Daniel I. Swerdlow
Impact in
- Immunology top 10%
- Atherosclerosis and Cardiovascular Diseases
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Co-authors
- Aroon D. Hingorani (6 shared papers)Michael V. Holmes (5 shared papers)Steve E. Humphries (6 shared papers)Jon White (2 shared papers)David Preiss (3 shared papers)G. Campion (5 shared papers)Naveed Sattar (2 shared papers)Brendan J. Keating (2 shared papers)
- Journals
- Atherosclerosis (2 papers)Circulation (2 papers)JAMA (1 paper)Current Opinion in Lipidology (1 paper)Cardiovascular Research (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Daniel I. Swerdlow
20 papers receiving 1.7k citations
Daniel I. Swerdlow's Hit Papers
Peers
Comparison fields: 5 of 104
- Immunology 385
- Endocrinology, Diabetes and Metabolism 293
- Cardiology and Cardiovascular Medicine 368
- Genetics 408
- Surgery 581
Countries citing papers authored by Daniel I. Swerdlow
This map shows the geographic impact of Daniel I. Swerdlow'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 Daniel I. Swerdlow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel I. Swerdlow more than expected).
Fields of papers citing papers by Daniel I. Swerdlow
This network shows the impact of papers produced by Daniel I. Swerdlow. 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 Daniel I. Swerdlow. The network helps show where Daniel I. Swerdlow may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel I. Swerdlow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The interleukin-6 receptor as a target for prevention of coronary heart disease: a mendelian randomisation analysis Hit paper breakdown → | 2012 | 788 |
| 2 | 2016 | 213 | |
| 3 | 2016 | 209 | |
| 4 | Single Ascending Dose Study of a Short Interfering RNA Targeting Lipoprotein(a) Production in Individuals With Elevated Plasma Lipoprotein(a) Levels Hit paper breakdown → | 2022 | 209 |
| 5 | 2022 | 47 | |
| 6 | 2021 | 41 | |
| 7 | 2013 | 36 | |
| 8 | 2012 | 27 | |
| 9 | 2012 | 25 | |
| 10 | 2016 | 21 | |
| 11 | 2016 | 17 | |
| 12 | 2015 | 17 | |
| 13 | 2015 | 12 | |
| 14 | 2017 | 8 | |
| 15 | 2016 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2010 | 4 | |
| 18 | 2009 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2020 | 2 |
About Daniel I. Swerdlow
Daniel I. Swerdlow is a scholar working on Surgery, Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (12 papers), Genetic Associations and Epidemiology (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Cancer, Lipids, and Metabolism (3 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), RNA modifications and cancer (2 papers), Coronary Interventions and Diagnostics (1 paper) and IL-33, ST2, and ILC Pathways (1 paper). The work is most often cited by research in Immunology (385 citations), Endocrinology, Diabetes and Metabolism (293 citations), Cardiology and Cardiovascular Medicine (368 citations), Genetics (408 citations) and Surgery (581 citations). Daniel I. Swerdlow has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Aroon D. Hingorani, Michael V. Holmes, Steve E. Humphries, Jon White, David Preiss, G. Campion, Naveed Sattar, Brendan J. Keating, Folkert W. Asselbergs and Reecha Sofat. Their work appears in journals such as Atherosclerosis, Circulation, JAMA, Current Opinion in Lipidology and Cardiovascular Research.
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.