Kim M. Hansen

2.3k total citations · 1 hit paper
39 papers, 1.6k citations indexed

About

Kim M. Hansen is a scholar working on Molecular Biology, Immunology and Allergy and Physiology. According to data from OpenAlex, Kim M. Hansen has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Immunology and Allergy and 8 papers in Physiology. Recurrent topics in Kim M. Hansen's work include Cell Adhesion Molecules Research (9 papers), Regulation of Appetite and Obesity (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Kim M. Hansen is often cited by papers focused on Cell Adhesion Molecules Research (9 papers), Regulation of Appetite and Obesity (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Kim M. Hansen collaborates with scholars based in United States, Slovakia and Japan. Kim M. Hansen's co-authors include William A. Banks, Kristin M. Bullock, Theresa L. Whiteside, Nils Ludwig, Michelle A. Erickson, Priyanka Sharma, Christine K. Abrass, Elizabeth M. Rhea, Leszek M. Rzepecki and J. Herbert Waite and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Kim M. Hansen

39 papers receiving 1.6k citations

Hit Papers

Transport of Extracellular Vesicles across the Blood-Brai... 2020 2026 2022 2024 2020 100 200 300

Peers

Kim M. Hansen
Yi Fu China
Shannon Callen United States
Limin Wu China
Robert Surtees United Kingdom
Yi Fu China
Kim M. Hansen
Citations per year, relative to Kim M. Hansen Kim M. Hansen (= 1×) peers Yi Fu

Countries citing papers authored by Kim M. Hansen

Since Specialization
Citations

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

Fields of papers citing papers by Kim M. Hansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim M. Hansen. 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 Kim M. Hansen. The network helps show where Kim M. Hansen may publish in the future.

Co-authorship network of co-authors of Kim M. Hansen

This figure shows the co-authorship network connecting the top 25 collaborators of Kim M. Hansen. A scholar is included among the top collaborators of Kim M. Hansen 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 Kim M. Hansen. Kim M. Hansen 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.
Yang, Xin, Mengia S. Rioult-Pedotti, Kim M. Hansen, et al.. (2024). Peptidomimetic inhibitors targeting TrkB/PSD-95 signaling improves cognition and seizure outcomes in an Angelman Syndrome mouse model. Neuropsychopharmacology. 50(5). 772–782. 2 indexed citations
2.
Erickson, Michelle A., Aric F. Logsdon, Elizabeth M. Rhea, et al.. (2023). Blood-brain barrier penetration of non-replicating SARS-CoV-2 and S1 variants of concern induce neuroinflammation which is accentuated in a mouse model of Alzheimer’s disease. Brain Behavior and Immunity. 109. 251–268. 17 indexed citations
3.
Banks, William A., Kim M. Hansen, Michelle A. Erickson, & Fulton T. Crews. (2023). High-mobility group box 1 (HMGB1) crosses the BBB bidirectionally. Brain Behavior and Immunity. 111. 386–394. 15 indexed citations
4.
Rhea, Elizabeth M., P. C. Thomas, Mohamed Omer, et al.. (2023). Brain uptake pharmacokinetics of albiglutide, dulaglutide, tirzepatide, and DA5-CH in the search for new treatments of Alzheimer’s and Parkinson’s diseases. Tissue Barriers. 12(4). 2292461–2292461. 44 indexed citations
5.
Banerjee, Subhashis, S. P. Ghoshal, C. Giŗardet, et al.. (2021). Adropin correlates with aging-related neuropathology in humans and improves cognitive function in aging mice. SHILAP Revista de lepidopterología. 7(1). 23–23. 23 indexed citations
6.
Rhea, Elizabeth M., Aric F. Logsdon, Kim M. Hansen, et al.. (2020). The S1 protein of SARS-CoV-2 crosses the blood–brain barrier in mice. Nature Neuroscience. 24(3). 368–378. 281 indexed citations
7.
Szot, Patricia, Allyn Franklin, Dianne P. Figlewicz, et al.. (2017). Multiple lipopolysaccharide (LPS) injections alter interleukin 6 (IL-6), IL-7, IL-10 and IL-6 and IL-7 receptor mRNA in CNS and spleen. Neuroscience. 355. 9–21. 32 indexed citations
8.
Banks, William A., Susan A. Farr, Therese S. Salameh, et al.. (2017). Triglycerides cross the blood–brain barrier and induce central leptin and insulin receptor resistance. International Journal of Obesity. 42(3). 391–397. 157 indexed citations
9.
Banks, William A., Kenji Dohi, Kim M. Hansen, & Hilaire J. Thompson. (2015). Assessing blood granulocyte colony-stimulating factor as a potential biomarker of acute traumatic brain injury in mice and humans. Brain Behavior and Immunity. 52. 81–87. 13 indexed citations
10.
Banks, William A., Christine K. Abrass, & Kim M. Hansen. (2014). Differentiating the Influences of Aging and Adiposity on Brain Weights, Levels of Serum and Brain Cytokines, Gastrointestinal Hormones, and Amyloid Precursor Protein. The Journals of Gerontology Series A. 71(1). 21–29. 4 indexed citations
11.
Dohi, Kenji, Brian C. Kraemer, Michelle A. Erickson, et al.. (2014). Molecular Hydrogen in Drinking Water Protects against Neurodegenerative Changes Induced by Traumatic Brain Injury. PLoS ONE. 9(9). e108034–e108034. 49 indexed citations
12.
Abrass, Christine K. & Kim M. Hansen. (2010). Insulin-like Growth Factor-binding Protein-5-induced Laminin γ1 Transcription Requires Filamin A. Journal of Biological Chemistry. 285(17). 12925–12934. 15 indexed citations
13.
Abrass, Christine K., Kim M. Hansen, & Bruce L. Patton. (2009). Laminin α4-Null Mutant Mice Develop Chronic Kidney Disease with Persistent Overexpression of Platelet-Derived Growth Factor. American Journal Of Pathology. 176(2). 839–849. 26 indexed citations
14.
Hansen, Kim M., et al.. (2006). Rat glomerular mesangial cells require laminin-9 to migrate in response to insulin-like growth factor binding protein-5. American Journal of Physiology-Cell Physiology. 291(4). C589–C599. 12 indexed citations
15.
Abrass, C K, et al.. (2006). Abnormal development of glomerular endothelial and mesangial cells in mice with targeted disruption of the lama3 gene. Kidney International. 70(6). 1062–1071. 31 indexed citations
16.
Hansen, Kim M. & Christine K. Abrass. (2003). Laminin-8/9 is synthesized by rat glomerular mesangial cells and is required for PDGF-induced mesangial cell migration. Kidney International. 64(1). 110–118. 15 indexed citations
17.
Peutz‐Kootstra, Carine J., Kim M. Hansen, Emile de Heer, Christine K. Abrass, & Jan A. Bruijn. (2000). Differential expression of laminin chains and anti-laminin autoantibodies in experimental lupus nephritis. The Journal of Pathology. 192(3). 404–412. 19 indexed citations
18.
Hansen, Kim M. & C K Abrass. (1999). Role of Laminin Isoforms in Glomerular Structure. Pathobiology. 67(2). 84–91. 11 indexed citations
19.
Hansen, Kim M., et al.. (1998). Rat mesangial cells express two unique isoforms of laminin which modulate mesangial cell phenotype. Matrix Biology. 17(2). 117–130. 8 indexed citations
20.
Hansen, Kim M., et al.. (1991). Lipoprotein-cholesterol levels in infertile women with luteal phase deficiency. Fertility and Sterility. 55(5). 916–921. 4 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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