Joan Slack

1.2k citations
19 papers · 812 · 1 hit paper · h-index 11

Impact in

Papers in

Joan Slack

19 papers receiving 718 citations

Joan Slack's Hit Papers

RISKS OF ISCHÆMIC HEART-DISEASE IN FAMILIAL HYPERLIPOPROTEINÆMIC STATES 1969 · 466 citations
4660+19+38Years since publication100200300400

Peers

Joan Slack
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 331
  • Cancer Research 195
  • Surgery 539
  • Cardiology and Cardiovascular Medicine 218
  • Clinical Biochemistry 22
Replace J. L. Beaumont with:
J. L. Beaumont France
M Liron Israel
C.D. Furberg United States
K. Winkler Germany
Anne Q. Reuwer Netherlands
Elena Burillo Spain
Yuji Matsuzawa Japan
Bert D. Dikkeschei Netherlands
J Truffert France
Gissette Reyes‐Soffer United States
Joan Slack relative to J. L. Beaumont France J. L. Beaumont's profile →
Citations per field
00.5×6.5×
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

19 of 19 papers shown
#Work
1
RISKS OF ISCHÆMIC HEART-DISEASE IN FAMILIAL HYPERLIPOPROTEINÆMIC STATES
Hit paper breakdown →
1969466
2 197299
3 197055
4 196431
5 197323
6 197419
7 197718
8 197317
9 197216
10 196015
11 197412
12
Lipoprotein lipase in cystic fibrosis of the pancreas.
196210
13
Influences on nurses' management of pain in children.
19907
14 19766
15 19745
16 19815
17 19604
18 19793
19
Lipid clearance in juvenile diabetes mellitus and in glycogen storage disease.
19621

About Joan Slack

Joan Slack is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Cancer Research, having authored 19 papers that have together received 812 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Lipid metabolism and disorders (5 papers), Metabolism and Genetic Disorders (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Cancer, Lipids, and Metabolism (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (331 citations), Cancer Research (195 citations), Surgery (539 citations), Cardiology and Cardiovascular Medicine (218 citations) and Clinical Biochemistry (22 citations). Joan Slack has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Diana L. Patterson, G.L. Mills, N. B. Myant, John Seymour, Lawson McDonald, R J Sheppard, E H Grant, David Yi‐Yung Hsia, Brian F. G. Johnson and Justin T. LaBrooy. Their work appears in journals such as The Lancet, Clinica Chimica Acta, Pediatric Clinics of North America, New England Journal of Medicine and Annals of the New York Academy of Sciences.

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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