Hatem A Wafa

14.4k total citations · 1 hit paper
13 papers, 597 citations indexed

About

Hatem A Wafa is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Hatem A Wafa has authored 13 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Hatem A Wafa's work include Acute Ischemic Stroke Management (7 papers), Stroke Rehabilitation and Recovery (4 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). Hatem A Wafa is often cited by papers focused on Acute Ischemic Stroke Management (7 papers), Stroke Rehabilitation and Recovery (4 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). Hatem A Wafa collaborates with scholars based in United Kingdom, United States and Netherlands. Hatem A Wafa's co-authors include Yanzhong Wang, Charles Wolfe, Eva Emmett, Gregory A. Roth, Catherine O. Johnson, Ajay Bhalla, Anthony Rudd, Rhiannon Tudor Edwards, Catey Bunce and David Steel and has published in prestigious journals such as Stroke, PLoS Medicine and Journal of the American Medical Informatics Association.

In The Last Decade

Hatem A Wafa

11 papers receiving 584 citations

Hit Papers

Burden of Stroke in Europe 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hatem A Wafa United Kingdom 6 264 253 94 84 76 13 597
Eva Emmett United Kingdom 7 276 1.0× 262 1.0× 99 1.1× 77 0.9× 102 1.3× 12 618
Laetitia Yperzeele Belgium 12 295 1.1× 238 0.9× 110 1.2× 54 0.6× 125 1.6× 35 630
Yongchai Nilanont Thailand 10 280 1.1× 334 1.3× 156 1.7× 87 1.0× 52 0.7× 25 661
Dorcas B.C. Gandhi India 13 298 1.1× 348 1.4× 78 0.8× 50 0.6× 74 1.0× 31 714
Thomas Toell Austria 12 304 1.2× 237 0.9× 88 0.9× 116 1.4× 171 2.3× 24 661
Teresa Ullberg Sweden 13 428 1.6× 285 1.1× 158 1.7× 93 1.1× 107 1.4× 48 651
Saad Shafqat Pakistan 13 311 1.2× 266 1.1× 157 1.7× 92 1.1× 70 0.9× 25 672
Kürşad Kutluk Türkiye 7 264 1.0× 218 0.9× 121 1.3× 64 0.8× 60 0.8× 23 476
Iuri Santana Neville Brazil 11 203 0.8× 135 0.5× 139 1.5× 62 0.7× 27 0.4× 42 494
Jessica Kepplinger Germany 11 251 1.0× 168 0.7× 96 1.0× 93 1.1× 73 1.0× 22 473

Countries citing papers authored by Hatem A Wafa

Since Specialization
Citations

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

Fields of papers citing papers by Hatem A Wafa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hatem A Wafa. 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 Hatem A Wafa. The network helps show where Hatem A Wafa may publish in the future.

Co-authorship network of co-authors of Hatem A Wafa

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

All Works

13 of 13 papers shown
4.
Liu, Lidan, et al.. (2024). Diagnostic accuracy of deep learning using speech samples in depression: a systematic review and meta-analysis. Journal of the American Medical Informatics Association. 31(10). 2394–2404. 5 indexed citations
5.
Marshall, Iain, Charles Wolfe, Eva Emmett, et al.. (2023). Cohort profile: The South London Stroke Register – a population-based register measuring the incidence and outcomes of stroke. Journal of Stroke and Cerebrovascular Diseases. 32(8). 107210–107210. 7 indexed citations
8.
Marshall, Iain, Christopher McKevitt, Yanzhong Wang, et al.. (2022). Stroke pathway — An evidence base for commissioning — An evidence review for NHS England and NHS Improvement. NIHR Open Research. 2. 43–43. 4 indexed citations
9.
Youkee, Daniel, Gibrilla F. Deen, Edward J. Barrett, et al.. (2021). A Prospective Stroke Register in Sierra Leone: Demographics, Stroke Type, Stroke Care and Hospital Outcomes. Frontiers in Neurology. 12. 712060–712060. 9 indexed citations
10.
Wafa, Hatem A, Charles Wolfe, Eva Emmett, et al.. (2020). Burden of Stroke in Europe. Stroke. 51(8). 2418–2427. 478 indexed citations breakdown →
11.
Wafa, Hatem A, Charles Wolfe, Ajay Bhalla, & Yanzhong Wang. (2020). Long-term trends in death and dependence after ischaemic strokes: A retrospective cohort study using the South London Stroke Register (SLSR). PLoS Medicine. 17(3). e1003048–e1003048. 39 indexed citations
12.
Wafa, Hatem A, Eva Emmett, Charles Wolfe, & Yanzhong Wang. (2019). BURDEN OF STROKE IN EUROPE: 30-YEAR PROJECTIONS OF INCIDENCE, PREVALENCE, DEATHS AND DALYS IN EU COUNTRIES. 4. 5–5. 1 indexed citations
13.
Wafa, Hatem A, Charles Wolfe, Anthony Rudd, & Yanzhong Wang. (2018). Long-term trends in incidence and risk factors for ischaemic stroke subtypes: Prospective population study of the South London Stroke Register. PLoS Medicine. 15(10). e1002669–e1002669. 29 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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