Brian Van Yserloo

961 total citations
21 papers, 705 citations indexed

About

Brian Van Yserloo is a scholar working on Surgery, Immunology and Epidemiology. According to data from OpenAlex, Brian Van Yserloo has authored 21 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Immunology and 5 papers in Epidemiology. Recurrent topics in Brian Van Yserloo's work include Immune Cell Function and Interaction (6 papers), Diabetes and associated disorders (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Brian Van Yserloo is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Diabetes and associated disorders (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Brian Van Yserloo collaborates with scholars based in United States, Netherlands and Sweden. Brian Van Yserloo's co-authors include Elizabeth A. Rutledge, Åke Lernmark, Jessica Fuller, Mario Kratz, Derek Hagman, Alfred A. Rimm, Anne E. Kwitek, Daniel H. Moralejo, Ruth A. Ettinger and Jessica N. Kuzma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Biochemical Journal.

In The Last Decade

Brian Van Yserloo

21 papers receiving 686 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Van Yserloo United States 13 218 179 175 166 159 21 705
S. Adi United States 10 140 0.6× 127 0.7× 116 0.7× 136 0.8× 112 0.7× 12 504
Gen Isshiki Japan 19 267 1.2× 79 0.4× 142 0.8× 164 1.0× 86 0.5× 70 858
Qiao Shi China 16 213 1.0× 255 1.4× 186 1.1× 140 0.8× 88 0.6× 53 950
Damien V. Cordery Australia 11 290 1.3× 307 1.7× 133 0.8× 109 0.7× 90 0.6× 21 709
J X Chen United States 5 172 0.8× 55 0.3× 173 1.0× 85 0.5× 186 1.2× 8 901
Sandra Imholz Netherlands 18 230 1.1× 84 0.5× 53 0.3× 162 1.0× 105 0.7× 35 683
Nikolaos Tountas Greece 14 414 1.9× 108 0.6× 131 0.7× 150 0.9× 127 0.8× 27 1.2k
Sandra A. Rebuffat France 15 173 0.8× 69 0.4× 88 0.5× 84 0.5× 93 0.6× 24 541
Brady Gaynor United States 10 112 0.5× 114 0.6× 74 0.4× 112 0.7× 96 0.6× 16 578
Charu Rajput United States 19 151 0.7× 148 0.8× 300 1.7× 48 0.3× 156 1.0× 29 710

Countries citing papers authored by Brian Van Yserloo

Since Specialization
Citations

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

Fields of papers citing papers by Brian Van Yserloo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Van Yserloo. 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 Brian Van Yserloo. The network helps show where Brian Van Yserloo may publish in the future.

