Selma Audi

529 total citations
9 papers, 345 citations indexed

About

Selma Audi is a scholar working on Surgery, Family Practice and Geriatrics and Gerontology. According to data from OpenAlex, Selma Audi has authored 9 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Family Practice and 2 papers in Geriatrics and Gerontology. Recurrent topics in Selma Audi's work include Diabetes and associated disorders (2 papers), Chronic Disease Management Strategies (2 papers) and Coronary Interventions and Diagnostics (2 papers). Selma Audi is often cited by papers focused on Diabetes and associated disorders (2 papers), Chronic Disease Management Strategies (2 papers) and Coronary Interventions and Diagnostics (2 papers). Selma Audi collaborates with scholars based in United Kingdom, United States and Netherlands. Selma Audi's co-authors include Kaijun Wang, Carlos Macaya, Elizabeth M. Mahoney, Keith D. Dawkins, David J. Cohen, Patrick W. Serruys, Peter den Heijer, Katrin Leadley, Ben van Hout and Friedrich W. Mohr and has published in prestigious journals such as New England Journal of Medicine, Molecular and Cellular Biology and International Journal of Obesity.

In The Last Decade

Selma Audi

8 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Selma Audi United Kingdom	6	150	131	81	47	40	9	345
F. Chagué France	12	176 1.2×	61 0.5×	49 0.6×	13 0.3×	23 0.6×	50	344
Jay Khambhati United States	10	116 0.8×	57 0.4×	24 0.3×	32 0.7×	11 0.3×	21	325
Alicia Serra Spain	9	102 0.7×	53 0.4×	131 1.6×	45 1.0×	14 0.3×	11	374
Christine Pacheco Canada	9	226 1.5×	61 0.5×	72 0.9×	20 0.4×	9 0.2×	25	350
Miguel Ángel Sánchez-Chaparro Spain	11	138 0.9×	97 0.7×	15 0.2×	21 0.4×	19 0.5×	32	402
Kari Peersen Norway	13	184 1.2×	85 0.6×	11 0.1×	12 0.3×	44 1.1×	27	332
Brandon Peterson United States	8	150 1.0×	90 0.7×	93 1.1×	12 0.3×	7 0.2×	23	299
Judy Luu Canada	7	199 1.3×	45 0.3×	57 0.7×	21 0.4×	7 0.2×	25	292
Zachary T. Yoneda United States	9	201 1.3×	126 1.0×	13 0.2×	21 0.4×	12 0.3×	24	327
Miguel González Spain	13	207 1.4×	53 0.4×	16 0.2×	26 0.6×	13 0.3×	32	471

Countries citing papers authored by Selma Audi

Since Specialization

Citations

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

Fields of papers citing papers by Selma Audi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Selma Audi

This figure shows the co-authorship network connecting the top 25 collaborators of Selma Audi. A scholar is included among the top collaborators of Selma Audi 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 Selma Audi. Selma Audi 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

Bowen, Liza, Iain M. Carey, Umar Chaudhry, et al.. (2025). HbA1c variability and all-cause mortality in type 1 and type 2 diabetes: A population-based cohort study using electronic health records. Diabetes Research and Clinical Practice. 225. 112229–112229. 1 indexed citations

Carey, Iain M., Tess Harris, Umar Chaudhry, et al.. (2025). Body mass index and infection risks in people with and without type 2 diabetes: A cohort study using electronic health records. International Journal of Obesity. 49(9). 1800–1809.

Carey, Iain M., Julia Critchley, Umar Chaudhry, et al.. (2024). Contribution of infection to mortality in people with type 2 diabetes: a population-based cohort study using electronic records. The Lancet Regional Health - Europe. 48. 101147–101147. 4 indexed citations

Audi, Selma, et al.. (2020). Behind the hedges: how to convey uncertainty in imaging reports. Clinical Radiology. 76(2). 84–87. 6 indexed citations

Perera, Bhathika, et al.. (2019). Mental and physical health conditions in people with intellectual disabilities: Comparing local and national data. British Journal of Learning Disabilities. 48(1). 19–27. 46 indexed citations

Audi, Selma, Daniel Burrage, D Lonsdale, et al.. (2018). The ‘top 100’ drugs and classes in England: an updated ‘starter formulary’ for trainee prescribers. British Journal of Clinical Pharmacology. 84(11). 2562–2571. 39 indexed citations

Cohen, David J., Ben van Hout, Patrick W. Serruys, et al.. (2012). Quality of Life After PCI With Drug-Eluting Stents in Coronary Artery Bypass Surgery. Survey of Anesthesiology. 56(1). 6–6. 23 indexed citations

Cohen, David J., Ben van Hout, Patrick W. Serruys, et al.. (2011). Quality of Life after PCI with Drug-Eluting Stents or Coronary-Artery Bypass Surgery. New England Journal of Medicine. 364(11). 1016–1026. 183 indexed citations

Ozer, Josef, et al.. (1998). Association of Transcription Factor IIA with TATA Binding Protein Is Required for Transcriptional Activation of a Subset of Promoters and Cell Cycle Progression in Saccharomyces cerevisiae. Molecular and Cellular Biology. 18(5). 2559–2570. 43 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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