Benjamin Hartley

1.3k total citations
19 papers, 795 citations indexed

About

Benjamin Hartley is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Statistics and Probability. According to data from OpenAlex, Benjamin Hartley has authored 19 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 6 papers in Physiology and 4 papers in Statistics and Probability. Recurrent topics in Benjamin Hartley's work include Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers), Respiratory Support and Mechanisms (6 papers) and Asthma and respiratory diseases (6 papers). Benjamin Hartley is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers), Respiratory Support and Mechanisms (6 papers) and Asthma and respiratory diseases (6 papers). Benjamin Hartley collaborates with scholars based in United Kingdom, United States and Denmark. Benjamin Hartley's co-authors include Fernando J. Martínez, Lynn E. Katz, Héctor Ortega, Steven W. Yancey, Gerald J. Gleich, Mark T. Dransfield, Peter M.A. Calverley, Courtney Crim, Julie Yates and Bartolomé R. Celli and has published in prestigious journals such as The Lancet, American Journal of Respiratory and Critical Care Medicine and CHEST Journal.

In The Last Decade

Benjamin Hartley

18 papers receiving 776 citations

Peers

Benjamin Hartley
Frank Barnhart United States
Annamaria Cerulli United States
Kathrin Kahnert Germany
J Maciejewski Poland
N. Paleiron France
Nichole Korpi‐Steiner United States
Alissa Scalera Canada
Yiyang Zhao China
Helen Tate United Kingdom
Catherine Wentowski United States
Frank Barnhart United States
Benjamin Hartley
Citations per year, relative to Benjamin Hartley Benjamin Hartley (= 1×) peers Frank Barnhart

Countries citing papers authored by Benjamin Hartley

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Hartley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Hartley

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

All Works

19 of 19 papers shown
1.
Hartley, Benjamin, et al.. (2025). Using Win Odds to Improve Commit‐to‐Phase‐3 Decision‐Making in Oncology. Statistics in Medicine. 44(5). e70024–e70024. 1 indexed citations
2.
Hartley, Benjamin, et al.. (2024). Ki-67 index as a predictive marker of meningioma recurrence following surgical resection. Journal of Clinical Neuroscience. 124. 15–19. 3 indexed citations
3.
Hartley, Benjamin, et al.. (2024). Efficient Study Design and Analysis of Longitudinal Dose–Response Data Using Fractional Polynomials. Pharmaceutical Statistics. 23(6). 1128–1143.
4.
Hartley, Benjamin, et al.. (2022). Estimation of a treatment policy estimand for time to event data using data collected post discontinuation of randomised treatment. Pharmaceutical Statistics. 21(3). 612–624. 6 indexed citations
5.
Dransfield, Mark T., Gerard J. Criner, David Halpin, et al.. (2022). Time‐Dependent Risk of Cardiovascular Events Following an Exacerbation in Patients With Chronic Obstructive Pulmonary Disease: Post Hoc Analysis From the IMPACT Trial. Journal of the American Heart Association. 11(18). e024350–e024350. 50 indexed citations
6.
Celli, Bartolomé R., Julie A. Anderson, Nicholas J. Cowans, et al.. (2020). Pharmacotherapy and Lung Function Decline in Patients with Chronic Obstructive Pulmonary Disease. A Systematic Review. American Journal of Respiratory and Critical Care Medicine. 203(6). 689–698. 50 indexed citations
7.
Hartley, Benjamin, Neil Barnes, Sally Lettis, et al.. (2020). Risk factors for exacerbations and pneumonia in patients with chronic obstructive pulmonary disease: a pooled analysis. Respiratory Research. 21(1). 5–5. 20 indexed citations
8.
Halpin, David, Gerard J. Criner, Mark T. Dransfield, et al.. (2020). Triple Versus Dual Combination Therapy in Chronic Obstructive Pulmonary Disease in Asian Countries: Analysis of the IMPACT Trial. Pulmonary Therapy. 7(1). 101–118. 5 indexed citations
9.
Dransfield, Mark T., David Halpin, Mei Han, et al.. (2020). TIME-DEPENDENT RISK OF CARDIOVASCULAR EVENTS FOLLOWING AN EXACERBATION IN PATIENTS WITH COPD: POST HOC ANALYSIS FROM THE IMPACT TRIALl. CHEST Journal. 158(4). A1722–A1726. 3 indexed citations
10.
11.
Pascoe, Steven, Neil Barnes, Guy Brusselle, et al.. (2019). Blood eosinophils and treatment response with triple and dual combination therapy in chronic obstructive pulmonary disease: analysis of the IMPACT trial. The Lancet Respiratory Medicine. 7(9). 745–756. 153 indexed citations
12.
Bafadhel, Mona, Neil Barnes, Stephen C Bourke, et al.. (2019). Analysis of IMPACT: is one blood eosinophil count measurement sufficient to predict ICS treatment response in COPD?. Research at the University of Copenhagen (University of Copenhagen). OA260–OA260. 2 indexed citations
13.
Kunisaki, Ken M., Mark T. Dransfield, Julie A. Anderson, et al.. (2018). Exacerbations of Chronic Obstructive Pulmonary Disease and Cardiac Events. A Post Hoc Cohort Analysis from the SUMMIT Randomized Clinical Trial. American Journal of Respiratory and Critical Care Medicine. 198(1). 51–57. 220 indexed citations
14.
Pascoe, Steven, Neil Barnes, Guy Brusselle, et al.. (2018). Late Breaking Abstract - Blood eosinophil counts and treatment response in COPD: analyses of IMPACT. OA2127–OA2127. 4 indexed citations
15.
Katz, Lynn E., Gerald J. Gleich, Benjamin Hartley, Steven W. Yancey, & Héctor Ortega. (2014). Blood Eosinophil Count Is a Useful Biomarker to Identify Patients with Severe Eosinophilic Asthma. Annals of the American Thoracic Society. 11(4). 531–536. 161 indexed citations
16.
Keene, Oliver N., James Roger, Benjamin Hartley, & Michael G. Kenward. (2014). Missing data sensitivity analysis for recurrent event data using controlled imputation. Pharmaceutical Statistics. 13(4). 258–264. 33 indexed citations
17.
Ortega, Héctor, Lynn E. Katz, Benjamin Hartley, & Steve Yancey. (2013). Blood eosinophil count is a useful biomarker to identify patients with severe eosinophilic asthma. European Respiratory Journal. 42(Suppl 57). P855–P855. 1 indexed citations
18.
Watz, Henrik, Helen Barnacle, Benjamin Hartley, & Robert Chan. (2013). Efficacy and safety of the p38 MAPK inhibitor losmapimod for patients with chronic obstructive pulmonary disease: a randomised, double-blind, placebo-controlled trial. The Lancet Respiratory Medicine. 2(1). 63–72. 71 indexed citations
19.
Hartley, Benjamin. (1963). PENICILLAMINE AND MIXED DISULPHIDE EXCRETION IN WILSON'S DISEASE. The Lancet. 282(7305). 434–435. 10 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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