Jan Nilsson

21.6k total citations · 2 hit papers
385 papers, 15.0k citations indexed

About

Jan Nilsson is a scholar working on Immunology, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Jan Nilsson has authored 385 papers receiving a total of 15.0k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Immunology, 68 papers in Cardiology and Cardiovascular Medicine and 63 papers in Molecular Biology. Recurrent topics in Jan Nilsson's work include Atherosclerosis and Cardiovascular Diseases (140 papers), Adipokines, Inflammation, and Metabolic Diseases (45 papers) and Cell Adhesion Molecules Research (43 papers). Jan Nilsson is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (140 papers), Adipokines, Inflammation, and Metabolic Diseases (45 papers) and Cell Adhesion Molecules Research (43 papers). Jan Nilsson collaborates with scholars based in Sweden, United States and United Kingdom. Jan Nilsson's co-authors include Prediman K. Shah, Gunilla Nordin Fredrikson, Harry Björkbacka, Bojan Cercek, Eva Bengtsson, Juliana Yano, Isabel Gonçalves, Göran K. Hansson, Stefan Jovinge and Bo Hedblad and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Jan Nilsson

377 papers receiving 14.5k citations

Hit Papers

Pravastatin Treatment Increases Collagen Content and Decr... 2001 2026 2009 2017 2001 2021 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan Nilsson Sweden 61 5.6k 3.0k 2.7k 2.4k 2.0k 385 15.0k
Shinichi Sato Japan 80 8.2k 1.5× 4.3k 1.4× 2.0k 0.7× 4.8k 2.0× 2.1k 1.0× 782 25.0k
James M. Roberts United States 101 5.6k 1.0× 9.1k 3.0× 1.8k 0.7× 4.5k 1.9× 2.5k 1.2× 434 40.0k
Takashi Yokota Japan 70 6.5k 1.2× 6.8k 2.3× 1.7k 0.7× 940 0.4× 2.1k 1.0× 418 19.6k
Günter Weiß Austria 84 2.3k 0.4× 4.9k 1.6× 1.4k 0.5× 2.5k 1.0× 747 0.4× 419 23.5k
S.A. Miller United States 13 2.4k 0.4× 6.6k 2.2× 1.6k 0.6× 1.3k 0.5× 1.0k 0.5× 31 18.1k
Peter C. Heinrich Germany 75 9.6k 1.7× 9.4k 3.1× 1.9k 0.7× 3.4k 1.4× 868 0.4× 368 27.7k
Lisa J. Martin United States 59 1.1k 0.2× 2.0k 0.7× 2.5k 1.0× 2.1k 0.9× 1.5k 0.7× 354 13.9k
Jeffrey C. Barrett United Kingdom 32 2.7k 0.5× 6.2k 2.1× 2.0k 0.7× 1.7k 0.7× 635 0.3× 53 18.4k
Hiroshi Suzuki Japan 84 3.0k 0.5× 10.7k 3.6× 3.4k 1.3× 2.4k 1.0× 644 0.3× 533 25.8k
Toshio Hirano Japan 85 10.8k 1.9× 10.2k 3.4× 1.3k 0.5× 2.2k 0.9× 763 0.4× 220 29.3k

Countries citing papers authored by Jan Nilsson

Since Specialization
Citations

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

Fields of papers citing papers by Jan Nilsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Nilsson

