Stephen Weng

4.5k citations
68 papers · 3.0k · 2 hit papers · h-index 21

Impact in

Papers in

    • Lipoproteins and Cardiovascular Health 23
    • Breastfeeding Practices and Influences 3

Stephen Weng

67 papers receiving 2.9k citations

Stephen Weng's Hit Papers

Can machine-learning improve cardiovascular risk prediction using routine clinical data? 2017 · 918 citations
9180+4+9Years since publication250500750

Peers

Stephen Weng
Comparison fields: 5 of 147
  • Health Informatics 143
  • Health Information Management 397
  • Medical Laboratory Technology 33
  • Public Health, Environmental and Occupational Health 423
  • Pediatrics, Perinatology and Child Health 227
Replace Nadeem Qureshi with:
Nadeem Qureshi United Kingdom
Prabath W.B. Nanayakkara Netherlands
Jonathan P. Wanderer United States
Reed T. Sutton Canada
Kazuhiko Ohe Japan
Elizabeth C. Wick United States
Andrew A. Kramer United States
Karen I. Kroeker Canada
Sengwee Toh United States
Justina Sam Canada
Stephen Weng relative to Nadeem Qureshi United Kingdom Nadeem Qureshi's profile →
Citations per field
00.5×1.5×
Nadeem Qureshi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Stephen Weng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen Weng Line = papers co-authored together Stephen Weng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Can machine-learning improve cardiovascular risk prediction using routine clinical data?
Hit paper breakdown →
2017918
2
Systematic review and meta-analyses of risk factors for childhood overweight identifiable during infancy
Hit paper breakdown →
2012481
3 2019210
4 2015164
5 1996131
6 2013103
7 201991
8 201276
9 201476
10 201975
11 200866
12 201559
13 202146
14 202139
15 202036
16 201934
17 201631
18 202026
19 201925
20 202124

About Stephen Weng

Stephen Weng is a scholar working on Surgery, Epidemiology, Pulmonary and Respiratory Medicine, Physiology and Cardiology and Cardiovascular Medicine, having authored 68 papers that have together received 3.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (23 papers), Asthma and respiratory diseases (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Breastfeeding Practices and Influences (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Obesity, Physical Activity, Diet (2 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Health Informatics (143 citations), Health Information Management (397 citations), Medical Laboratory Technology (33 citations), Public Health, Environmental and Occupational Health (423 citations) and Pediatrics, Perinatology and Child Health (227 citations). Stephen Weng has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Nadeem Qureshi, Joe Kai, Jenna Reps, Jonathan M. Garibaldi, J. A. Swift, Sarah Redsell, Cris Glazebrook, Min Yang, Ralph Kwame Akyea and Dilip Nathan. Their work appears in journals such as Atherosclerosis, Cochrane Database of Systematic Reviews, Open Heart, BMJ Open and PLoS ONE.

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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