Dan Schmidt

3.6k citations
68 papers · 2.3k · 4 hit papers · h-index 21

Impact in

Papers in

Dan Schmidt

58 papers receiving 2.3k citations

Dan Schmidt's Hit Papers

Alcohol consumption and risks of more than 200 diseases in Chinese men 2023 · 121 citations
1210+2+4Years since publication100200300

Peers

Dan Schmidt
Comparison fields: 5 of 121
  • Cardiology and Cardiovascular Medicine 408
  • Genetics 424
  • Geriatrics and Gerontology 45
  • Epidemiology 391
  • Endocrinology, Diabetes and Metabolism 195
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Dan Schmidt relative to Daniel Avery United Kingdom Daniel Avery's profile →
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Countries citing papers authored by Dan Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Dan Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Schmidt, 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 Dan Schmidt Line = papers co-authored together Dan Schmidt 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
Stroke genetics informs drug discovery and risk prediction across ancestries
Hit paper breakdown →
2022372
2
Mortality and recurrent vascular events after first incident stroke: a 9-year community-based study of 0·5 million Chinese adults
Hit paper breakdown →
2020239
3 2017197
4 2018138
5 2022125
6
Alcohol consumption and risks of more than 200 diseases in Chinese men
Hit paper breakdown →
2023121
7 2020106
8
Genotyping and population characteristics of the China Kadoorie Biobank
Hit paper breakdown →
2023100
9 201878
10 201871
11 201770
12 202354
13 201953
14 202237
15 202236
16 202329
17 202028
18 202328
19 202126
20 202326

About Dan Schmidt

Dan Schmidt is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 68 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (22 papers), Cardiovascular Health and Risk Factors (9 papers), Acute Ischemic Stroke Management (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Smoking Behavior and Cessation (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Energy and Environment Impacts (3 papers) and Nutritional Studies and Diet (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (408 citations), Genetics (424 citations), Geriatrics and Gerontology (45 citations), Epidemiology (391 citations) and Endocrinology, Diabetes and Metabolism (195 citations). Dan Schmidt has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Liming Li, Zhengming Chen, Huaidong Du, Canqing Yu, Ling Yang, Pei Pei, Junshi Chen, Jun Lv, Dianjianyi Sun and Yiping Chen. Their work appears in journals such as The Lancet Regional Health - Western Pacific, The Lancet Global Health, BMC Medicine, Scientific Reports and Journal of the American Heart Association.

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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