Nathalie MacDermott

517 total citations
9 papers, 217 citations indexed

About

Nathalie MacDermott is a scholar working on Infectious Diseases, Neurology and Emergency Medical Services. According to data from OpenAlex, Nathalie MacDermott has authored 9 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 3 papers in Neurology and 3 papers in Emergency Medical Services. Recurrent topics in Nathalie MacDermott's work include Viral Infections and Outbreaks Research (3 papers), Disaster Response and Management (3 papers) and Long-Term Effects of COVID-19 (3 papers). Nathalie MacDermott is often cited by papers focused on Viral Infections and Outbreaks Research (3 papers), Disaster Response and Management (3 papers) and Long-Term Effects of COVID-19 (3 papers). Nathalie MacDermott collaborates with scholars based in United Kingdom, Liberia and United States. Nathalie MacDermott's co-authors include Clare Rayner, Margaret O’Hara, Brendan Delaney, Anette Freyer, Will Nutland, Claire Hastie, Sharon Taylor, Robin Gorna, Jethro Herberg and Louise Hartley and has published in prestigious journals such as The Lancet, American Journal of Tropical Medicine and Hygiene and Archives of Disease in Childhood.

In The Last Decade

Nathalie MacDermott

9 papers receiving 208 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nathalie MacDermott United Kingdom	5	159	66	65	64	46	9	217
Nikki Nabavi United Kingdom	4	166 1.0×	83 1.3×	41 0.6×	80 1.3×	39 0.8×	14	235
John Mwangi United States	4	186 1.2×	70 1.1×	44 0.7×	86 1.3×	41 0.9×	7	257
John M. Baratta United States	4	160 1.0×	55 0.8×	49 0.8×	58 0.9×	46 1.0×	11	191
Uri Lerner Israel	5	180 1.1×	123 1.9×	41 0.6×	94 1.5×	35 0.8×	6	274
Stine Mogensen Denmark	7	134 0.8×	88 1.3×	41 0.6×	68 1.1×	33 0.7×	11	245
Inmaculada Guerrero-Fernández de Alba Spain	7	158 1.0×	94 1.4×	44 0.7×	89 1.4×	29 0.6×	14	278
Bindu Balani United States	3	204 1.3×	86 1.3×	50 0.8×	146 2.3×	52 1.1×	6	234
Dmitry Morozyuk United States	4	113 0.7×	61 0.9×	32 0.5×	38 0.6×	21 0.5×	4	153
Sarah Baca United States	2	257 1.6×	156 2.4×	79 1.2×	112 1.8×	42 0.9×	6	322
Paul Kuodi Israel	8	113 0.7×	72 1.1×	31 0.5×	67 1.0×	23 0.5×	21	228

Countries citing papers authored by Nathalie MacDermott

Since Specialization

Citations

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

Fields of papers citing papers by Nathalie MacDermott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathalie MacDermott

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

All Works

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9 of 9 papers shown

1.

Rayner, Clare, et al.. (2021). Recommendations for the recognition, diagnosis, and management of long COVID: a Delphi study. British Journal of General Practice. 71(712). e815–e825. 79 indexed citations

2.

MacDermott, Nathalie. (2021). What is a pandemic?. Medico-Legal Journal. 89(3). 155–165. 1 indexed citations

3.

Rayner, Clare, et al.. (2021). Recommendations for the Recognition, Diagnosis, and Management of Patients with Post COVID-19 Condition ('Long COVID'): A Delphi Study. SSRN Electronic Journal. 3 indexed citations

4.

Penner, Justin, Charlotte J. Patterson, Jane Hassell, et al.. (2020). COVID-19 Pandemic Preparedness in a UK Tertiary and Quaternary Children’s Hospital: Tales of the Unexpected. Journal of the Pediatric Infectious Diseases Society. 9(6). 772–776. 2 indexed citations

5.

Gorna, Robin, Nathalie MacDermott, Clare Rayner, et al.. (2020). Long COVID guidelines need to reflect lived experience. The Lancet. 397(10273). 455–457. 109 indexed citations

6.

Mobula, Linda Meta, et al.. (2018). Clinical Manifestations and Modes of Death among Patients with Ebola Virus Disease, Monrovia, Liberia, 2014. American Journal of Tropical Medicine and Hygiene. 98(4). 1186–1193. 10 indexed citations

7.

MacDermott, Nathalie, et al.. (2016). Viral haemorrhagic fever in children. Archives of Disease in Childhood. 101(5). 461–468. 6 indexed citations

8.

MacDermott, Nathalie & Jethro Herberg. (2016). Ebola: lessons learned. Paediatrics and Child Health. 27(3). 128–134. 2 indexed citations

9.

Hartley, Louise, Jennifer L. Evans, & Nathalie MacDermott. (2011). Management and outcome in viral meningo-encephalitis. Paediatrics and Child Health. 21(11). 488–494. 5 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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