J. Nilsson

21 papers receiving 777 citations

Peers

J. Nilsson
Comparison fields: 5 of 103
  • Neurology 102
  • Immunology 145
  • Biochemistry 47
  • Oncology 157
  • Endocrinology, Diabetes and Metabolism 85
Replace Sylvie G. Bernier with:
Sylvie G. Bernier United States
Yannick Schreiber Germany
Robert Murray United Kingdom
Roman Korolkiewicz Poland
Lisa D. Laury‐Kleintop United States
Christiane Quiniou Canada
Yanling Yang China
M. Raiteri Italy
John B. Cheng United States
Tom J. Parry United States
J. Nilsson relative to Sylvie G. Bernier United States Sylvie G. Bernier's profile →
Citations per field
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Sylvie G. Bernier · 1×
Citations per year

Countries citing papers authored by J. Nilsson

Since Specialization
Citations

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

Fields of papers citing papers by J. Nilsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Nilsson, 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 J. Nilsson Line = papers co-authored together J. Nilsson 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 2004294
2 199791
3 199173
4 196952
5 201550
6 199533
7 200930
8 201129
9 200924
10 201923
11 198622
12
Role of caveolae in cholesterol transport in arterial smooth muscle cells exposed to lipoproteins in vitro and in vivo.
199820
13 201518
14 199413
15 199910
16 198510
17 20148
18 19842
19 19832
20 19991

About J. Nilsson

J. Nilsson is a scholar working on Internal Medicine, Clinical Biochemistry, Emergency Medical Services, Immunology and Genetics, having authored 22 papers that have together received 806 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (5 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Lipoproteins and Cardiovascular Health (3 papers), T-cell and B-cell Immunology (2 papers), Cholesterol and Lipid Metabolism (2 papers), Cardiovascular Effects of Exercise (2 papers), Central Venous Catheters and Hemodialysis (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Neurology (102 citations), Immunology (145 citations), Biochemistry (47 citations), Oncology (157 citations) and Endocrinology, Diabetes and Metabolism (85 citations). J. Nilsson has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Aloı̈se Mabondzo, Johanna Öberg, Danica Stanimirovic, Marguerite Ball, Thomas Österberg, Thomas J. Raub, Tuulikki Lindmark, Roger D. Hurst, Per Garberg and Laurence Fénart. Their work appears in journals such as Journal of Internal Medicine, Scandinavian Journal of Clinical and Laboratory Investigation, European Journal of Nuclear Medicine and Molecular Imaging, Gene and Journal of 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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