Sweden and United States. Andrew D. Farmery's co-authors include P.G. ROE, C.E.W. Hahn, Federico Formenti, Nazmul Karim, Kostya S. Novoselov, Daria V. Andreeva, Chris Carr, Il‐Doo Kim, Shaila Afroj and Kate Lloyd and has published in prestigious journals such as ACS Nano, Scientific Reports and Journal of Applied Physiology.

In The Last Decade

Andrew D. Farmery

77 papers receiving 1.3k citations

Hit Papers

Sustainable Personal Protective Clothing for Healthcare A... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew D. Farmery United Kingdom 17 407 365 172 164 163 81 1.4k
Stefan Schumann Germany 24 960 2.4× 391 1.1× 286 1.7× 32 0.2× 308 1.9× 147 1.8k
Xiaojing Huang China 27 106 0.3× 404 1.1× 166 1.0× 49 0.3× 64 0.4× 116 2.1k
Chiara Bianchini Italy 21 150 0.4× 119 0.3× 225 1.3× 37 0.2× 43 0.3× 127 2.0k
Qian Wu China 22 142 0.3× 418 1.1× 462 2.7× 67 0.4× 20 0.1× 148 1.9k
Hitoshi Yoshida Japan 24 213 0.5× 171 0.5× 348 2.0× 36 0.2× 100 0.6× 147 1.8k
Hye Won Lee South Korea 23 466 1.1× 295 0.8× 632 3.7× 85 0.5× 153 0.9× 190 2.0k
Sam Soo Kim South Korea 29 376 0.9× 454 1.2× 380 2.2× 428 2.6× 18 0.1× 125 3.2k
Amit Prabhakar United States 20 79 0.2× 491 1.3× 475 2.8× 114 0.7× 180 1.1× 66 1.3k
Shunji Kasaoka Japan 28 356 0.9× 203 0.6× 478 2.8× 218 1.3× 67 0.4× 89 2.0k
Jun Ho Lee South Korea 27 338 0.8× 150 0.4× 661 3.8× 213 1.3× 17 0.1× 89 2.6k

Countries citing papers authored by Andrew D. Farmery

Since Specialization
Citations

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

Fields of papers citing papers by Andrew D. Farmery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew D. Farmery. 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 Andrew D. Farmery. The network helps show where Andrew D. Farmery may publish in the future.

Co-authorship network of co-authors of Andrew D. Farmery

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew D. Farmery. A scholar is included among the top collaborators of Andrew D. Farmery 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 Andrew D. Farmery. Andrew D. Farmery 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.
Bruce, Richard, Marzia Rigolli, Minh C. Tran, et al.. (2021). Assessment of Ventilatory Heterogeneity in Chronic Obstructive Pulmonary Disease Using the Inspired Sinewave Test. International Journal of COPD. Volume 16. 401–413. 1 indexed citations
2.
Tran, Minh C., João Batista Borges, Göran Hedenstierna, et al.. (2021). Bedside monitoring of lung volume available for gas exchange. Intensive Care Medicine Experimental. 9(1). 3–3. 4 indexed citations
3.
Tran, Minh C., Federico Formenti, Göran Hedenstierna, et al.. (2020). Lung heterogeneity and deadspace volume in animals with acute respiratory distress syndrome using the inspired sinewave test. Physiological Measurement. 41(11). 115009–115009. 4 indexed citations
4.
Farmery, Andrew D., et al.. (2019). Mechanical Ventilation Redistributes Blood to Poorly Ventilated Areas in Experimental Lung Injury*. Critical Care Medicine. 48(3). e200–e208. 14 indexed citations
5.
Edwards, Thomas L., Kanmin Xue, Maarten Beelen, et al.. (2018). A first-in-man trial assessing robotic surgery inside the human eye to perform a subretinal injection. Investigative Ophthalmology & Visual Science. 59(9). 5936–5936. 1 indexed citations
6.
Bommakanti, Nikhil, C.E.W. Hahn, Göran Hedenstierna, et al.. (2018). Tidal changes in PaO2 and their relationship to cyclical lung recruitment/derecruitment in a porcine lung injury model. British Journal of Anaesthesia. 122(2). 277–285. 11 indexed citations
7.
Zhang, Cathy, et al.. (2017). The Inspired Sinewave Technique: A Comparison Study With Body Plethysmography in Healthy Volunteers. IEEE Journal of Translational Engineering in Health and Medicine. 5. 1–9. 5 indexed citations
8.
Clifton, Lei, et al.. (2015). A non-invasive method for estimating lung function. Oxford University Research Archive (ORA) (University of Oxford). 5(3). 2–5. 1 indexed citations
10.
Farmery, Andrew D., et al.. (2014). Body temperature and its regulation. Anaesthesia & intensive care medicine. 15(6). 273–278. 30 indexed citations
11.
Chen, Rongsheng, et al.. (2013). Optimizing sensor design for polymer fibre optic oxygen sensors. 1–4. 2 indexed citations
12.
Chen, Rongsheng, et al.. (2013). A fibre-optic oxygen sensor for monitoring human breathing. Physiological Measurement. 34(9). N71–N81. 16 indexed citations
13.
Farmery, Andrew D., et al.. (2012). The organization and composition of body fluids. Anaesthesia & intensive care medicine. 13(12). 603–608. 9 indexed citations
14.
Belcher, R., et al.. (2010). Design of a test system for fast time response fibre optic oxygen sensors. Physiological Measurement. 31(4). N25–N33. 9 indexed citations
15.
Farmery, Andrew D. & J. Wilson-MacDonald. (2009). The Analgesic Effect of Epidural Clonidine After Spinal Surgery: A Randomized Placebo-Controlled Trial. Anesthesia & Analgesia. 108(2). 631–634. 34 indexed citations
16.
Farmery, Andrew D., D. Shlugman, & Philip Anslow. (2003). How high do the subclavian arteries ascend into the neck? A population study using magnetic resonance imaging. British Journal of Anaesthesia. 90(4). 452–456. 6 indexed citations
17.
Farmery, Andrew D., et al.. (2003). Outcome for cardiothoracic surgical patients requiring multidisciplinary intensive care. European Journal of Anaesthesiology. 20(9). 719–725. 5 indexed citations
18.
Farmery, Andrew D. & J. P. Whiteley. (2001). A Mathematical Model of Electron Transfer Within the Mitochondrial Respiratory Cytochromes. Journal of Theoretical Biology. 213(2). 197–207. 4 indexed citations
19.
Farmery, Andrew D.. (2000). Severe unilateral bronchospasm mimicking inadvertent endobronchial intubation: a complication of the use of a topical lidocaine Laryngojet injector. British Journal of Anaesthesia. 85(6). 917–919. 6 indexed citations
20.
Farmery, Andrew D. & C.E.W. Hahn. (2000). Response-time enhancement of a clinical gas analyzer facilitates measurement of breath-by-breath gas exchange. Journal of Applied Physiology. 89(2). 581–589. 20 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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