Ine M. J. Wolfs

756 total citations
8 papers, 528 citations indexed

About

Ine M. J. Wolfs is a scholar working on Immunology, Immunology and Allergy and Cancer Research. According to data from OpenAlex, Ine M. J. Wolfs has authored 8 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Immunology and Allergy and 4 papers in Cancer Research. Recurrent topics in Ine M. J. Wolfs's work include Cell Adhesion Molecules Research (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers) and Immune cells in cancer (3 papers). Ine M. J. Wolfs is often cited by papers focused on Cell Adhesion Molecules Research (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers) and Immune cells in cancer (3 papers). Ine M. J. Wolfs collaborates with scholars based in Netherlands, Germany and France. Ine M. J. Wolfs's co-authors include Marjo M. P. C. Donners, Menno P.J. de Winther, Marion J. Gijbels, Emiel P. C. van der Vorst, Chantal C. H. Pöttgens, J. Lauran Stöger, Stéphane Heymans, Blanche Schroen, Erik A.L. Biessen and Vincenza Caolo and has published in prestigious journals such as Circulation, PLoS ONE and Scientific Reports.

In The Last Decade

Ine M. J. Wolfs

8 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ine M. J. Wolfs Netherlands	8	249	238	177	104	69	8	528
Akanksha Mittal United States	7	436 1.8×	234 1.0×	185 1.0×	52 0.5×	25 0.4×	8	777
Els Louagie Belgium	6	201 0.8×	230 1.0×	133 0.8×	33 0.3×	17 0.2×	8	494
Abdelaziz En‐Nia Germany	13	126 0.5×	491 2.1×	107 0.6×	32 0.3×	40 0.6×	17	677
Massimo Statuto Italy	12	167 0.7×	284 1.2×	68 0.4×	26 0.3×	34 0.5×	17	549
Gabrielle Carvalho France	11	190 0.8×	206 0.9×	59 0.3×	35 0.3×	33 0.5×	13	511
Craig D. Milne Canada	10	238 1.0×	168 0.7×	62 0.4×	35 0.3×	37 0.5×	12	503
Gray Roberge United States	4	293 1.2×	182 0.8×	31 0.2×	49 0.5×	28 0.4×	5	484
Chien‐Hsiung Yu Australia	8	292 1.2×	362 1.5×	36 0.2×	50 0.5×	11 0.2×	9	580
D. Djokovic Portugal	15	101 0.4×	320 1.3×	82 0.5×	23 0.2×	23 0.3×	37	756
Tatiana Carneiro-Lobo United States	10	98 0.4×	198 0.8×	83 0.5×	18 0.2×	33 0.5×	14	519

Countries citing papers authored by Ine M. J. Wolfs

Since Specialization

Citations

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

Fields of papers citing papers by Ine M. J. Wolfs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ine M. J. Wolfs

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

All Works

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8 of 8 papers shown

Theodorou, Kosta, Emiel P. C. van der Vorst, Marion J. Gijbels, et al.. (2017). Whole body and hematopoietic ADAM8 deficiency does not influence advanced atherosclerotic lesion development, despite its association with human plaque progression. Scientific Reports. 7(1). 11670–11670. 14 indexed citations

Brufau, Gemma, Marion J. Gijbels, Ine M. J. Wolfs, et al.. (2016). Deleting myeloid IL-10 receptor signalling attenuates atherosclerosis in LDLR-/- mice by altering intestinal cholesterol fluxes. Thrombosis and Haemostasis. 116(9). 565–577. 17 indexed citations

Cougoule, Céline, Maik Drechsler, Beatriz Bermúdez, et al.. (2015). Hck/Fgr Kinase Deficiency Reduces Plaque Growth and Stability by Blunting Monocyte Recruitment and Intraplaque Motility. Circulation. 132(6). 490–501. 31 indexed citations

Vorst, Emiel P. C. van der, Mike L. J. Jeurissen, Ine M. J. Wolfs, et al.. (2015). Myeloid A Disintegrin and Metalloproteinase Domain 10 Deficiency Modulates Atherosclerotic Plaque Composition by Shifting the Balance from Inflammation toward Fibrosis. American Journal Of Pathology. 185(4). 1145–1155. 35 indexed citations

Wolfs, Ine M. J., J. Lauran Stöger, Pieter Goossens, et al.. (2013). Reprogramming macrophages to an anti‐inflammatory phenotype by helminth antigens reduces murine atherosclerosis. The FASEB Journal. 28(1). 288–299. 65 indexed citations

Donners, Marjo M. P. C., Ine M. J. Wolfs, J. Lauran Stöger, et al.. (2012). Hematopoietic miR155 Deficiency Enhances Atherosclerosis and Decreases Plaque Stability in Hyperlipidemic Mice. PLoS ONE. 7(4). e35877–e35877. 121 indexed citations

Wolfs, Ine M. J., Marjo M. P. C. Donners, & Menno P.J. de Winther. (2011). Differentiation factors and cytokines in the atherosclerotic plaque micro-environment as a trigger for macrophage polarisation. Thrombosis and Haemostasis. 106(11). 763–771. 156 indexed citations

Donners, Marjo M. P. C., Ine M. J. Wolfs, Servé Olieslagers, et al.. (2010). A Disintegrin and Metalloprotease 10 Is a Novel Mediator of Vascular Endothelial Growth Factor–Induced Endothelial Cell Function in Angiogenesis and Is Associated With Atherosclerosis. Arteriosclerosis Thrombosis and Vascular Biology. 30(11). 2188–2195. 89 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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