Daniel J Cooper

3.8k total citations · 1 hit paper
38 papers, 2.5k citations indexed

About

Daniel J Cooper is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, Daniel J Cooper has authored 38 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Public Health, Environmental and Occupational Health, 9 papers in Pediatrics, Perinatology and Child Health and 7 papers in Obstetrics and Gynecology. Recurrent topics in Daniel J Cooper's work include Malaria Research and Control (10 papers), Mosquito-borne diseases and control (7 papers) and Maternal and Perinatal Health Interventions (6 papers). Daniel J Cooper is often cited by papers focused on Malaria Research and Control (10 papers), Mosquito-borne diseases and control (7 papers) and Maternal and Perinatal Health Interventions (6 papers). Daniel J Cooper collaborates with scholars based in United Kingdom, Australia and Malaysia. Daniel J Cooper's co-authors include Michelle A. Miller, Francesco P. Cappuccio, Lanfranco D’Elia, Pasquale Strazzullo, Steven L. Warsof, D Little, Sarah Campbell, John Studd, D. M. F. GIBB and L. Cardozo and has published in prestigious journals such as Clinical Infectious Diseases, Kidney International and European Heart Journal.

In The Last Decade

Daniel J Cooper

35 papers receiving 2.4k citations

Hit Papers

Sleep duration predicts cardiovascular outcomes: a system... 2011 2026 2016 2021 2011 500 1000 1.5k

Peers

Daniel J Cooper
Michael E. Silverman United States
Stephen Tregear United States
David Davies United Kingdom
Deborah B. Nelson United States
Anthony Fabio United States
Yuri V. Sebastião United States
Daphne Kounali United Kingdom
Michael E. Silverman United States
Daniel J Cooper
Citations per year, relative to Daniel J Cooper Daniel J Cooper (= 1×) peers Michael E. Silverman

Countries citing papers authored by Daniel J Cooper

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J Cooper

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J Cooper. A scholar is included among the top collaborators of Daniel J Cooper 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 Daniel J Cooper. Daniel J Cooper 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.
Anstey, Nicholas M., Matthew J. Grigg, Timothy William, et al.. (2025). Acute Kidney Injury in Non-falciparum Malaria. Seminars in Nephrology. 45(3). 151615–151615.
2.
Chen-Xu, M., Daniel J Cooper, Georg Meisl, et al.. (2024). Microfluidic antibody profiling after repeated SARS-CoV-2 vaccination links antibody affinity and concentration to impaired immunity and variant escape in patients on anti-CD20 therapy. Frontiers in Immunology. 14. 1296148–1296148. 1 indexed citations
3.
Grigg, Matthew J., S Dini, Timothy William, et al.. (2023). Quantification of parasite clearance in Plasmodium knowlesi infections. Malaria Journal. 22(1). 54–54. 2 indexed citations
4.
Smith, Rona, Daniel J Cooper, Rainer Döffinger, et al.. (2022). SARS-COV-2 vaccine responses in renal patient populations. BMC Nephrology. 23(1). 199–199. 4 indexed citations
5.
Cooper, Daniel J, Sara Lear, Nyaradzai Sithole, et al.. (2022). Demographic, behavioural and occupational risk factors associated with SARS-CoV-2 infection in UK healthcare workers: a retrospective observational study. BMJ Open. 12(11). e063159–e063159. 3 indexed citations
6.
Anstey, Nicholas M., Matthew J. Grigg, Giri Shan Rajahram, et al.. (2021). Knowlesi malaria: Human risk factors, clinical spectrum, and pathophysiology. Advances in Parasitology. 113. 1–43. 25 indexed citations
7.
Barber, Bridget E., Matthew J. Grigg, Daniel J Cooper, et al.. (2021). Clinical management of Plasmodium knowlesi malaria. Advances in Parasitology. 113. 45–76. 19 indexed citations
8.
Cooper, Daniel J, et al.. (2021). Artificial intelligence in cardiology: fundamentals and applications. Internal Medicine Journal. 52(6). 912–920. 8 indexed citations
9.
Piera, Kim A., Timothy William, Giri Shan Rajahram, et al.. (2020). Comparative evaluation of two commercial real-time PCR kits (QuantiFast™ and abTES™) for the detection of Plasmodium knowlesi and other Plasmodium species in Sabah, Malaysia. Malaria Journal. 19(1). 306–306. 13 indexed citations
10.
Cooper, Daniel J, Katherine Plewes, Matthew J. Grigg, et al.. (2020). An Evaluation of Commonly Used Surrogate Baseline Creatinine Values to Classify AKI During Acute Infection. Kidney International Reports. 6(3). 645–656. 24 indexed citations
11.
Rajahram, Giri Shan, Daniel J Cooper, Timothy William, et al.. (2019). Deaths From Plasmodium knowlesi Malaria: Case Series and Systematic Review. Clinical Infectious Diseases. 69(10). 1703–1711. 56 indexed citations
12.
Cooper, Daniel J, Katherine Plewes, Matthew J. Grigg, et al.. (2018). The effect of regularly dosed paracetamol versus no paracetamol on renal function in Plasmodium knowlesi malaria (PACKNOW): study protocol for a randomised controlled trial. Trials. 19(1). 250–250. 16 indexed citations
13.
Cappuccio, Francesco P., Daniel J Cooper, Lanfranco D’Elia, Pasquale Strazzullo, & Michelle A. Miller. (2011). Sleep duration predicts cardiovascular outcomes: a systematic review and meta-analysis of prospective studies. European Heart Journal. 32(12). 1484–1492. 1513 indexed citations breakdown →
14.
McMenamin, Jim, et al.. (2007). A multi-data source surveillance system to detect a bioterrorism attack during the G8 Summit in Scotland. Epidemiology and Infection. 136(7). 876–885. 20 indexed citations
15.
Leonardi, Giovanni, et al.. (2006). Syndromic surveillance use to detect the early effects of heat-waves: an analysis of NHS Direct data in England. Sozial- und Präventivmedizin. 51(4). 194–201. 58 indexed citations
16.
Chan, F. Y., John Whitehall, Lillian Hayes, et al.. (1999). Minimum requirements for remote realtime fetal tele-ultrasound consultation. Journal of Telemedicine and Telecare. 5(3). 171–176. 30 indexed citations
17.
Crespigny, Lachlan Ch. de, et al.. (1988). Early detection of intrauterine pregnancy with ultrasound.. Journal of Ultrasound in Medicine. 7(1). 7–10. 16 indexed citations
18.
Studd, John, et al.. (1983). Kielland or Caesar?. BMJ. 287(6392). 610.4–611. 1 indexed citations
19.
Cardozo, L., D. M. F. GIBB, John Studd, & Daniel J Cooper. (1983). Should we abandon Kielland's forceps?. BMJ. 287(6388). 315–317. 36 indexed citations
20.
Cooper, Daniel J, et al.. (1978). The Remedial Process in Institutional Reform Litigation. Columbia Law Review. 78(4). 784–784. 7 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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