Co-authorship network of co-authors of Brian Van Yserloo

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Van Yserloo. A scholar is included among the top collaborators of Brian Van Yserloo 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 Brian Van Yserloo. Brian Van Yserloo 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.
Hagman, Derek, Ilona Larson, Jessica N. Kuzma, et al.. (2017). The short-term and long-term effects of bariatric/metabolic surgery on subcutaneous adipose tissue inflammation in humans. Metabolism. 70. 12–22. 56 indexed citations
2.
Kratz, Mario, Derek Hagman, Jessica N. Kuzma, et al.. (2016). Improvements in glycemic control after gastric bypass occur despite persistent adipose tissue inflammation. Obesity. 24(7). 1438–1445. 40 indexed citations
3.
Neal, Adam, Austin M. Rountree, Kelly Kernan, et al.. (2016). Real-time imaging of intracellular hydrogen peroxide in pancreatic islets. Biochemical Journal. 473(23). 4443–4456. 12 indexed citations
4.
Shimizu‐Albergine, Masami, Brian Van Yserloo, Martin Golkowski, et al.. (2016). SCAP/SREBP pathway is required for the full steroidogenic response to cyclic AMP. Proceedings of the National Academy of Sciences. 113(38). E5685–93. 36 indexed citations
5.
Pamir, Nathalie, Elizabeth A. Kirk, Michelle M. Averill, et al.. (2014). Macrophage Metalloelastase (MMP12) Regulates Adipose Tissue Expansion, Insulin Sensitivity, and Expression of Inducible Nitric Oxide Synthase. Endocrinology. 155(9). 3409–3420. 50 indexed citations
6.
Kratz, Mario, Jessica N. Kuzma, Derek Hagman, et al.. (2013). n3 PUFAs Do Not Affect Adipose Tissue Inflammation in Overweight to Moderately Obese Men and Women1–3. Journal of Nutrition. 143(8). 1340–1347. 29 indexed citations
7.
Simon, Tamara D., Brian Van Yserloo, Kevin L. Nelson, et al.. (2013). Use of quantitative 16S rRNA PCR to determine bacterial load does not augment conventional cerebrospinal fluid (CSF) cultures among children undergoing treatment for CSF shunt infection. Diagnostic Microbiology and Infectious Disease. 78(2). 188–195. 22 indexed citations
8.
Moralejo, Daniel H., Jessica Fuller, Elizabeth A. Rutledge, et al.. (2011). BB rat Gimap gene expression in sorted lymphoid T and B cells. Life Sciences. 89(19-20). 748–754. 9 indexed citations
9.
Moralejo, Daniel H., Carl T. Hansen, Piper M. Treuting, et al.. (2009). Differential effects of leptin receptor mutation on male and female BBDR.Gimap5−/Gimap5− spontaneously diabetic rats. Physiological Genomics. 41(1). 9–20. 9 indexed citations
10.
Ko, Dennis C., Christine T. Fong, M. Brittnacher, et al.. (2009). A Genome-wide In Vitro Bacterial-Infection Screen Reveals Human Variation in the Host Response Associated with Inflammatory Disease. The American Journal of Human Genetics. 85(2). 214–227. 69 indexed citations
11.
Rutledge, Elizabeth A., Jessica Fuller, Brian Van Yserloo, et al.. (2009). Sequence Variation and Expression of theGimapGene Family in the BB Rat. Experimental Diabetes Research. 2009. 1–10. 10 indexed citations
12.
13.
Kratz, Mario, Jonathan Q. Purnell, Patricia A. Breen, et al.. (2007). Reduced Adipogenic Gene Expression in Thigh Adipose Tissue Precedes Human Immunodeficiency Virus-Associated Lipoatrophy. The Journal of Clinical Endocrinology & Metabolism. 93(3). 959–966. 12 indexed citations
14.
Suckow, Arthur T., Ian R. Sweet, Brian Van Yserloo, et al.. (2006). Identification and characterization of a novel isoform of the vesicular γ-aminobutyric acid transporter with glucose-regulated expression in rat islets. Journal of Molecular Endocrinology. 36(1). 187–199. 16 indexed citations
15.
16.
Bekris, Lynn M., Brian Van Yserloo, Elizabeth A. Rutledge, et al.. (2005). Glutathione-s-transferase M1 and T1 polymorphisms and associations with type 1 diabetes age-at-onset. Autoimmunity. 38(8). 567–575. 43 indexed citations
17.
18.
Michalkiewicz, Mieczyslaw, Teresa Michalkiewicz, Ruth A. Ettinger, et al.. (2004). Transgenic rescue demonstrates involvement of theIan5gene in T cell development in the rat. Physiological Genomics. 19(2). 228–232. 33 indexed citations
19.
MacMurray, Armand J., Daniel H. Moralejo, Anne E. Kwitek, et al.. (2002). Lymphopenia in the BB Rat Model of Type 1 Diabetes is Due to a Mutation in a Novel Immune-Associated Nucleotide (Ian)-Related Gene. Genome Research. 12(7). 1029–1039. 173 indexed citations
20.
Rimm, Alfred A., et al.. (1975). Relationship of ovesity and disease in 73,532 weight-conscious women.. PubMed. 90(1). 44–51. 54 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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