Mitchell Bijnen

864 total citations
18 papers, 604 citations indexed

About

Mitchell Bijnen is a scholar working on Epidemiology, Immunology and Cancer Research. According to data from OpenAlex, Mitchell Bijnen has authored 18 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 10 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Mitchell Bijnen's work include Adipokines, Inflammation, and Metabolic Diseases (9 papers), Immune cells in cancer (6 papers) and Immune Cell Function and Interaction (6 papers). Mitchell Bijnen is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (9 papers), Immune cells in cancer (6 papers) and Immune Cell Function and Interaction (6 papers). Mitchell Bijnen collaborates with scholars based in Netherlands, Belgium and United States. Mitchell Bijnen's co-authors include Kristiaan Wouters, Casper G. Schalkwijk, Coen D.A. Stehouwer, Suzan Wetzels, Ellen E. Blaak, Kenneth Verboven, Dominique Hansen, Katrien H.J. Gaens, Johan W. E. Jocken and Erwin Wijnands and has published in prestigious journals such as The Journal of Experimental Medicine, Immunity and Gut.

In The Last Decade

Mitchell Bijnen

16 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mitchell Bijnen Netherlands	9	286	184	169	136	112	18	604
P. Parini Sweden	9	315 1.1×	202 1.1×	236 1.4×	98 0.7×	130 1.2×	14	816
Ori Nov Israel	8	272 1.0×	150 0.8×	219 1.3×	66 0.5×	81 0.7×	10	486
Ángela Vinué Spain	14	157 0.5×	242 1.3×	97 0.6×	66 0.5×	179 1.6×	24	650
Nadia Vazirpanah Netherlands	9	182 0.6×	165 0.9×	290 1.7×	120 0.9×	143 1.3×	11	634
Marina Nati Germany	7	255 0.9×	110 0.6×	132 0.8×	47 0.3×	87 0.8×	8	417
Yuri Shimoda Japan	7	218 0.8×	386 2.1×	184 1.1×	53 0.4×	164 1.5×	10	708
Zhaohua Cai China	14	107 0.4×	180 1.0×	65 0.4×	90 0.7×	104 0.9×	31	463
Ilona Cuijpers Netherlands	8	130 0.5×	146 0.8×	65 0.4×	299 2.2×	62 0.6×	11	556
Jeu Park South Korea	12	238 0.8×	159 0.9×	257 1.5×	71 0.5×	122 1.1×	16	511
Ammar Kurdi Belgium	9	300 1.0×	301 1.6×	63 0.4×	66 0.5×	134 1.2×	10	649

Countries citing papers authored by Mitchell Bijnen

Since Specialization

Citations

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

Fields of papers citing papers by Mitchell Bijnen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitchell Bijnen

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

All Works

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18 of 18 papers shown

1.

Sparano, Colin, Lukas Rindlisbacher, Hannah Van Hove, et al.. (2024). Autocrine TGF-β1 drives tissue-specific differentiation and function of resident NK cells. The Journal of Experimental Medicine. 222(3). 6 indexed citations

2.

Bijnen, Mitchell, et al.. (2024). Brain macrophages in vascular health and dysfunction. Trends in Immunology. 46(1). 46–60.

3.

Thierry, Guilhem R., Mitchell Bijnen, Alicia Bellomo, et al.. (2024). Non-classical monocytes scavenge the growth factor CSF1 from endothelial cells in the peripheral vascular tree to ensure survival and homeostasis. Immunity. 57(9). 2108–2121.e6. 8 indexed citations

4.

Bijnen, Mitchell & Marc Bajénoff. (2021). Gland Macrophages: Reciprocal Control and Function within Their Niche. Trends in Immunology. 42(2). 120–136. 10 indexed citations

5.

Wetzels, Suzan, Mitchell Bijnen, Erwin Wijnands, et al.. (2020). CD11c−MHC2low Macrophages Are a New Inflammatory and Dynamic Subset in Murine Adipose Tissue. PubMed. 2(2). e200015–e200015. 3 indexed citations

6.

