Steven Hawken

22.9k citations
132 papers · 15.8k indexed · 5 hit papers · h-index 30

Steven Hawken

122 papers receiving 15.0k citations

Hit Papers

Lipids, lipoproteins, and apolipoproteins as risk markers...61720042026201120182.5k5.0k7.5k

Peers

Steven Hawken
Comparison fields: 5 of 182
  • Cardiology and Cardiovascular Medicine 6.6k
  • Endocrinology, Diabetes and Metabolism 3.3k
  • Public Health, Environmental and Occupational Health 3.1k
  • Health 859
  • Organizational Behavior and Human Resource Management 873
Replace Lisheng Liu with:
Lisheng Liu China
Michelle A. Albert United States
Stephanie Ôunpuu Canada
Cheryl Dennison Himmelfarb United States
Rachel Huxley Australia
Steven Shea United States
Annika Rosengren Sweden
Daniel T. Lackland United States
Monika M. Safford United States
Erin D. Michos United States
Steven Hawken relative to Lisheng Liu China Lisheng Liu's profile →
Citations per field
00.5×1.5×2.1×
Lisheng Liu · 1×
Citations per year

Countries citing papers authored by Steven Hawken

Since Specialization
Citations

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

Fields of papers citing papers by Steven Hawken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Steven Hawken, 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 Steven Hawken Line = papers co-authored together Steven Hawken links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20245
5 20241
6 20240
7 20243
8 20242
9 20241
10 20234
11 20231
12 20235
13 20230
14 20213
15 202150
16 20211
17 20194
18 20177
19 201723
20 201212

About Steven Hawken

Steven Hawken is a scholar working on Health, Internal Medicine and Microbiology, having authored 132 papers that have together received 15.8k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (27 papers), Influenza Virus Research Studies (19 papers), Neonatal Respiratory Health Research (11 papers), Birth, Development, and Health (10 papers), Pregnancy and preeclampsia studies (9 papers), Bacterial Infections and Vaccines (9 papers), Pneumonia and Respiratory Infections (8 papers) and Neonatal and fetal brain pathology (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (6.6k citations), Endocrinology, Diabetes and Metabolism (3.3k citations) and Public Health, Environmental and Occupational Health (3.1k citations). Steven Hawken has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Salim Yusuf, Stephanie Ôunpuu, Lisheng Liu, Matthew McQueen, Andrzej Budaj, Prem Pais, Fernando Laņas, George Varigos, Álvaro Avezum and Karen Sliwa. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Vaccine, PLoS ONE, BMJ Open and Scientific Reports.

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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