Karen E. Malone

573 total citations
17 papers, 416 citations indexed

About

Karen E. Malone is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Karen E. Malone has authored 17 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 8 papers in Molecular Biology and 3 papers in Infectious Diseases. Recurrent topics in Karen E. Malone's work include Immune Response and Inflammation (4 papers), interferon and immune responses (3 papers) and Inflammasome and immune disorders (3 papers). Karen E. Malone is often cited by papers focused on Immune Response and Inflammation (4 papers), interferon and immune responses (3 papers) and Inflammasome and immune disorders (3 papers). Karen E. Malone collaborates with scholars based in Netherlands, United States and France. Karen E. Malone's co-authors include Matthijs Moerland, Cornelis Kluft, Hendrika W. Grievink, Jacobus Burggraaf, Joannes A. A. Reijers, Erik S.G. Stroes, Eveline P. van Poelgeest, Rajeev Misra, Cornelia C. Bergmann and Matthew A. Humbard and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Bacteriology.

In The Last Decade

Karen E. Malone

16 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen E. Malone Netherlands 11 140 140 53 47 42 17 416
Francesca Graziano Italy 14 114 0.8× 158 1.1× 32 0.6× 39 0.8× 162 3.9× 25 551
Oya Türkoğlu Türkiye 15 213 1.5× 145 1.0× 38 0.7× 14 0.3× 30 0.7× 25 771
Felipe Flores‐Santibáñez Chile 9 100 0.7× 229 1.6× 26 0.5× 130 2.8× 55 1.3× 12 439
Ana Paula Teixeira Monteiro Brazil 12 161 1.1× 102 0.7× 13 0.2× 35 0.7× 43 1.0× 14 408
Hélène C. Descamps United States 8 267 1.9× 231 1.6× 24 0.5× 23 0.5× 39 0.9× 12 533
Karen Nahmod United States 14 221 1.6× 287 2.0× 28 0.5× 15 0.3× 49 1.2× 28 695
Tulasi Yadati Netherlands 7 195 1.4× 50 0.4× 52 1.0× 21 0.4× 106 2.5× 8 447
Diana L. Bonilla United States 11 205 1.5× 233 1.7× 22 0.4× 30 0.6× 212 5.0× 18 593
Mythili Dileepan United States 12 152 1.1× 76 0.5× 23 0.4× 56 1.2× 27 0.6× 19 444
Karin Önnheim Sweden 13 255 1.8× 303 2.2× 20 0.4× 18 0.4× 69 1.6× 19 530

Countries citing papers authored by Karen E. Malone

Since Specialization
Citations

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

Fields of papers citing papers by Karen E. Malone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen E. Malone. 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 Karen E. Malone. The network helps show where Karen E. Malone may publish in the future.

Co-authorship network of co-authors of Karen E. Malone

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

All Works

17 of 17 papers shown
1.
Malone, Karen E., et al.. (2025). Estimation of PEX1-mediated Zellweger spectrum disorder births and population prevalence by population genetics modeling. Genetics in Medicine Open. 3. 103431–103431.
2.
Malone, Karen E., et al.. (2024). Prevalence Estimates and Genetic Diversity for Autosomal Dominant Retinitis Pigmentosa Due to RHO, c.68C>A (p.P23H) Variant. American Journal of Ophthalmology. 268. 340–347. 1 indexed citations
3.
Smith, Tara, et al.. (2021). Genetic epidemiology approach to estimating birth incidence and current disease prevalence for rhizomelic chondrodysplasia punctata. Orphanet Journal of Rare Diseases. 16(1). 300–300. 7 indexed citations
4.
Grievink, Hendrika W., et al.. (2020). Antimicrobial Peptide Omiganan Enhances Interferon Responses to Endosomal Toll‐Like Receptor Ligands in Human Peripheral Blood Mononuclear Cells. Clinical and Translational Science. 13(5). 891–895. 5 indexed citations
5.
Tran, Thi Anh Thu, Hendrika W. Grievink, Cornelis Kluft, et al.. (2019). Whole blood assay as a model for in vitro evaluation of inflammasome activation and subsequent caspase-mediated interleukin-1 beta release. PLoS ONE. 14(4). e0214999–e0214999. 25 indexed citations
6.
Reijers, Joannes A. A., Karen E. Malone, Jeffrey J. Bajramović, et al.. (2019). Adverse immunostimulation caused by impurities: The dark side of biopharmaceuticals. British Journal of Clinical Pharmacology. 85(7). 1418–1426. 17 indexed citations
7.
Poelgeest, Eveline P. van, Marieke de Kam, Karen E. Malone, et al.. (2017). Characterization of immune cell, endothelial, and renal responses upon experimental human endotoxemia. Journal of Pharmacological and Toxicological Methods. 89. 39–46. 17 indexed citations
8.
Reijers, Joannes A. A., David Kallend, Karen E. Malone, et al.. (2017). MDCO-216 Does Not Induce Adverse Immunostimulation, in Contrast to Its Predecessor ETC-216. Cardiovascular Drugs and Therapy. 31(4). 381–389. 41 indexed citations
9.
Grievink, Hendrika W., et al.. (2016). Comparison of Three Isolation Techniques for Human Peripheral Blood Mononuclear Cells: Cell Recovery and Viability, Population Composition, and Cell Functionality. Biopreservation and Biobanking. 14(5). 410–415. 105 indexed citations
10.
Reijers, Joannes A. A., et al.. (2016). Clinical Evaluation of Humira® Biosimilar ONS-3010 in Healthy Volunteers: Focus on Pharmacokinetics and Pharmacodynamics. Frontiers in Immunology. 7. 508–508. 9 indexed citations
11.
Sirota, Marina, Gonneke Willemsen, Purnima Sundar, et al.. (2015). Effect of Genome and Environment on Metabolic and Inflammatory Profiles. PLoS ONE. 10(4). e0120898–e0120898. 13 indexed citations
12.
Malone, Karen E., et al.. (2014). Applying caspase-1 inhibitors for inflammasome assays in human whole blood. Journal of Immunological Methods. 411. 66–69. 17 indexed citations
13.
Poelgeest, Eveline P. van, Karen E. Malone, E. Marleen Kemper, et al.. (2014). Characterization of inflammation and immune cell modulation induced by low-dose LPS administration to healthy volunteers. Journal of Inflammation. 11(1). 40 indexed citations
14.
Malone, Karen E., Stephen A. Stohlman, Chandran Ramakrishna, Wendy B. Macklin, & Cornelia C. Bergmann. (2008). Induction of class I antigen processing components in oligodendroglia and microglia during viral encephalomyelitis. Glia. 56(4). 426–435. 31 indexed citations
15.
Masi, Muriel, et al.. (2007). Initial Steps of Colicin E1 Import across the Outer Membrane of Escherichia coli. Journal of Bacteriology. 189(7). 2667–2676. 33 indexed citations
16.
Malone, Karen E., et al.. (2006). Glia Expression of MHC During CNS Infection by Neurotropic Coronavirus. Advances in experimental medicine and biology. 581. 543–546. 3 indexed citations
17.
Kawamura, Hiroki, Fred Aswad, Masahiro Minagawa, et al.. (2005). P2X7 Receptor-Dependent and -Independent T Cell Death Is Induced by Nicotinamide Adenine Dinucleotide. The Journal of Immunology. 174(4). 1971–1979. 52 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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