Stephen Weng

4.3k total citations · 2 hit papers
67 papers, 2.8k citations indexed

About

Stephen Weng is a scholar working on Surgery, Economics and Econometrics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Stephen Weng has authored 67 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Surgery, 21 papers in Economics and Econometrics and 17 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Stephen Weng's work include Lipoproteins and Cardiovascular Health (25 papers), Health Systems, Economic Evaluations, Quality of Life (20 papers) and Obesity, Physical Activity, Diet (10 papers). Stephen Weng is often cited by papers focused on Lipoproteins and Cardiovascular Health (25 papers), Health Systems, Economic Evaluations, Quality of Life (20 papers) and Obesity, Physical Activity, Diet (10 papers). Stephen Weng collaborates with scholars based in United Kingdom, United States and Netherlands. Stephen Weng's co-authors include Nadeem Qureshi, Joe Kai, Jonathan M. Garibaldi, Jenna Reps, Cris Glazebrook, Sarah Redsell, J. A. Swift, Min Yang, Ralph Kwame Akyea and Dilip Nathan and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Stephen Weng

65 papers receiving 2.7k 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.

Can machine-learning improve cardiovascular risk prediction using routine clinical data?

2017 820 citations Stephen Weng, Jenna Reps et al. PLoS ONE profile →
Systematic review and meta-analyses of risk factors for childhood overweight identifiable during infancy

2012 462 citations Stephen Weng, Sarah Redsell et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen Weng United Kingdom	21	739	571	433	419	410	67	2.8k
Nadeem Qureshi United Kingdom	33	809 1.1×	563 1.0×	493 1.1×	886 2.1×	405 1.0×	161	4.8k
Sengwee Toh United States	40	1.2k 1.7×	560 1.0×	257 0.6×	857 2.0×	989 2.4×	200	5.5k
Frank Sanfilippo Australia	31	327 0.4×	530 0.9×	181 0.4×	424 1.0×	179 0.4×	197	3.3k
Kazuhiko Ohe Japan	29	337 0.5×	250 0.4×	219 0.5×	473 1.1×	113 0.3×	196	2.8k
Colin McCowan United Kingdom	36	832 1.1×	782 1.4×	175 0.4×	278 0.7×	512 1.2×	135	4.2k
Emily Herrett United Kingdom	22	522 0.7×	1.0k 1.8×	210 0.5×	728 1.7×	175 0.4×	43	5.2k
Johanna AAG Damen Netherlands	25	285 0.4×	446 0.8×	148 0.3×	432 1.0×	109 0.3×	66	2.8k
Rachael Fleurence United States	24	356 0.5×	402 0.7×	134 0.3×	475 1.1×	142 0.3×	50	3.2k
Marc B. Rosenman United States	26	315 0.4×	469 0.8×	182 0.4×	223 0.5×	205 0.5×	126	2.7k
Davood Khalili Iran	34	1.0k 1.4×	801 1.4×	158 0.4×	450 1.1×	249 0.6×	226	4.1k

Countries citing papers authored by Stephen Weng

Since Specialization

Citations

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

Fields of papers citing papers by Stephen Weng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Weng

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

Chen, Ruchong, Danrong Yang, Chuntao Liu, et al.. (2025). Clinical Remission Outcome in Chinese Patients With Severe Asthma With an Eosinophilic Phenotype Receiving Mepolizumab: A Post-hoc Analysis of a Phase 3, Randomized, Double-Blind, Placebo-Controlled Trial. Allergy Asthma and Immunology Research. 17(4). 473–473. 1 indexed citations

Pavord, Ian, et al.. (2025). Evaluating Asthma Clinical Remission with Inhaled Therapy: Post Hoc Analyses of CAPTAIN. Advances in Therapy. 43(2). 729–749.

Aggarwal, Bhumika, Paul Jones, Alejandro Casas, et al.. (2024). Association between Increased Risk of Pneumonia with ICS in COPD: A Continuous Variable Analysis of Patient Factors from the IMPACT Study. Pulmonary Therapy. 10(2). 183–192. 6 indexed citations

Oppenheimer, John, Ian Pavord, Thomas Corbridge, et al.. (2024). Influence of Different Thresholds for Asthma Control on Clinical Remission Composite Outcome in Patients Uncontrolled on ICS/LABA: A Post-hoc Analysis of Single Inhaler Triple Therapy With FF/UMEC/VI in the CAPTAIN Trial. A5267–A5267. 1 indexed citations

Mannino, David M., Stephen Weng, Guillaume Germain, et al.. (2024). Comparative Effectiveness of Fluticasone Furoate/Umeclidinium/Vilanterol and Budesonide/Glycopyrrolate/Formoterol Fumarate among US Patients with Chronic Obstructive Pulmonary Disease. Advances in Therapy. 42(2). 1131–1146. 3 indexed citations

