Ron Kooijman

3.8k total citations
74 papers, 3.0k citations indexed

About

Ron Kooijman is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Oncology. According to data from OpenAlex, Ron Kooijman has authored 74 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Endocrinology, Diabetes and Metabolism, 28 papers in Molecular Biology and 15 papers in Oncology. Recurrent topics in Ron Kooijman's work include Growth Hormone and Insulin-like Growth Factors (35 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers) and Immune Cell Function and Interaction (10 papers). Ron Kooijman is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (35 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers) and Immune Cell Function and Interaction (10 papers). Ron Kooijman collaborates with scholars based in Belgium, Netherlands and United States. Ron Kooijman's co-authors include Sarah Gerlo, Yvette Michotte, Sophie Sarre, Jacques De Keyser, B.J.M. Zegers, Keith W. Kelley, Elisabeth L. Hooghe‐Peters, S. C. van Buul-Offers, Tine Zgavc and Saı̈d Hachimi-Idrissi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

Ron Kooijman

73 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ron Kooijman Belgium 31 933 891 600 444 361 74 3.0k
Ioannis Charalampopoulos Greece 35 1.1k 1.2× 595 0.7× 303 0.5× 347 0.8× 454 1.3× 85 3.2k
Stephanie J. Murphy United States 31 656 0.7× 545 0.6× 434 0.7× 866 2.0× 626 1.7× 77 2.9k
Koji Koike Japan 28 1.2k 1.3× 614 0.7× 469 0.8× 128 0.3× 347 1.0× 121 3.3k
Carmen Clapp Mexico 38 1.5k 1.6× 1.3k 1.5× 311 0.5× 99 0.2× 412 1.1× 159 4.6k
Marcelo Páez-Pereda Germany 35 1.4k 1.5× 1.4k 1.6× 454 0.8× 96 0.2× 340 0.9× 85 3.8k
H Stępień Poland 28 802 0.9× 627 0.7× 404 0.7× 108 0.2× 147 0.4× 179 2.6k
Gonzalo Martı́nez de la Escalera Mexico 37 1.3k 1.4× 1.1k 1.2× 292 0.5× 80 0.2× 480 1.3× 152 4.2k
Julia C. Buckingham United Kingdom 39 1.9k 2.1× 603 0.7× 1.1k 1.9× 120 0.3× 223 0.6× 98 4.2k
J. Andrew Pospisilik Germany 34 2.1k 2.3× 1.4k 1.6× 745 1.2× 440 1.0× 687 1.9× 58 5.0k
Eduardo Arzt Argentina 45 1.9k 2.0× 2.0k 2.2× 1.2k 2.0× 216 0.5× 562 1.6× 168 5.9k

Countries citing papers authored by Ron Kooijman

Since Specialization
Citations

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

Fields of papers citing papers by Ron Kooijman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ron Kooijman

This figure shows the co-authorship network connecting the top 25 collaborators of Ron Kooijman. A scholar is included among the top collaborators of Ron Kooijman 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 Ron Kooijman. Ron Kooijman 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
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Jensen, Cathy, Ron Kooijman, Ann Massie, et al.. (2016). Astrocytic β2 Adrenergic Receptor Gene Deletion Affects Memory in Aged Mice. PLoS ONE. 11(10). e0164721–e0164721. 27 indexed citations
4.
Cambron, Melissa, et al.. (2013). Astrocyte loss and astrogliosis in neuroinflammatory disorders. Neuroscience Letters. 565. 39–41. 70 indexed citations
5.
Geyter, Deborah De, Tine Zgavc, Sophie Sarre, et al.. (2012). Spontaneously hypertensive rats display reduced microglial activation in response to ischemic stroke and lipopolysaccharide. Journal of Neuroinflammation. 9(1). 114–114. 21 indexed citations
6.
Himpe, Eddy, Saranyapin Potikanond, Peggy Verdood, & Ron Kooijman. (2011). Attenuation of IGF-I receptor signaling inhibits serum-induced proliferation of prostate cancer cells. Growth Hormone & IGF Research. 21(5). 252–259. 1 indexed citations
7.
Spooren, Anneleen, Ron Kooijman, Béatrice Lintermans, et al.. (2010). Cooperation of NFκB and CREB to induce synergistic IL-6 expression in astrocytes. Cellular Signalling. 22(5). 871–881. 60 indexed citations
8.
Ceulemans, An-Gaëlle, Tine Zgavc, Ron Kooijman, et al.. (2010). The dual role of the neuroinflammatory response after ischemic stroke: modulatory effects of hypothermia. Journal of Neuroinflammation. 7(1). 74–74. 278 indexed citations
9.
Laureys, Guy, Ralph Clinckers, Sarah Gerlo, et al.. (2010). Astrocytic β2-adrenergic receptors: From physiology to pathology. Progress in Neurobiology. 91(3). 189–199. 47 indexed citations
10.
Kooijman, Ron, et al.. (2007). Regulation of interleukin-8 expression in human prostate cancer cells by insulin-like growth factor-I and inflammatory cytokines. Growth Hormone & IGF Research. 17(5). 383–391. 15 indexed citations
11.
Kelley, Keith W., Douglas A. Weigent, & Ron Kooijman. (2007). Protein hormones and immunity. Brain Behavior and Immunity. 21(4). 384–392. 161 indexed citations
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Kooijman, Ron, et al.. (2006). Insulin-like growth factor-I augments interleukin-8 promoter activity through induction of activator protein-1 complex formation. The International Journal of Biochemistry & Cell Biology. 38(11). 1957–1964. 1 indexed citations
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Gerlo, Sarah, Peggy Verdood, & Ron Kooijman. (2005). Tumor necrosis factor-α activates the extrapituitary PRL promoter in myeloid leukemic cells. Journal of Neuroimmunology. 172(1-2). 206–210. 9 indexed citations
14.
Gerlo, Sarah, Peggy Verdood, Birgit Gellersen, Elisabeth L. Hooghe‐Peters, & Ron Kooijman. (2004). Mechanism of Prostaglandin (PG)E2-Induced Prolactin Expression in Human T Cells: Cooperation of Two PGE2 Receptor Subtypes, E-Prostanoid (EP) 3 and EP4, Via Calcium- and Cyclic Adenosine 5′-Monophosphate-Mediated Signaling Pathways. The Journal of Immunology. 173(10). 5952–5962. 41 indexed citations
15.
Gerlo, Sarah, et al.. (2003). Regulation of prolactin expression in leukemic cell lines and peripheral blood mononuclear cells. Journal of Neuroimmunology. 135(1-2). 107–116. 16 indexed citations
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Buul-Offers, S. C. van & Ron Kooijman. (1998). The role of growth hormone and insulin-like growth factors in the immune system. Cellular and Molecular Life Sciences. 54(10). 1083–1094. 60 indexed citations
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Kooijman, Ron, et al.. (1997). Human Neutrophils Express GH-N Gene Transcripts and the Pituitary Transcription Factor Pit-1b. Endocrinology. 138(10). 4481–4484. 26 indexed citations
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Kooijman, Ron, et al.. (1995). Differential expression of type I insulin‐like growth factor receptors in different stages of human T cells. European Journal of Immunology. 25(4). 931–935. 37 indexed citations
20.
Wit, Jan M., Ron Kooijman, Ger T. Rijkers, & B.J.M. Zegers. (1993). Immunological Findings in Growth Hormone-Treated Patients. Hormone Research. 39(3-4). 107–110. 43 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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