Jaap G. Neels

5.1k total citations · 2 hit papers
44 papers, 3.7k citations indexed

About

Jaap G. Neels is a scholar working on Epidemiology, Physiology and Immunology. According to data from OpenAlex, Jaap G. Neels has authored 44 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 15 papers in Physiology and 14 papers in Immunology. Recurrent topics in Jaap G. Neels's work include Adipokines, Inflammation, and Metabolic Diseases (15 papers), Adipose Tissue and Metabolism (14 papers) and Blood Coagulation and Thrombosis Mechanisms (9 papers). Jaap G. Neels is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (15 papers), Adipose Tissue and Metabolism (14 papers) and Blood Coagulation and Thrombosis Mechanisms (9 papers). Jaap G. Neels collaborates with scholars based in France, United States and Netherlands. Jaap G. Neels's co-authors include Jerrold M. Olefsky, Pingping Li, David Patsouris, Justin Chapman, David J. Loskutoff, Matthew Nguyen, Alan Jenn, Peter Scott, Donna Reichart and Svetlana Favelyukis and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Physiological Reviews.

In The Last Decade

Jaap G. Neels

42 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Subpopulation of Macrophages Infiltrates Hypertrophic Adipose Tissue and Is Activated by Free Fatty Acids via Toll-like Receptors 2 and 4 and JNK-dependent Pathways

2007 815 citations Matthew Nguyen, Svetlana Favelyukis et al. Journal of Biological Chemistry profile →
Ablation of CD11c-Positive Cells Normalizes Insulin Sensitivity in Obese Insulin Resistant Animals

2008 674 citations Justin Chapman, Jerrold M. Olefsky et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jaap G. Neels France	24	1.7k	1.3k	1.1k	1.0k	426	44	3.7k
David S. Milstone United States	21	864 0.5×	1.2k 0.9×	2.6k 2.3×	882 0.9×	475 1.1×	38	4.5k
Fahumiya Samad United States	25	1.3k 0.8×	864 0.6×	1.1k 0.9×	260 0.3×	474 1.1×	49	3.1k
Joachim Fruebis United States	17	1.7k 1.0×	1.4k 1.1×	685 0.6×	460 0.5×	90 0.2×	24	3.2k
Reid Huber United States	19	1.0k 0.6×	671 0.5×	1.5k 1.4×	537 0.5×	243 0.6×	50	3.5k
Markus Neumeier Germany	33	2.1k 1.2×	1.0k 0.8×	853 0.8×	711 0.7×	190 0.4×	61	3.3k
Sarah Slaymaker United States	7	1.2k 0.7×	743 0.6×	993 0.9×	1.5k 1.5×	125 0.3×	7	3.4k
Tamar Pirtskhalava United States	21	1.3k 0.8×	3.7k 2.8×	2.1k 1.8×	1.1k 1.1×	516 1.2×	27	5.9k
Geoff H. Werstuck Canada	33	1.0k 0.6×	500 0.4×	1.3k 1.1×	571 0.6×	221 0.5×	81	3.9k
Prabhakara R. Nagareddy United States	31	616 0.4×	492 0.4×	1.2k 1.0×	1.1k 1.1×	256 0.6×	68	3.1k
Aijuan Qu China	32	662 0.4×	612 0.5×	1.3k 1.2×	270 0.3×	596 1.4×	66	2.9k

Countries citing papers authored by Jaap G. Neels

Since Specialization

Citations

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

Fields of papers citing papers by Jaap G. Neels

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaap G. Neels. 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 Jaap G. Neels. The network helps show where Jaap G. Neels may publish in the future.

Co-authorship network of co-authors of Jaap G. Neels

This figure shows the co-authorship network connecting the top 25 collaborators of Jaap G. Neels. A scholar is included among the top collaborators of Jaap G. Neels 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 Jaap G. Neels. Jaap G. Neels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Patterson, Michael T., Maria Firulyova, Yingzheng Xu, et al.. (2023). Trem2 promotes foamy macrophage lipid uptake and survival in atherosclerosis. Nature Cardiovascular Research. 2(11). 1015–1031. 73 indexed citations

2.

Neels, Jaap G., Georges Lefthériotis, & Giulia Chinetti. (2023). Atherosclerosis Calcification: Focus on Lipoproteins. Metabolites. 13(3). 457–457. 14 indexed citations

3.

Neels, Jaap G., et al.. (2023). Macrophage death in atherosclerosis: potential role in calcification. Frontiers in Immunology. 14. 1215612–1215612. 27 indexed citations

4.

Chinetti, Giulia, Joseph Murdaca, Claudine Moratal, et al.. (2022). Diabetes-Induced Changes in Macrophage Biology Might Lead to Reduced Risk for Abdominal Aortic Aneurysm Development. Metabolites. 12(2). 128–128. 5 indexed citations

5.

