Joan Slack

1.2k citations
22 papers · 876 · 1 hit paper · h-index 11

Impact in

Papers in

Joan Slack

22 papers receiving 770 citations

Joan Slack's Hit Papers

RISKS OF ISCHÆMIC HEART-DISEASE IN FAMILIAL HYPERLIPOPROTEINÆMIC STATES 1969 · 491 citations
4910+19+38Years since publication100200300400

Peers

Joan Slack
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 322
  • Surgery 560
  • Cancer Research 182
  • Cardiology and Cardiovascular Medicine 216
  • Internal Medicine 12
Replace J. L. Beaumont with:
J. L. Beaumont France
S Ericsson Sweden
A Rubinstein Israel
Gregory M. Eaton United States
M Liron Israel
Sohah N. Iqbal United States
P J Lupien Canada
Anne Q. Reuwer Netherlands
Annika Asplund Sweden
Melchior C. Nierman Netherlands
Joan Slack relative to J. L. Beaumont France J. L. Beaumont's profile →
Citations per field
00.5×6.8×
J. L. Beaumont · 1×
Citations per year

Countries citing papers authored by Joan Slack

Since Specialization
Citations

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

Fields of papers citing papers by Joan Slack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
RISKS OF ISCHÆMIC HEART-DISEASE IN FAMILIAL HYPERLIPOPROTEINÆMIC STATES
Hit paper breakdown →
1969491
2 1972108
3 197062
4 196433
5 197324
6 197420
7 197319
8 196018
9 197718
10 197216
11 197413
12
Lipoprotein lipase in cystic fibrosis of the pancreas.
196210
13
Influences on nurses' management of pain in children.
19908
14 19766
15 19816
16 19795
17 19745
18 19805
19 19604
20 19743

About Joan Slack

Joan Slack is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Cancer Research and Clinical Biochemistry, having authored 22 papers that have together received 876 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Lipoproteins and Cardiovascular Health (7 papers), Cancer, Lipids, and Metabolism (5 papers), Lipid metabolism and disorders (5 papers), Metabolism and Genetic Disorders (4 papers), Cholesterol and Lipid Metabolism (3 papers), Hemoglobinopathies and Related Disorders (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (322 citations), Surgery (560 citations), Cancer Research (182 citations), Cardiology and Cardiovascular Medicine (216 citations) and Internal Medicine (12 citations). Joan Slack has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include David Patterson, G.L. Mills, N. B. Myant, Lawson McDonald, John Seymour, David Yi‐Yung Hsia, R J Sheppard, E H Grant, S. Balasubramaniam and Carole Bye. Their work appears in journals such as The Lancet, Clinica Chimica Acta, Pediatric Clinics of North America, British Journal of Dermatology and New England Journal of Medicine.

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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