Nicky McCreesh

2.3k citations
49 papers · 1.3k indexed · h-index 19
Topics
Tuberculosis Research and Epidemiology (15 papers)COVID-19 epidemiological studies (11 papers)HIV/AIDS Research and Interventions (11 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEClinical Infectious Diseases

In The Last Decade

Nicky McCreesh

44 papers receiving 1.2k citations

Peers

Nicky McCreesh
Comparison fields: 5 of 129
  • Infectious Diseases 579
  • Epidemiology 423
  • Parasitology 224
  • Public Health, Environmental and Occupational Health 207
  • Ecology 199
Replace Emanuele Giorgi with:
Emanuele Giorgi United Kingdom
Nathan C. Lo United States
Kinley Wangdi Australia
Joseph Okeibunor Republic of the Congo
Paula Moraga Saudi Arabia
Ali Djibo Niger
Gowri Gopalakrishna Netherlands
G.J. van Oortmarssen Netherlands
Neville Nagarwalla United States
Åke Svensson Sweden
Nicky McCreesh relative to Emanuele Giorgi United Kingdom Emanuele Giorgi's profile →
Citations per field
00.5×3.6×
Emanuele Giorgi · 1×
Citations per year

Countries citing papers authored by Nicky McCreesh

Since Specialization
Citations

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

Fields of papers citing papers by Nicky McCreesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicky McCreesh

This figure shows the co-authorship network connecting the top 25 collaborators of Nicky McCreesh. A scholar is included among the top collaborators of Nicky McCreesh 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 Nicky McCreesh. Nicky McCreesh 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
#WorkIndexed citations
1 0
2 0
3 0
4 2
5 1
6 1
7 8
8 10
9 12
10 12
11 18
12 5
13 3
14 9
15 4
16 110
17 36
18 19
19 220
20 29

About Nicky McCreesh

Nicky McCreesh is a scholar working on Modeling and Simulation, Infectious Diseases and Parasitology, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (15 papers), COVID-19 epidemiological studies (11 papers) and HIV/AIDS Research and Interventions (11 papers). The work is most often cited by research in Parasitology (224 citations), Modeling and Simulation (147 citations) and Infectious Diseases (579 citations). Nicky McCreesh has collaborated with scholars based in United Kingdom, Uganda and South Africa. Frequent co-authors include Mark Booth, Richard G. White, Janet Seeley, Rebecca N. Nsubuga, Richard Hayes, Michael Goldstein, Trevelyan J. McKinley, Ian Vernon, Ioannis Andrianakis and Jeremy E. Oakley. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

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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