Ṣẹ̀yẹ Abògúnr̀in

608 total citations
31 papers, 426 citations indexed

About

Ṣẹ̀yẹ Abògúnr̀in is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Statistics, Probability and Uncertainty. According to data from OpenAlex, Ṣẹ̀yẹ Abògúnr̀in has authored 31 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 5 papers in Oncology and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in Ṣẹ̀yẹ Abògúnr̀in's work include Meta-analysis and systematic reviews (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers) and Prostate Cancer Treatment and Research (4 papers). Ṣẹ̀yẹ Abògúnr̀in is often cited by papers focused on Meta-analysis and systematic reviews (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers) and Prostate Cancer Treatment and Research (4 papers). Ṣẹ̀yẹ Abògúnr̀in collaborates with scholars based in United Kingdom, Switzerland and United States. Ṣẹ̀yẹ Abògúnr̀in's co-authors include Jérôme Dinet, H. Kurth, Ike Iheanacho, Stuart Carroll, Gian Luca Di Tanna, Kamal Desai, Ginés Sanz, Virginia Becerra, Valentı́n Fuster and Alfredo Gracia and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and European Journal of Cancer.

In The Last Decade

Ṣẹ̀yẹ Abògúnr̀in

29 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ṣẹ̀yẹ Abògúnr̀in United Kingdom 9 99 82 64 62 58 31 426
M Benford United Kingdom 4 97 1.0× 56 0.7× 78 1.2× 49 0.8× 65 1.1× 9 610
Michael W. Pill United States 9 44 0.4× 93 1.1× 42 0.7× 67 1.1× 88 1.5× 10 531
Alice Nourissat France 11 132 1.3× 23 0.3× 25 0.4× 17 0.3× 130 2.2× 16 473
Austin B. Miller United States 14 74 0.7× 15 0.2× 94 1.5× 102 1.6× 103 1.8× 35 560
Margarita Udall United States 12 51 0.5× 42 0.5× 100 1.6× 32 0.5× 125 2.2× 22 481
Todd Miller United States 15 68 0.7× 112 1.4× 48 0.8× 13 0.2× 23 0.4× 35 551
Carol Kittel United States 11 38 0.4× 163 2.0× 83 1.3× 16 0.3× 30 0.5× 52 380
Alexander D. Sherry United States 10 79 0.8× 49 0.6× 81 1.3× 29 0.5× 134 2.3× 73 379
Erik Rødevand Norway 15 28 0.3× 28 0.3× 41 0.6× 35 0.6× 13 0.2× 31 1.2k

Countries citing papers authored by Ṣẹ̀yẹ Abògúnr̀in

Since Specialization
Citations

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

Fields of papers citing papers by Ṣẹ̀yẹ Abògúnr̀in

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ṣẹ̀yẹ Abògúnr̀in

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

All Works

20 of 20 papers shown
1.
Abògúnr̀in, Ṣẹ̀yẹ, Jeffrey M. Muir, Cristiano A. F. Zerbini, & Grammati Sarri. (2025). How much can we save by applying artificial intelligence in evidence synthesis? Results from a pragmatic review to quantify workload efficiencies and cost savings. Frontiers in Pharmacology. 16. 1454245–1454245. 1 indexed citations
2.
Daigl, Monica, Ṣẹ̀yẹ Abògúnr̀in, Felipe A. Castro, et al.. (2024). Advancing the role of real-world evidence in comparative effectiveness research. Journal of Comparative Effectiveness Research. 13(12). e240101–e240101. 1 indexed citations
3.
4.
Abògúnr̀in, Ṣẹ̀yẹ, et al.. (2023). MSR84 How Can Explainable Artificial Intelligence Accelerate the Systematic Literature Review Process?. Value in Health. 26(6). S293–S293. 1 indexed citations
5.
Brown, Audrey E., et al.. (2023). Survival and Quality-of-life Outcomes in Early-Stage NSCLC Patients: a Literature Review of Real-World Evidence. PubMed. 12(3). LMT60–LMT60. 6 indexed citations
6.
Abògúnr̀in, Ṣẹ̀yẹ, et al.. (2023). Systematic Literature Review to Identify Cost and Resource Use Data in Patients with Early-Stage Non-small Cell Lung Cancer (NSCLC). PharmacoEconomics. 41(11). 1437–1452. 7 indexed citations
7.
Abògúnr̀in, Ṣẹ̀yẹ, et al.. (2023). Health State Utility Values in Early-Stage Non-small Cell Lung Cancer: A Systematic Literature Review. PharmacoEconomics - Open. 7(5). 723–738. 2 indexed citations
8.
Witzmann, A., et al.. (2022). POSB300 Ontology-Based Text Mining in Scientific Literature. Value in Health. 25(1). S202–S202. 1 indexed citations
9.
Witzmann, A., et al.. (2022). POSB317 Machines As a Second Reviewer in Systematic Literature Reviews. Value in Health. 25(1). S205–S206. 1 indexed citations
10.
Lee, Soyon, et al.. (2020). <p>Patient-Reported Outcomes and Economic Burden of Adults with Sickle Cell Disease in the United States: A Systematic Review</p>. International Journal of General Medicine. Volume 13. 361–377. 26 indexed citations
11.
Abògúnr̀in, Ṣẹ̀yẹ, et al.. (2020). ML1 Do Machines Perform Better THAN Humans at Systematic Review of Published Literature? a Case Study of Prostate Cancer Clinical Evidence. Value in Health. 23. S404–S404. 2 indexed citations
12.
13.
Sarri, Grammati, et al.. (2018). Systematic literature review and assessment of patient-reported outcome instruments in sickle cell disease. Health and Quality of Life Outcomes. 16(1). 99–99. 20 indexed citations
14.
Arregui, Maurice E., et al.. (2018). PHP132 - CAN BLOCKCHAIN TECHNOLOGY IMPROVE THE QUALITY OF CLINICAL TRIAL EVIDENCE? – A SYSTEMATIC LITERATURE REVIEW. Value in Health. 21. S172–S172. 1 indexed citations
15.
Saad, Fred, Tetsuro Ito, Joris Diels, et al.. (2017). Indirect comparison of abiraterone acetate and docetaxel for treatment of metastatic “hormone-sensitive” prostate cancer. Annals of Oncology. 28. v277–v277. 3 indexed citations
16.
Albertí, A., et al.. (2016). Literature review of the distribution of hepatitis C virus genotypes across Europe. Journal of Medical Virology. 88(12). 2157–2169. 20 indexed citations
17.
Abògúnr̀in, Ṣẹ̀yẹ, et al.. (2016). Sunitinib Dosing Schedules in The Management of Metastatic Renal Cell Carcinoma: A Meta-Analysis. Value in Health. 19(7). A711–A711.
18.
Becerra, Virginia, Alfredo Gracia, Kamal Desai, et al.. (2015). Cost-effectiveness and public health benefit of secondary cardiovascular disease prevention from improved adherence using a polypill in the UK. BMJ Open. 5(5). e007111–e007111. 69 indexed citations
19.
Abògúnr̀in, Ṣẹ̀yẹ, et al.. (2015). AbobotulinumtoxinA in the management of cervical dystonia in the United Kingdom: a budget impact analysis. ClinicoEconomics and Outcomes Research. 7. 441–441. 5 indexed citations
20.
Abògúnr̀in, Ṣẹ̀yẹ, et al.. (2013). Can the Use of Social Media and Mobile Apps Improve Patient Knowledge of Disease and Health Outcomes? A Systematic Review. Value in Health. 16(7). A326–A326. 4 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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