S Ericsson

1.1k citations
24 papers · 931 · h-index 14

Impact in

Papers in

    • Lipoproteins and Cardiovascular Health 7
    • Cholesterol and Lipid Metabolism 3
    • Drug Transport and Resistance Mechanisms 7

S Ericsson

23 papers receiving 881 citations

Peers

S Ericsson
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 261
  • Cancer Research 183
  • Surgery 399
  • Oncology 147
  • Aging 10
Replace Weiping Zhang with:
Weiping Zhang China
K Kozaki Japan
Richard Jaszewski United States
Pablo Quintero United States
Shoichi Katayama Japan
Alice Ossoli Italy
F. A. Wenger Germany
Ponnandai Somasundar United States
Armando J. Mendez United States
Hideto Ishii Japan
S Ericsson relative to Weiping Zhang China Weiping Zhang's profile →
Citations per field
00.5×1.5×2.2×
Weiping Zhang · 1×
Citations per year

Countries citing papers authored by S Ericsson

Since Specialization
Citations

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

Fields of papers citing papers by S Ericsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991139
2 1991135
3 1993126
4 1990119
5 198970
6 199361
7 200341
8 199135
9 199133
10 199131
11 199722
12 199518
13 199117
14 199717
15 199112
16 19939
17
Growth hormone and low-density lipoproteins.
19939
18 20098
19
Effects of growth hormone on low-density lipoprotein metabolism.
19928
20 19927

About S Ericsson

S Ericsson is a scholar working on Surgery, Oncology, Endocrinology, Diabetes and Metabolism, Cancer Research and Epidemiology, having authored 24 papers that have together received 931 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (7 papers), Lipoproteins and Cardiovascular Health (7 papers), Cancer, Lipids, and Metabolism (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Cholesterol and Lipid Metabolism (3 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (261 citations), Cancer Research (183 citations), Surgery (399 citations), Oncology (147 citations) and Aging (10 citations). S Ericsson has collaborated with scholars based in Sweden, United States and Italy. Frequent co-authors include Bo Angelin, Lars Berglund, Kurt Einarsson, Mats Eriksson, Sigurd Vitols, Mats Rudling, Gösta Eggertsen, B. Angelin, S Ewerth and H. Olivecrona. Their work appears in journals such as European Journal of Clinical Investigation, Journal of Internal Medicine, European Journal of Clinical Pharmacology, Caries Research and European Journal of Gastroenterology & Hepatology.

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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