Mohammad E Yadegarfar

1.5k total citations · 1 hit paper
21 papers, 685 citations indexed

About

Mohammad E Yadegarfar is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and General Health Professions. According to data from OpenAlex, Mohammad E Yadegarfar has authored 21 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 7 papers in Cardiology and Cardiovascular Medicine and 4 papers in General Health Professions. Recurrent topics in Mohammad E Yadegarfar's work include Chronic Disease Management Strategies (4 papers), Frailty in Older Adults (4 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Mohammad E Yadegarfar is often cited by papers focused on Chronic Disease Management Strategies (4 papers), Frailty in Older Adults (4 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Mohammad E Yadegarfar collaborates with scholars based in United Kingdom, New Zealand and France. Mohammad E Yadegarfar's co-authors include Motahare Yadegarfar, Brendon Stubbs, Alex J. Mitchell, Nick Meader, John S. Gill, Carol Jagger, Carmen Martín-Ruiz, Tom Kirkwood, Joanna Collerton and Thomas von Zglinicki and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Cochrane Database of Systematic Reviews and European Heart Journal.

In The Last Decade

Mohammad E Yadegarfar

21 papers receiving 674 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.

Prevalence and predictors of post-stroke mood disorders: A meta-analysis and meta-regression of depression, anxiety and adjustment disorder

2017 275 citations Alex J. Mitchell, John S. Gill et al. General Hospital Psychiatry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammad E Yadegarfar United Kingdom	12	234	175	123	81	81	21	685
Paola Santalucia Italy	18	338 1.4×	102 0.6×	147 1.2×	67 0.8×	62 0.8×	35	750
M. Angela O’Neal United States	10	166 0.7×	45 0.3×	123 1.0×	24 0.3×	153 1.9×	32	601
Karen Stadnyk Canada	13	122 0.5×	52 0.3×	31 0.3×	87 1.1×	250 3.1×	17	924
Seana L. Paul Australia	8	201 0.9×	177 1.0×	81 0.7×	53 0.7×	74 0.9×	11	421
Shilpa Krishnan United States	16	126 0.5×	186 1.1×	59 0.5×	20 0.2×	114 1.4×	45	594
Huiying Lin China	12	40 0.2×	113 0.6×	38 0.3×	180 2.2×	102 1.3×	19	496
Suzanne Hartley United Kingdom	14	49 0.2×	71 0.4×	19 0.2×	41 0.5×	49 0.6×	48	502
Elizabeth O’Connor United States	14	115 0.5×	18 0.1×	73 0.6×	105 1.3×	253 3.1×	41	920
Osama H. Al-Jiffri Saudi Arabia	13	137 0.6×	83 0.5×	47 0.4×	187 2.3×	57 0.7×	30	497
Paul Gerrard United States	14	278 1.2×	109 0.6×	69 0.6×	32 0.4×	78 1.0×	31	653

Countries citing papers authored by Mohammad E Yadegarfar

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad E Yadegarfar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad E Yadegarfar. 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 Mohammad E Yadegarfar. The network helps show where Mohammad E Yadegarfar may publish in the future.

Co-authorship network of co-authors of Mohammad E Yadegarfar

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

All Works

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20 of 20 papers shown

Yadegarfar, Mohammad E, et al.. (2024). Trifocal versus extended depth of focus (EDOF) intraocular lenses after cataract extraction. Cochrane Database of Systematic Reviews. 2024(7). CD014891–CD014891. 12 indexed citations

Todd, Oliver, Oliver Johnson, Chris Wilkinson, et al.. (2023). Attainment of NICE blood pressure targets among older people with newly diagnosed hypertension: nationwide linked electronic health records cohort study. Age and Ageing. 52(5). 1 indexed citations

Ronaldson, Amy, Jorge Arias de la Torre, Rebecca Bendayan, et al.. (2022). Physical multimorbidity, depressive symptoms, and social participation in adults over 50 years of age: findings from the English Longitudinal Study of Ageing. Aging & Mental Health. 27(1). 43–53. 20 indexed citations

Gan, Earn H, Carol Jagger, Mohammad E Yadegarfar, Rachel Duncan, & Simon H. S. Pearce. (2021). Changes in Serum Thyroid Function Predict Cognitive Decline in the Very Old: Longitudinal Findings from the Newcastle 85+ Study. Thyroid. 31(8). 1182–1191. 2 indexed citations

