Ella Flemyng

1.5k total citations · 1 hit paper
9 papers, 323 citations indexed

About

Ella Flemyng is a scholar working on General Health Professions, Statistics, Probability and Uncertainty and Sociology and Political Science. According to data from OpenAlex, Ella Flemyng has authored 9 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in General Health Professions, 3 papers in Statistics, Probability and Uncertainty and 2 papers in Sociology and Political Science. Recurrent topics in Ella Flemyng's work include Meta-analysis and systematic reviews (3 papers), Delphi Technique in Research (2 papers) and Clinical practice guidelines implementation (1 paper). Ella Flemyng is often cited by papers focused on Meta-analysis and systematic reviews (3 papers), Delphi Technique in Research (2 papers) and Clinical practice guidelines implementation (1 paper). Ella Flemyng collaborates with scholars based in United Kingdom, Australia and Canada. Ella Flemyng's co-authors include Theresa HM Moore, Asbjørn Hróbjartsson, Isabelle Boutron, Julian P. T. Higgins, Camilla Hansen Nejstgaard, Kerry Dwan, Kellia Chiu, Magdalena Wilczynska, Lisa Parker and Matthew Parry and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cochrane Database of Systematic Reviews and BMJ Open.

In The Last Decade

Ella Flemyng

8 papers receiving 310 citations

Hit Papers

Using Risk of Bias 2 to assess results from randomised co... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ella Flemyng United Kingdom 5 108 60 55 53 48 9 323
Patrik Bächtiger United Kingdom 9 21 0.2× 105 1.8× 23 0.4× 27 0.5× 19 0.4× 22 300
Lucy Hederman Ireland 10 25 0.2× 47 0.8× 16 0.3× 37 0.7× 13 0.3× 33 241
Kevin Jenniskens Netherlands 9 20 0.2× 32 0.5× 14 0.3× 34 0.6× 10 0.2× 29 239
Salem Argaw United States 7 99 0.9× 24 0.4× 17 0.3× 16 0.3× 18 0.4× 9 244
Krunal Pandav United States 11 17 0.2× 35 0.6× 69 1.3× 24 0.5× 13 0.3× 39 536
Kelvin Kam‐Fai Tsoi Hong Kong 6 30 0.3× 124 2.1× 165 3.0× 9 0.2× 53 1.1× 9 488
Kazuo Goda Japan 11 39 0.4× 69 1.1× 10 0.2× 51 1.0× 4 0.1× 63 388
Azhar Ali United Kingdom 9 16 0.1× 50 0.8× 135 2.5× 23 0.4× 19 0.4× 18 520
Christophe Gaudet-Blavignac Switzerland 8 25 0.2× 31 0.5× 30 0.5× 34 0.6× 4 0.1× 36 310

Countries citing papers authored by Ella Flemyng

Since Specialization
Citations

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

Fields of papers citing papers by Ella Flemyng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ella Flemyng

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

All Works

9 of 9 papers shown
1.
Flemyng, Ella, Biljana Macura, Gerald Gartlehner, et al.. (2025). Position statement on artificial intelligence (AI) use in evidence synthesis across Cochrane, the Campbell Collaboration, JBI and the Collaboration for Environmental Evidence 2025. Cochrane Database of Systematic Reviews. 1 indexed citations
3.
Cumpston, Miranda, Joanne E. McKenzie, Rebecca Ryan, et al.. (2023). Development of the InSynQ checklist: A tool for planning and reporting the synthesis questions in systematic reviews of interventions. SHILAP Revista de lepidopterología. 1(10). e12036–e12036. 2 indexed citations
4.
Flemyng, Ella, Miranda Cumpston, Ingrid Arévalo-Rodríguez, Jacqueline Chandler, & Jonathan J Deeks. (2023). Planning a Cochrane Review of diagnostic test accuracy. 1–18. 7 indexed citations
5.
Flemyng, Ella, Theresa HM Moore, Isabelle Boutron, et al.. (2023). Using Risk of Bias 2 to assess results from randomised controlled trials: guidance from Cochrane. BMJ evidence-based medicine. 28(4). 260–266. 104 indexed citations breakdown →
6.
Kew, Kayleigh M, et al.. (2022). Increased versus stable doses of inhaled corticosteroids for exacerbations of chronic asthma in adults and children. Cochrane Database of Systematic Reviews. 2022(9). CD007524–CD007524. 4 indexed citations
7.
Anglemyer, Andrew, Theresa HM Moore, Lisa Parker, et al.. (2020). Digital contact tracing technologies in epidemics: a rapid review. Cochrane Database of Systematic Reviews. 2020(8). CD013699–CD013699. 142 indexed citations
8.
Schroter, Sara, Amy Price, Ella Flemyng, et al.. (2018). Perspectives on involvement in the peer-review process: surveys of patient and public reviewers at two journals. BMJ Open. 8(9). e023357–e023357. 25 indexed citations
9.
Seetharaman, Shailaja, Ella Flemyng, Jiazhen Shen, Maria R. Conte, & Anne J. Ridley. (2016). The RNA‐binding protein LARP4 regulates cancer cell migration and invasion. Cytoskeleton. 73(11). 680–690. 38 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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