Sarah Denny

467 total citations
11 papers, 286 citations indexed

About

Sarah Denny is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Sarah Denny has authored 11 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Sarah Denny's work include COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Coronary Interventions and Diagnostics (2 papers). Sarah Denny is often cited by papers focused on COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Coronary Interventions and Diagnostics (2 papers). Sarah Denny collaborates with scholars based in United Kingdom, United States and Germany. Sarah Denny's co-authors include Nabeela Mughal, Luke Moore, Aatish Patel, Esmita Charani, Gary Davies, Scott J C Pallett, Kimberly Gilmour, Paul Randell, Michael Rayment and Christopher J. Scott and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Heart Journal.

In The Last Decade

Sarah Denny

10 papers receiving 281 citations

Peers

Sarah Denny

ID

RNMI

BE

AI

NEURO

Chunhua Yang China

Walaa Alsharif Saudi Arabia

Giovanni Angelotti Italy

Eleftheria Atalla United States

Hua-jian Xu China

Korin Ozkaya Türkiye

Abdulaziz A. Qurashi Saudi Arabia

Hee Yun Seol South Korea

Gamuchirai Tavaziva Canada

Chunhua Yang China

Sarah Denny

335 ×2.3

ID

182 ×2.5

RNMI

78 ×1.9

BE

45 ×1.2

AI

44 ×1.2

NEURO

Citations per year, relative to Sarah Denny Sarah Denny (= 1×) peers Chunhua Yang

Countries citing papers authored by Sarah Denny

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Denny

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Denny

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

All Works

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11 of 11 papers shown

1.

Rothe, Camilla, et al.. (2023). Zika virus infection in European travellers returning from Thailand in 2022: A GeoSentinel case series. Tropical Medicine & International Health. 28(7). 576–579. 8 indexed citations

2.

Pallett, Scott J C, Sarah Denny, Aatish Patel, et al.. (2021). Point-of-care SARS-CoV-2 serological assays for enhanced case finding in a UK inpatient population. Scientific Reports. 11(1). 5860–5860. 6 indexed citations

3.

Denny, Sarah, Timothy M. Rawson, Giovanni Satta, et al.. (2021). Bacteraemia variation during the COVID-19 pandemic; a multi-centre UK secondary care ecological analysis. BMC Infectious Diseases. 21(1). 556–556. 21 indexed citations

4.

Patel, Aatish, Sarah Denny, Nabeela Mughal, et al.. (2020). Investigating the association between ethnicity and health outcomes in SARS-CoV-2 in a London secondary care population. PLoS ONE. 15(10). e0240960–e0240960. 14 indexed citations

5.

Papachristidis, Alexandros, et al.. (2020). Comparison of NICE and ESC proposed strategies on new onset chest pain and the contemporary clinical utility of pretest probability risk score. Open Heart. 7(1). e001081–e001081. 5 indexed citations

6.

Patel, Aatish, Esmita Charani, Sarah Denny, et al.. (2020). Comparison of deep learning with regression analysis in creating predictive models for SARS-CoV-2 outcomes. BMC Medical Informatics and Decision Making. 20(1). 299–299. 27 indexed citations

7.

Pallett, Scott J C, Michael Rayment, Aatish Patel, et al.. (2020). Point-of-care serological assays for delayed SARS-CoV-2 case identification among health-care workers in the UK: a prospective multicentre cohort study. The Lancet Respiratory Medicine. 8(9). 885–894. 77 indexed citations

8.

Patel, Aatish, et al.. (2020). Prognostic Modeling of COVID-19 Using Artificial Intelligence in the United Kingdom: Model Development and Validation. Journal of Medical Internet Research. 22(8). e20259–e20259. 62 indexed citations

9.

Patel, Aatish, et al.. (2020). New-onset anosmia and ageusia in adult patients diagnosed with SARS-CoV-2 infection. Clinical Microbiology and Infection. 26(9). 1236–1241. 62 indexed citations

10.

Patel, Aatish, et al.. (2020). New Onset Anosmia and Ageusia in Adult Patients Diagnosed with SARS-CoV-2 in a London Community and Secondary Care Population. SSRN Electronic Journal. 4 indexed citations

11.

Denny, Sarah, et al.. (2017). P897Diagnostic yield of invasive coronary angiography in a UK district general hospital. European Heart Journal. 38(suppl_1).

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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