J. Slack
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Genetic Associations and Epidemiology
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Surgery 10
- Lipoproteins and Cardiovascular Health 9
- Cholesterol and Lipid Metabolism 2
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 6
- Co-authors
- K. Evans (1 shared paper)Ronald Hoffman (1 shared paper)ES Newlands (1 shared paper)N C Nevin (2 shared papers)T. L. Dormandy (1 shared paper)Alan Barnes (1 shared paper)John Dormandy (1 shared paper)Peter Locke (1 shared paper)
- Journals
- Journal of Medical Genetics (3 papers)The Lancet (2 papers)Annals of the Rheumatic Diseases (2 papers)European Journal of Clinical Investigation (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
J. Slack
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Genetics 205
- Endocrinology, Diabetes and Metabolism 300
- Cancer Research 171
- Cardiology and Cardiovascular Medicine 221
- Surgery 288
Countries citing papers authored by J. Slack
This map shows the geographic impact of J. Slack'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 J. Slack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Slack more than expected).
Fields of papers citing papers by J. Slack
This network shows the impact of papers produced by J. Slack. 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 J. Slack. The network helps show where J. Slack may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Slack, 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 | 1992 | 423 | |
| 2 | 1966 | 233 | |
| 3 | 1977 | 195 | |
| 4 | 1981 | 95 | |
| 5 | 1977 | 56 | |
| 6 | 1977 | 48 | |
| 7 | 1977 | 44 | |
| 8 | 1968 | 44 | |
| 9 | 1968 | 24 | |
| 10 | 1971 | 18 | |
| 11 | 1982 | 15 | |
| 12 | 1982 | 9 | |
| 13 | 1983 | 8 | |
| 14 | 1976 | 7 | |
| 15 | 1981 | 6 | |
| 16 | 1990 | 5 | |
| 17 | 1980 | 2 | |
| 18 | 1980 | 1 |
About J. Slack
J. Slack is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Nephrology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipid metabolism and disorders (4 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Cholesterol and Lipid Metabolism (2 papers), Blood properties and coagulation (1 paper) and Fatty Acid Research and Health (1 paper). The work is most often cited by research in Genetics (205 citations), Endocrinology, Diabetes and Metabolism (300 citations), Cancer Research (171 citations), Cardiology and Cardiovascular Medicine (221 citations) and Surgery (288 citations). J. Slack has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include K. Evans, Ronald Hoffman, ES Newlands, N C Nevin, T. L. Dormandy, Alan Barnes, John Dormandy, Peter Locke, P R Scudder and Arvid Heiberg. Their work appears in journals such as Journal of Medical Genetics, The Lancet, Annals of the Rheumatic Diseases, European Journal of Clinical Investigation and Advances in experimental medicine and biology.
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.