Aktaa, Suleman, Mohammad E Yadegarfar, Jianhua Wu, et al.. (2021). Quality of acute myocardial infarction care in England and Wales during the COVID-19 pandemic: linked nationwide cohort study. BMJ Quality & Safety. 31(2). 116–122. 8 indexed citations

Aktaa, Suleman, Mohammad E Yadegarfar, Jianhua Wu, et al.. (2021). Association of quality indicators for acute myocardial infarction and mortality: feasibility and validation study using linked nationwide registry data. European Heart Journal. 42(Supplement_1). 1 indexed citations

Yadegarfar, Mohammad E, Chris P Gale, Tatendashe Bernadette Dondo, et al.. (2020). Association of treatments for acute myocardial infarction and survival for seven common comorbidity states: a nationwide cohort study. BMC Medicine. 18(1). 231–231. 19 indexed citations

Mendonça, Nuno, Andrew Kingston, Mohammad E Yadegarfar, et al.. (2020). Transitions between frailty states in the very old: the influence of socioeconomic status and multi-morbidity in the Newcastle 85+ cohort study. Age and Ageing. 49(6). 974–981. 26 indexed citations

Gokul, Akilesh, Mohammad E Yadegarfar, Hans Vellara, et al.. (2020). Prospective Clinical Study of Keratoconus Progression in Patients Awaiting Corneal Cross-linking. Cornea. 39(10). 1256–1260. 21 indexed citations

10.

Wilkinson, Chris, Oliver Todd, Mohammad E Yadegarfar, et al.. (2020). Prescription of oral anticoagulation for stroke prophylaxis in atrial fibrillation according to frailty status: a national study of 536,995 primary care records. European Heart Journal. 41(Supplement_2). 1 indexed citations

11.

Wilkinson, Chris, Andrew Clegg, Oliver Todd, et al.. (2020). Atrial fibrillation and oral anticoagulation in older people with frailty: a nationwide primary care electronic health records cohort study. Age and Ageing. 50(3). 772–779. 40 indexed citations

12.

Dondo, Tatendashe Bernadette, Marlous Hall, Theresa Munyombwe, et al.. (2019). A nationwide causal mediation analysis of survival following ST-elevation myocardial infarction. Heart. 106(10). 765–771. 5 indexed citations

13.

Yadegarfar, Mohammad E, Carol Jagger, Rachel Duncan, et al.. (2018). Use of primary care and other healthcare services between age 85 and 90 years: longitudinal analysis of a single-year birth cohort, the Newcastle 85+ study. BMJ Open. 8(1). e019218–e019218. 7 indexed citations

14.

Mitchell, Alex J., John S. Gill, Motahare Yadegarfar, et al.. (2017). Prevalence and predictors of post-stroke mood disorders: A meta-analysis and meta-regression of depression, anxiety and adjustment disorder. General Hospital Psychiatry. 47. 48–60. 275 indexed citations breakdown →

15.

Pearce, Simon H. S., Salman Razvi, Mohammad E Yadegarfar, et al.. (2016). Serum Thyroid Function, Mortality and Disability in Advanced Old Age: The Newcastle 85+ Study. The Journal of Clinical Endocrinology & Metabolism. 101(11). 4385–4394. 66 indexed citations

16.

Fisher, Andrew J., Mohammad E Yadegarfar, Joanna Collerton, et al.. (2016). Respiratory health and disease in a UK population-based cohort of 85 year olds: The Newcastle 85+ Study. Thorax. 71(3). 255–266. 6 indexed citations

17.

Collerton, Joanna, Carol Jagger, Mohammad E Yadegarfar, et al.. (2016). Deconstructing Complex Multimorbidity in the Very Old: Findings from the Newcastle 85+ Study. BioMed Research International. 2016. 1–15. 43 indexed citations

18.

Spyridopoulos, Ioakim, Carmen Martín-Ruiz, Catharien M. U. Hilkens, et al.. (2015). CMV seropositivity and T‐cell senescence predict increased cardiovascular mortality in octogenarians: results from the Newcastle 85+ study. Aging Cell. 15(2). 389–392. 98 indexed citations

19.

Yadegarfar, Mohammad E, et al.. (2013). Deep sclerectomy versus trabeculectomy: a morphological study with anterior segment optical coherence tomography. British Journal of Ophthalmology. 97(6). 708–714. 17 indexed citations

20.

Collerton, Joanna, Deepthi Ashok, Carmen Martín-Ruiz, et al.. (2013). Frailty and mortality are not influenced by mitochondrial DNA haplotypes in the very old. Neurobiology of Aging. 34(12). 2889.e1–2889.e4. 14 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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