Chinetti, Giulia & Jaap G. Neels. (2021). Roles of Nuclear Receptors in Vascular Calcification. International Journal of Molecular Sciences. 22(12). 6491–6491. 5 indexed citations

6.

Sibille, Brigitte, Isabelle Mothe‐Satney, Joseph Murdaca, et al.. (2021). Gene Doping with Peroxisome-Proliferator-Activated Receptor Beta/Delta Agonists Alters Immunity but Exercise Training Mitigates the Detection of Effects in Blood Samples. International Journal of Molecular Sciences. 22(21). 11497–11497.

7.

Mothe‐Satney, Isabelle, Joseph Murdaca, Brigitte Sibille, et al.. (2016). Peroxisome Proliferator Activated Receptor Beta (PPARβ) activity increases the immune response and shortens the early phases of skeletal muscle regeneration. Biochimie. 136. 33–41. 7 indexed citations

8.

Mothe‐Satney, Isabelle, Chantal Filloux, Catherine Pons, et al.. (2012). Adipocytes Secrete Leukotrienes. Diabetes. 61(9). 2311–2319. 86 indexed citations

9.

Chapman, Justin, Philip D.G. Miles, Jachelle M. Ofrecio, et al.. (2010). Osteopontin Is Required for the Early Onset of High Fat Diet-Induced Insulin Resistance in Mice. PLoS ONE. 5(11). e13959–e13959. 71 indexed citations

10.

Kamikubo, Yuichi, Jaap G. Neels, & Bernard Degryse. (2008). Vitronectin inhibits plasminogen activator inhibitor-1-induced signalling and chemotaxis by blocking plasminogen activator inhibitor-1 binding to the low-density lipoprotein receptor-related protein. The International Journal of Biochemistry & Cell Biology. 41(3). 578–585. 30 indexed citations

11.

Féral, Chloé C., Jaap G. Neels, Christiane Kummer, et al.. (2008). Blockade of α4 Integrin Signaling Ameliorates the Metabolic Consequences of High-Fat Diet–Induced Obesity. Diabetes. 57(7). 1842–1851. 32 indexed citations

12.

Nguyen, Matthew, Svetlana Favelyukis, Donna Reichart, et al.. (2007). A Subpopulation of Macrophages Infiltrates Hypertrophic Adipose Tissue and Is Activated by Free Fatty Acids via Toll-like Receptors 2 and 4 and JNK-dependent Pathways. Journal of Biological Chemistry. 282(48). 35279–35292. 815 indexed citations breakdown →

13.

Solinas, Giovanni, Jaap G. Neels, Gautam Bandyopadhyay, et al.. (2007). JNK1 in Hematopoietically Derived Cells Contributes to Diet-Induced Inflammation and Insulin Resistance without Affecting Obesity. Cell Metabolism. 6(5). 386–397. 417 indexed citations

14.

Neels, Jaap G., Manjula Pandey, Gökhan S. Hotamışlıgil, & Fahumiya Samad. (2006). Autoamplification of Tumor Necrosis Factor-α. American Journal Of Pathology. 168(2). 435–444. 24 indexed citations

15.

Degryse, Bernard, Jaap G. Neels, Ralf‐Peter Czekay, et al.. (2004). The Low Density Lipoprotein Receptor-related Protein Is a Motogenic Receptor for Plasminogen Activator Inhibitor-1. Journal of Biological Chemistry. 279(21). 22595–22604. 168 indexed citations

16.

Neels, Jaap G., Birgit M.M. van den Berg, Koen Mertens, et al.. (2000). Activation of factor IX zymogen results in exposure of a binding site for low-density lipoprotein receptor–related protein. Blood. 96(10). 3459–3465. 51 indexed citations

17.

Neels, Jaap G., Birgit M.M. van den Berg, Koen Mertens, et al.. (2000). Activation of factor IX zymogen results in exposure of a binding site for low-density lipoprotein receptor–related protein. Blood. 96(10). 3459–3465. 3 indexed citations

18.

Lenting, Peter J., Jaap G. Neels, Birgit M.M. van den Berg, et al.. (1999). The Light Chain of Factor VIII Comprises a Binding Site for Low Density Lipoprotein Receptor-related Protein. Journal of Biological Chemistry. 274(34). 23734–23739. 170 indexed citations

19.

Neels, Jaap G., Birgit M.M. van den Berg, Aivar Lõokene, et al.. (1999). The Second and Fourth Cluster of Class A Cysteine-rich Repeats of the Low Density Lipoprotein Receptor-related Protein Share Ligand-binding Properties. Journal of Biological Chemistry. 274(44). 31305–31311. 132 indexed citations

20.

Neels, Jaap G., Ivo R. Horn, Birgit M.M. van den Berg, Hans Pannekoek, & Anton Jan van Zonneveld. (1998). Ligand-receptor interactions of the low density lipoprotein receptor-related protein, a multi-ligand endocytic receptor. Fibrinolysis & proteolysis. 12(4). 219–240. 41 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.

Explore authors with similar magnitude of impact