Piazza, Gregory, Alex C. Spyropoulos, Judith Hsia, et al.. (2023). Rivaroxaban for Prevention of Thrombotic Events, Hospitalization, and Death in Outpatients With COVID-19: A Randomized Clinical Trial. Circulation. 147(25). 1891–1901. 15 indexed citations

Zghebi, Salwa S., Martin K. Rutter, Louise Y. Sun, et al.. (2023). Comorbidity clusters and in-hospital outcomes in patients admitted with acute myocardial infarction in the USA: A national population-based study. PLoS ONE. 18(10). e0293314–e0293314. 4 indexed citations

Hsia, Judith, Alex C. Spyropoulos, Gregory Piazza, et al.. (2023). Antithrombotic Prophylaxis with Rivaroxaban in Patients with Prehospital COVID-19: A Meta-analysis of Two Placebo-Controlled Trials. Thrombosis and Haemostasis. 124(7). 649–655. 1 indexed citations

Condon, Laura, et al.. (2022). Introducing genetic testing with case finding for familial hypercholesterolaemia in primary care: qualitative study of patient and health professional experience. British Journal of General Practice. 72(720). e519–e527. 3 indexed citations

10.

Weng, Stephen, Ralph Kwame Akyea, Kenneth K. C. Man, et al.. (2021). Determining propensity for sub-optimal low-density lipoprotein cholesterol response to statins and future risk of cardiovascular disease. PLoS ONE. 16(12). e0260839–e0260839. 4 indexed citations

11.

Blais, Joseph E., Ralph Kwame Akyea, Wallis C. Y. Lau, et al.. (2020). Lipid levels and major adverse cardiovascular events in patients initiated on statins for primary prevention: an international population-based cohort study protocol. BJGP Open. 5(1). bjgpopen20X101127–bjgpopen20X101127. 3 indexed citations

12.

Akyea, Ralph Kwame, Jo Leonardi‐Bee, Folkert W. Asselbergs, et al.. (2020). Predicting major adverse cardiovascular events for secondary prevention: protocol for a systematic review and meta-analysis of risk prediction models. BMJ Open. 10(7). e034564–e034564. 14 indexed citations

13.

Glazebrook, Cris, Heather Wharrad, A Niroshan Siriwardena, et al.. (2019). Proactive Assessment of Obesity Risk during Infancy (ProAsk): a qualitative study of parents’ and professionals’ perspectives on an mHealth intervention. BMC Public Health. 19(1). 294–294. 14 indexed citations

14.

Weng, Stephen, Joe Kai, Ralph Kwame Akyea, & Nadeem Qureshi. (2019). Detection of familial hypercholesterolaemia: external validation of the FAMCAT clinical case-finding algorithm to identify patients in primary care. The Lancet Public Health. 4(5). e256–e264. 33 indexed citations

15.

Zghebi, Salwa S., Martin K. Rutter, Darren M. Ashcroft, et al.. (2018). Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design. BMJ Open. 8(6). e020926–e020926. 13 indexed citations

16.

Redsell, Sarah, Stephen Weng, J. A. Swift, et al.. (2017). Digital technology to facilitate Proactive Assessment of Obesity Risk during Infancy (ProAsk): a feasibility study. BMJ Open. 7(9). e017694–e017694. 17 indexed citations

17.

Weng, Stephen, Jenna Reps, Joe Kai, Jonathan M. Garibaldi, & Nadeem Qureshi. (2017). Can machine-learning improve cardiovascular risk prediction using routine clinical data?. PLoS ONE. 12(4). e0174944–e0174944. 820 indexed citations breakdown →

18.

Qureshi, Nadeem, et al.. (2016). Feasibility of improving identification of familial hypercholesterolaemia in general practice: intervention development study. BMJ Open. 6(5). e011734–e011734. 20 indexed citations

19.

Redsell, Sarah, Stephen Weng, J. A. Swift, Dilip Nathan, & Cris Glazebrook. (2016). Validation, Optimal Threshold Determination, and Clinical Utility of the Infant Risk of Overweight Checklist for Early Prevention of Child Overweight. Childhood Obesity. 12(3). 202–209. 29 indexed citations

20.

Glesby, Marshall J., Donald R. Hoover, Stephen Weng, et al.. (1996). Use of Antiherpes Drugs and the Risk of Kaposi's Sarcoma: Data from the Multicenter AIDS Cohort Study. The Journal of Infectious Diseases. 173(6). 1477–1480. 113 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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