Daniel P. Redmond

71 papers and 3.4k indexed citations i.

About

Daniel P. Redmond is a scholar working on Pulmonary and Respiratory Medicine, Experimental and Cognitive Psychology and Surgery. According to data from OpenAlex, Daniel P. Redmond has authored 71 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 13 papers in Experimental and Cognitive Psychology and 9 papers in Surgery. Recurrent topics in Daniel P. Redmond’s work include Respiratory Support and Mechanisms (22 papers), Sleep and Work-Related Fatigue (13 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers). Daniel P. Redmond is often cited by papers focused on Respiratory Support and Mechanisms (22 papers), Sleep and Work-Related Fatigue (13 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers). Daniel P. Redmond collaborates with scholars based in United States, New Zealand and Belgium. Daniel P. Redmond's co-authors include Gregory Belenky, Maria Thomas, David R. Thorne, Thomas J. Balkin, Helen C. Sing, Nancy J. Wesensten, Michael B. Russo, Helen Sing, Laura M. Rowland and David Thorne and has published in prestigious journals such as Journal of Clinical Oncology, NeuroImage and Neurology.

In The Last Decade

Co-authorship network of co-authors of Daniel P. Redmond i

Fields of papers citing papers by Daniel P. Redmond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Redmond. 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 Daniel P. Redmond. The network helps show where Daniel P. Redmond may publish in the future.

Countries citing papers authored by Daniel P. Redmond

Since Specialization
Citations

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

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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