Jodie Hay

8.2k total citations · 1 hit paper
20 papers, 606 citations indexed

About

Jodie Hay is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Jodie Hay has authored 20 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Hematology. Recurrent topics in Jodie Hay's work include Chronic Lymphocytic Leukemia Research (5 papers), Acute Myeloid Leukemia Research (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Jodie Hay is often cited by papers focused on Chronic Lymphocytic Leukemia Research (5 papers), Acute Myeloid Leukemia Research (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Jodie Hay collaborates with scholars based in United Kingdom, Netherlands and Austria. Jodie Hay's co-authors include Ruth Studley, Emma Pritchard, Philippa C. Matthews, Ian Diamond, John I. Bell, John Newton, Karina-Doris Vihta, Jeremy Farrar, David W. Eyre and Thomas House and has published in prestigious journals such as Nature Medicine, Nature Communications and Scientific Reports.

In The Last Decade

Jodie Hay

20 papers receiving 592 citations

Hit Papers

Effect of Delta variant on viral burden and vaccine effec... 2021 2026 2022 2024 2021 100 200 300

Peers

Jodie Hay
Comparison fields: 5 of 85
  • Infectious Diseases 361
  • Molecular Biology 182
  • Modeling and Simulation 124
  • Health 122
  • Epidemiology 53
Replace Michelle Klein with:
Michelle Klein Netherlands
Kelly Broen Netherlands
Lisa Müller Germany
Angelique Hœlzemer Germany
Eric Vail United States
Kadri Kangro Belgium
Catherine Huntley United Kingdom
Laszlo Palkonyay Switzerland
Cecilie Bo Hansen Denmark
Brooke A. Borgert United States
Michelle Klein Netherlands View profile →
Citations per field, relative to Jodie Hay
Jodie Hay · 1×
Citations per year, relative to Jodie Hay
Jodie Hay · 1×

Countries citing papers authored by Jodie Hay

Since Specialization
Citations

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

Fields of papers citing papers by Jodie Hay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jodie Hay

This figure shows the co-authorship network connecting the top 25 collaborators of Jodie Hay. A scholar is included among the top collaborators of Jodie Hay 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 Jodie Hay. Jodie Hay 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
# Work Indexed citations
1 7
2 1
3 7
4 15
5 3
6 21
7
Effect of Delta variant on viral burden and vaccine effectiveness against new SARS-CoV-2 infections in the UK breakdown →
330
8 65
9 6
10 7
11 8
12 1
13 1
14 23
15 13
16 7
17 5
18 6
19 38
20 42

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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