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Nilsson. A scholar is included among the top collaborators of Jan Nilsson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Nilsson. Jan Nilsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Singh, Pratibha, Jiangming Sun, Michele Cavalera, et al.. (2024). Dysregulation of MMP2-dependent TGF-ß2 activation impairs fibrous cap formation in type 2 diabetes-associated atherosclerosis. Nature Communications. 15(1). 10464–10464. 4 indexed citations
2.
Tomas, Lukas, Wiaam Badn, Linda Andersson, et al.. (2023). Invariant natural killer T cells and incidence of first-time coronary events: a nested case-control study. European Heart Journal Open. 3(6). oead094–oead094. 1 indexed citations
3.
Nelson, Adam J., Renato D. Lópes, Hwanhee Hong, et al.. (2023). Cardiovascular Effects of GnRH Antagonists Compared With Agonists in Prostate Cancer. JACC CardioOncology. 5(5). 613–624. 18 indexed citations
4.
Papareddy, Praveen, Henrik Andersson, Ravi K. V. Bhongir, et al.. (2023). Therapeutic S100A8/A9 blockade inhibits myocardial and systemic inflammation and mitigates sepsis-induced myocardial dysfunction. Critical Care. 27(1). 374–374. 39 indexed citations
5.
Sun, Jiangming, Pratibha Singh, Annelie Shami, et al.. (2023). Spatial Transcriptional Mapping Reveals Site-Specific Pathways Underlying Human Atherosclerotic Plaque Rupture. Journal of the American College of Cardiology. 81(23). 2213–2227. 54 indexed citations
6.
Genovese, Federica, Isabel Gonçalves, Signe Holm Nielsen, et al.. (2023). Plasma levels of PRO-C3, a type III collagen synthesis marker, are associated with arterial stiffness and increased risk of cardiovascular death. Atherosclerosis. 388. 117420–117420. 3 indexed citations
7.
Khan, Faisel, Isabel Gonçalves, Angela C. Shore, et al.. (2022). Plaque characteristics and biomarkers predicting regression and progression of carotid atherosclerosis. Cell Reports Medicine. 3(7). 100676–100676. 12 indexed citations
8.
Varma, Vijayalakshmi, Dominic Sinibaldi, Emily L. Ongstad, et al.. (2022). Abstract 11971: Identification of Response Biomarkers and Signaling Pathways Associated With the LOX-1 Blockade by MEDI6570 in Type 2 Diabetes. Circulation. 146(Suppl_1). 2 indexed citations
9.
Aizawa, Kunihiko, Francesco Casanova, Phillip E. Gates, et al.. (2021). Reservoir-Excess Pressure Parameters Independently Predict Cardiovascular Events in Individuals With Type 2 Diabetes. Hypertension. 78(1). 40–50. 5 indexed citations
10.
Fabiani, Iacopo, Carlo Palombo, Davide Caramella, Jan Nilsson, & Raffaele De Caterina. (2020). Imaging of the vulnerable carotid plaque. Neurology. 94(21). 922–932. 37 indexed citations
12.
Bengtsson, Eva, Karin Hultman, Pontus Dunér, et al.. (2017). ADAMTS-7 is associated with a high-risk plaque phenotype in human atherosclerosis. Scientific Reports. 7(1). 3753–3753. 33 indexed citations
13.
Engelbertsen, Daniel, et al.. (2014). Induction of T helper 2 responses against human apolipoprotein B100 does not affect atherosclerosis in ApoE−/− mice. Cardiovascular Research. 103(2). 304–312. 18 indexed citations
14.
Sonestedt, Emily, Elisabet Wirfält, Peter Wallström, et al.. (2011). High disaccharide intake associates with atherogenic lipoprotein profile. British Journal Of Nutrition. 107(7). 1062–1069. 18 indexed citations
15.
Zhao, Ming, Maria Wigren, Pontus Dunér, et al.. (2010). FcγRIIB Inhibits the Development of Atherosclerosis in Low-Density Lipoprotein Receptor-Deficient Mice. The Journal of Immunology. 184(5). 2253–2260. 42 indexed citations
17.
Delobel, Alex, Guy Couturier, Francis Kahn, & Jan Nilsson. (1995). Trophic relationships between palms and bruchids (Coleoptera: Bruchidae: Pachymerini) in Peruvian Amazonia. MPG.PuRe (Max Planck Society). 13. 209–219. 26 indexed citations
18.
Zona, Scott, et al.. (1995). Bruchid beetles and palm seeds: recorded relationships.. 39(1). 25–35. 36 indexed citations
19.
Nilsson, Jan, Ljusk Ola Eriksson, Eva Brännäs, Anders Kiessling, & Anders Alanärä. (1994). Arctic charr farming in Sweden. Epsilon Open Archive (Sveriges lantbruksuniversitet biblioteket (Swedish University of Agricultural Sciences)). 3 indexed citations
20.
Nilsson, Jan. (1993). A taxonomic revision of the palm bruchids lPachymerinir and a description of the world genera of Pachymerinae. 41. 1–104. 25 indexed citations

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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