Simons, Nynke, Mitchell Bijnen, Kristiaan Wouters, et al.. (2020). The endothelial function biomarker soluble E‐selectin is associated with nonalcoholic fatty liver disease. Liver International. 40(5). 1079–1088. 27 indexed citations

7.

Bruijn, Joost D. de, Kim van Kuijk, Mitchell Bijnen, et al.. (2019). Partial Inhibition Of The Key Glycolytic Enzyme Pfkfb3 In Myeloid Cells Impacts Whole-Body Immune Cell And Liver Metabolism, But Not Atherogenesis.. Atherosclerosis. 287. e19–e20. 1 indexed citations

8.

Bijnen, Mitchell, Marleen M. J. van Greevenbroek, Carla Kallen, et al.. (2019). Hepatic Fat Content and Liver Enzymes Are Associated with Circulating Free and Protein-Bound Advanced Glycation End Products, Which Are Associated with Low-Grade Inflammation: The CODAM Study. Journal of Diabetes Research. 2019. 1–10. 11 indexed citations

9.

Verboven, Kenneth, Kristiaan Wouters, Katrien H.J. Gaens, et al.. (2018). Abdominal subcutaneous and visceral adipocyte size, lipolysis and inflammation relate to insulin resistance in male obese humans. Scientific Reports. 8(1). 4677–4677. 180 indexed citations

10.

Wetzels, Suzan, Mitchell Bijnen, Erwin Wijnands, et al.. (2018). Characterization of Immune Cells in Human Adipose Tissue by Using Flow Cytometry. Journal of Visualized Experiments. 6 indexed citations

11.

Bijnen, Mitchell, Suzan Wetzels, Erwin Wijnands, et al.. (2018). RAGE deficiency does not affect non-alcoholic steatohepatitis and atherosclerosis in Western type diet-fed Ldlr−/− mice. Scientific Reports. 8(1). 15256–15256. 21 indexed citations

12.

Bijnen, Mitchell, et al.. (2018). Adipose tissue macrophages do not affect atherosclerosis development in mice. Atherosclerosis. 281. 31–37. 6 indexed citations

13.

Wetzels, Suzan, Mitchell Bijnen, Erwin Wijnands, et al.. (2018). Characterization of Immune Cells in Human Adipose Tissue by Using Flow Cytometry. Journal of Visualized Experiments. 1 indexed citations

14.

Bijnen, Mitchell, Tatjana Josefs, Ilona Cuijpers, et al.. (2017). Adipose tissue macrophages induce hepatic neutrophil recruitment and macrophage accumulation in mice. Gut. 67(7). 1317–1327. 104 indexed citations

15.

Bijnen, Mitchell, Tatjana Josefs, Ilona Cuijpers, et al.. (2017). Adipose tissue macrophages induce hepatic neutrophil recruitment and macrophage accumulation in mice. Journal of Hepatology. 66(1). S600–S600. 18 indexed citations

16.

Wouters, Kristiaan, Katrien H.J. Gaens, Mitchell Bijnen, et al.. (2017). Circulating classical monocytes are associated with CD11c+ macrophages in human visceral adipose tissue. Scientific Reports. 7(1). 42665–42665. 69 indexed citations

17.

Verjans, Robin, T. J. Peters, Javier Beaumont, et al.. (2017). MicroRNA-221/222 Family Counteracts Myocardial Fibrosis in Pressure Overload–Induced Heart Failure. Hypertension. 71(2). 280–288. 133 indexed citations

18.

Peters, T. J., Mitchell Bijnen, Rick van Leeuwen, et al.. (2014). P69The microRNA-221/222 family is differentially regulated in cardiac disease and counteracts pressure overload-induced cardiac remodeling in mice. Cardiovascular Research. 103(suppl 1). S11.3–S11.

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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