Suzanne Lind

514 citations
10 papers · 337 · h-index 8

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 4
    • Lipoproteins and Cardiovascular Health 3
    • Coronary Interventions and Diagnostics 1
    • Acute Myocardial Infarction Research 4
    • Atrial Fibrillation Management and Outcomes 2

Suzanne Lind

10 papers receiving 328 citations

Peers

Suzanne Lind
Comparison fields: 5 of 60
  • Surgery 235
  • Cardiology and Cardiovascular Medicine 113
  • Endocrinology, Diabetes and Metabolism 65
  • Cancer Research 49
  • Radiology, Nuclear Medicine and Imaging 43
Replace Stephen Jones with:
Stephen Jones Australia
Rutger Verbeek Netherlands
John Blue United States
Martina F Mohrschladt Netherlands
Julius L. Katzmann Germany
Valérie Carreau France
Eric de Groot Netherlands
Dorota Taraszkiewicz France
Arjen J. Cupido Netherlands
Stamatios Lerakis United States
Suzanne Lind relative to Stephen Jones Australia Stephen Jones's profile →
Citations per field
00.5×11×
Stephen Jones · 1×
Citations per year

Countries citing papers authored by Suzanne Lind

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Lind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2010137
2 201552
3 200445
4 200338
5 200220
6 201116
7 201214
8 199812
9 20102
10 20111

About Suzanne Lind

Suzanne Lind is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Epidemiology, having authored 10 papers that have together received 337 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (4 papers), Acute Myocardial Infarction Research (4 papers), Lipoproteins and Cardiovascular Health (3 papers), Cardiac Imaging and Diagnostics (3 papers), Atrial Fibrillation Management and Outcomes (2 papers), Coronary Interventions and Diagnostics (1 paper), Cancer, Lipids, and Metabolism (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Surgery (235 citations), Cardiology and Cardiovascular Medicine (113 citations), Endocrinology, Diabetes and Metabolism (65 citations), Cancer Research (49 citations) and Radiology, Nuclear Medicine and Imaging (43 citations). Suzanne Lind has collaborated with scholars based in Sweden, United States and Norway. Frequent co-authors include Mats Eriksson, Mats Rudling, Bo Angelin, Gösta Eggertsen, Dina Melki, Tomas Jernberg, Robert J. Konrad, Håkan Wallén, Jason S. Troutt and Cecilia Gälman. Their work appears in journals such as Journal of the American College of Cardiology, Journal of Internal Medicine, Arteriosclerosis Thrombosis and Vascular Biology, Scandinavian Cardiovascular Journal and Clinica Chimica Acta.

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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