Danielle Eddy

1.4k total citations · 1 hit paper
7 papers, 904 citations indexed

About

Danielle Eddy is a scholar working on Infectious Diseases, Neurology and Epidemiology. According to data from OpenAlex, Danielle Eddy has authored 7 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 2 papers in Neurology and 2 papers in Epidemiology. Recurrent topics in Danielle Eddy's work include COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Respiratory viral infections research (2 papers). Danielle Eddy is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Respiratory viral infections research (2 papers). Danielle Eddy collaborates with scholars based in United Kingdom. Danielle Eddy's co-authors include Adrian Shields, John Maher, Sharif Ismail, Catherine Huntley, William Bermingham, Nathan Post, Madhumita Shrotri, Samuel Rigby, May CI van Schalkwyk and Paul Kellam and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Journal of Pediatric Nursing.

In The Last Decade

Danielle Eddy

7 papers receiving 887 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

T cell response to SARS-CoV-2 infection in humans: A systematic review

2021 255 citations Madhumita Shrotri, May CI van Schalkwyk et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danielle Eddy United Kingdom	6	689	130	114	100	73	7	904
Mayce Mansour United States	5	741 1.1×	110 0.8×	148 1.3×	34 0.3×	59 0.8×	6	901
Madhumita Shrotri United Kingdom	16	1000 1.5×	206 1.6×	231 2.0×	45 0.5×	88 1.2×	31	1.3k
Tal Gonen Israel	8	850 1.2×	115 0.9×	179 1.6×	51 0.5×	62 0.8×	16	1.0k
Kimberly Muellers United States	9	669 1.0×	100 0.8×	130 1.1×	31 0.3×	31 0.4×	19	875
David Leeman United Kingdom	8	521 0.8×	94 0.7×	81 0.7×	32 0.3×	19 0.3×	15	693
Michael Jahn Germany	9	425 0.6×	46 0.4×	91 0.8×	65 0.7×	41 0.6×	29	571
Narayan Nair United States	9	493 0.7×	124 1.0×	44 0.4×	40 0.4×	21 0.3×	17	843
Omesh N. Ranasinghe United States	7	649 0.9×	52 0.4×	198 1.7×	26 0.3×	33 0.5×	9	807
Fabio Paredes Chile	8	559 0.8×	43 0.3×	137 1.2×	35 0.3×	22 0.3×	15	672
Ollie Lloyd United Kingdom	3	688 1.0×	113 0.9×	216 1.9×	23 0.2×	65 0.9×	4	878

Countries citing papers authored by Danielle Eddy

Since Specialization

Citations

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

Fields of papers citing papers by Danielle Eddy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Eddy

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Shrotri, Madhumita, May CI van Schalkwyk, Nathan Post, et al.. (2021). T cell response to SARS-CoV-2 infection in humans: A systematic review. PLoS ONE. 16(1). e0245532–e0245532. 255 indexed citations breakdown →

2.

Shrotri, Madhumita, May CI van Schalkwyk, Nathan Post, et al.. (2020). Cellular immune response to SARS-CoV-2 infection in humans: a systematic review. medRxiv. 4 indexed citations

3.

Post, Nathan, Danielle Eddy, Catherine Huntley, et al.. (2020). Antibody response to SARS-CoV-2 infection in humans: A systematic review. PLoS ONE. 15(12). e0244126–e0244126. 230 indexed citations

4.

Mehta, Nisha, Oliver Mytton, Edward Mullins, et al.. (2020). SARS-CoV-2 (COVID-19): What Do We Know About Children? A Systematic Review. SSRN Electronic Journal. 31 indexed citations

5.

Mehta, Nisha, Oliver Mytton, Edward Mullins, et al.. (2020). SARS-CoV-2 (COVID-19): What Do We Know About Children? A Systematic Review. Clinical Infectious Diseases. 71(9). 2469–2479. 254 indexed citations

6.

Post, Nathan, Danielle Eddy, Catherine Huntley, et al.. (2020). Antibody response to SARS-CoV-2 infection in humans: a systematic review. medRxiv. 79 indexed citations

7.

Lowes, Lesley, Danielle Eddy, Sue Channon, et al.. (2014). The Experience of Living with Type 1 Diabetes and Attending Clinic from the Perception of Children, Adolescents and Carers: Analysis of Qualitative Data from the DEPICTED Study. Journal of Pediatric Nursing. 30(1). 54–62. 51 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.

Explore authors with similar magnitude of impact