Sarah Elkin

3.9k total citations · 1 hit paper
64 papers, 2.5k citations indexed

About

Sarah Elkin is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Epidemiology. According to data from OpenAlex, Sarah Elkin has authored 64 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Pulmonary and Respiratory Medicine, 11 papers in Oncology and 9 papers in Epidemiology. Recurrent topics in Sarah Elkin's work include Chronic Obstructive Pulmonary Disease (COPD) Research (25 papers), Respiratory Support and Mechanisms (13 papers) and Cystic Fibrosis Research Advances (10 papers). Sarah Elkin is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (25 papers), Respiratory Support and Mechanisms (13 papers) and Cystic Fibrosis Research Advances (10 papers). Sarah Elkin collaborates with scholars based in United Kingdom, United States and South Africa. Sarah Elkin's co-authors include Patrick Mallia, Sebastian L. Johnston, Onn Min Kon, Joseph Footitt, Maria‐Belen Trujillo‐Torralbo, Sally Singh, Charlotte E. Bolton, Paul Walker, Louise Sewell and John Blakey and has published in prestigious journals such as Nature Communications, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Sarah Elkin

61 papers receiving 2.4k citations

Hit Papers

British Thoracic Society guideline on pulmonary rehabilit... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Elkin United Kingdom 23 1.7k 399 364 234 231 64 2.5k
Bruno DiGiovine United States 18 817 0.5× 385 1.0× 390 1.1× 229 1.0× 202 0.9× 42 2.2k
Anne L. Stephenson Canada 34 2.1k 1.2× 362 0.9× 367 1.0× 88 0.4× 150 0.6× 111 3.0k
Cristina Esquinas Spain 29 1.3k 0.8× 763 1.9× 917 2.5× 91 0.4× 211 0.9× 148 3.0k
Fabio Cardinale Italy 27 536 0.3× 454 1.1× 430 1.2× 129 0.6× 135 0.6× 117 3.0k
Sérgio Antônio Draibe Brazil 36 471 0.3× 400 1.0× 606 1.7× 247 1.1× 180 0.8× 122 3.9k
Byron Thomashow United States 26 2.0k 1.2× 349 0.9× 593 1.6× 90 0.4× 62 0.3× 83 2.5k
Alexander G. Mathioudakis United Kingdom 23 841 0.5× 260 0.7× 516 1.4× 97 0.4× 127 0.5× 117 2.0k
Enea Bonci Italy 29 817 0.5× 1.1k 2.8× 705 1.9× 217 0.9× 109 0.5× 69 2.6k
Montserrat Vera‐Llonch United States 26 1.3k 0.8× 690 1.7× 240 0.7× 60 0.3× 118 0.5× 71 3.0k
Conroy Wong New Zealand 21 1.2k 0.7× 439 1.1× 413 1.1× 116 0.5× 204 0.9× 57 2.1k

Countries citing papers authored by Sarah Elkin

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Elkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Elkin

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Elkin. A scholar is included among the top collaborators of Sarah Elkin 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 Sarah Elkin. Sarah Elkin 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.
Lee, Cassie, Paul Williams, Julie Darbyshire, et al.. (2025). What Can We Learn Four Years On? A Multi‐Centre Service Evaluation Exploring Symptoms, Functional Impact, Recovery and Care Pathways in Long Covid. Health Expectations. 28(6). e70435–e70435.
3.
Kumar, Kartik, Simon M. Collin, P Ricci, et al.. (2023). Chest CT features and functional correlates of COVID-19 at 3 months and 12 months follow-up. Clinical Medicine. 23(5). 467–477. 4 indexed citations
4.
5.
Clarke, Jonathan, Kelsey Flott, Roberto Fernández Crespo, et al.. (2021). Assessing the safety of home oximetry for COVID-19: a multisite retrospective observational study. BMJ Open. 11(9). e049235–e049235. 25 indexed citations
6.
Ritchie, Andrew I., Simon Brill, Lydia Finney, et al.. (2020). Targeted Retreatment of Incompletely Recovered Chronic Obstructive Pulmonary Disease Exacerbations with Ciprofloxacin. A Double-Blind, Randomized, Placebo-controlled, Multicenter, Phase III Clinical Trial. American Journal of Respiratory and Critical Care Medicine. 202(4). 549–557. 5 indexed citations
7.
Holmes, Steve, Opinder Sahota, Sarah Elkin, et al.. (2020). <p>Management of Fracture Risk in Patients with Chronic Obstructive Pulmonary Disease (COPD): Building a UK Consensus Through Healthcare Professional and Patient Engagement</p>. International Journal of COPD. Volume 15. 1377–1390. 3 indexed citations
8.
Calderazzo, Maria Adelaide, Maria‐Belen Trujillo‐Torralbo, Lydia Finney, et al.. (2019). <p>Inflammation and infections in unreported chronic obstructive pulmonary disease exacerbations</p>. International Journal of COPD. Volume 14. 823–833. 12 indexed citations
9.
Armstrong, Paul C., Jane A. Mitchell, Timothy D. Warner, et al.. (2015). Protocol for a human in vivo model of acute cigarette smoke inhalation challenge in smokers with COPD: monitoring the nasal and systemic immune response using a network biology approach. BMJ Open. 5(1). e005750–e005750. 1 indexed citations
10.
Molyneaux, Philip L., Patrick Mallia, Michael J. Cox, et al.. (2013). Outgrowth of the Bacterial Airway Microbiome after Rhinovirus Exacerbation of Chronic Obstructive Pulmonary Disease. American Journal of Respiratory and Critical Care Medicine. 188(10). 1224–1231. 259 indexed citations
12.
Mallia, Patrick, Simon Message, Marco Contoli, et al.. (2013). Lymphocyte subsets in experimental rhinovirus infection in chronic obstructive pulmonary disease. Respiratory Medicine. 108(1). 78–85. 16 indexed citations
13.
Mallia, Patrick, Joseph Footitt, Annette Jepson, et al.. (2012). Rhinovirus Infection Induces Degradation of Antimicrobial Peptides and Secondary Bacterial Infection in Chronic Obstructive Pulmonary Disease. American Journal of Respiratory and Critical Care Medicine. 186(11). 1117–1124. 194 indexed citations
14.
Kelly, Julia L., et al.. (2012). Breathlessness and Skeletal Muscle Weakness in Patients Undergoing Lung Health Screening in Primary Care. COPD Journal of Chronic Obstructive Pulmonary Disease. 10(1). 40–54. 23 indexed citations
15.
16.
Sermet‐Gaudelus, Isabelle, Maria Luisa Bianchi, Michèle Garabédian, et al.. (2011). European cystic fibrosis bone mineralisation guidelines. Journal of Cystic Fibrosis. 10. S16–S23. 120 indexed citations
18.
Aris, Robert M., Peter A. Merkel, Laura K. Bachrach, et al.. (2005). Guide to Bone Health and Disease in Cystic Fibrosis. The Journal of Clinical Endocrinology & Metabolism. 90(3). 1888–1896. 304 indexed citations
19.
Elkin, Sarah, S. Vedi, S Bord, et al.. (2002). Histomorphometric Analysis of Bone Biopsies from the Iliac Crest of Adults with Cystic Fibrosis. American Journal of Respiratory and Critical Care Medicine. 166(11). 1470–1474. 66 indexed citations
20.
Elkin, Sarah, Angela Fairney, Sherri‐Ann M. Burnett‐Bowie, et al.. (2001). Vertebral Deformities and Low Bone Mineral Density in Adults with Cystic Fibrosis: A Cross-sectional Study. Osteoporosis International. 12(5). 366–372. 130 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026