Monty B. Mazer

914 total citations
25 papers, 343 citations indexed

About

Monty B. Mazer is a scholar working on Immunology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Monty B. Mazer has authored 25 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 9 papers in Epidemiology and 6 papers in Infectious Diseases. Recurrent topics in Monty B. Mazer's work include Sepsis Diagnosis and Treatment (8 papers), Immune Response and Inflammation (6 papers) and COVID-19 Clinical Research Studies (5 papers). Monty B. Mazer is often cited by papers focused on Sepsis Diagnosis and Treatment (8 papers), Immune Response and Inflammation (6 papers) and COVID-19 Clinical Research Studies (5 papers). Monty B. Mazer collaborates with scholars based in United States, Canada and Germany. Monty B. Mazer's co-authors include Kenneth E. Remy, Richard S. Hotchkiss, Gurpreet Manku, Martine Culty, Yan Wang, Annie Boisvert, Raphaël Thuillier, Teresa Blood, Anne M. Drewry and Dale Osborne and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

Monty B. Mazer

25 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monty B. Mazer United States 12 105 96 84 54 45 25 343
Giambattista Lobreglio Italy 12 105 1.0× 94 1.0× 99 1.2× 23 0.4× 3 0.1× 32 370
S. M. Hamilton United States 12 23 0.2× 53 0.6× 103 1.2× 65 1.2× 35 0.8× 17 402
C E Visser Netherlands 8 87 0.8× 28 0.3× 45 0.5× 22 0.4× 12 0.3× 8 357
Yao-Ling Lee Taiwan 12 132 1.3× 94 1.0× 40 0.5× 110 2.0× 4 0.1× 20 522
Xingfei Pan China 12 69 0.7× 124 1.3× 105 1.3× 75 1.4× 3 0.1× 36 385
Samiran Mukherjee United States 9 78 0.7× 57 0.6× 87 1.0× 73 1.4× 2 0.0× 21 324
Jerko Barbić Croatia 11 112 1.1× 174 1.8× 49 0.6× 34 0.6× 4 0.1× 19 405
Francesca Taverna Italy 15 37 0.4× 133 1.4× 27 0.3× 81 1.5× 11 0.2× 28 486
Yizhen Chen China 9 64 0.6× 25 0.3× 41 0.5× 59 1.1× 4 0.1× 20 277
M Heredia Spain 11 120 1.1× 192 2.0× 26 0.3× 84 1.6× 9 0.2× 24 424

Countries citing papers authored by Monty B. Mazer

Since Specialization
Citations

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

Fields of papers citing papers by Monty B. Mazer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monty B. Mazer. 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 Monty B. Mazer. The network helps show where Monty B. Mazer may publish in the future.

Co-authorship network of co-authors of Monty B. Mazer

This figure shows the co-authorship network connecting the top 25 collaborators of Monty B. Mazer. A scholar is included among the top collaborators of Monty B. Mazer 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 Monty B. Mazer. Monty B. Mazer 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.
Walton, Andrew H., Monty B. Mazer, Kenneth E. Remy, et al.. (2025). Determining potential immunomodulatory drug efficacy in sepsis using ELISpot. Scientific Reports. 15(1). 13464–13464. 1 indexed citations
2.
Ungaro, Ricardo, Julie Xu, Tamara A. Kucaba, et al.. (2024). Development and optimization of a diluted whole blood ELISpot assay to test immune function. Journal of Immunological Methods. 533. 113743–113743. 2 indexed citations
3.
Unsinger, Jacqueline, Dale Osborne, Andrew H. Walton, et al.. (2024). TEMPORAL CHANGES IN INNATE AND ADAPTIVE IMMUNITY DURING SEPSIS AS DETERMINED BY ELISPOT. Shock. 62(2). 255–264. 1 indexed citations
4.
Ross, James T., et al.. (2024). Cell-Free Hemoglobin in the Pathophysiology of Trauma: A Scoping Review. Critical Care Explorations. 6(2). e1052–e1052. 6 indexed citations
5.
Mazer, Monty B., et al.. (2023). Cardiovascular effects of COVID-19 in children. Annals of the Academy of Medicine Singapore. 52(10). 533–541. 1 indexed citations
6.
Mazer, Monty B., et al.. (2023). Cardiovascular effects of COVID-19 in children. Annals of the Academy of Medicine Singapore. 52(10 - Correct DOI). 533–541. 1 indexed citations
7.
Girard, Thomas, Lilian Antunes, Nan Zhang, et al.. (2023). Peripheral blood mononuclear cell tissue factor (F3 gene) transcript levels and circulating extracellular vesicles are elevated in severe coronavirus 2019 (COVID-19) disease. Journal of Thrombosis and Haemostasis. 21(3). 629–638. 18 indexed citations
8.
Mazer, Monty B., Yasemin Bulut, Nina N. Brodsky, et al.. (2022). Multisystem Inflammatory Syndrome in Children: Host Immunologic Responses.. PubMed. 23(4). 315–320. 10 indexed citations
9.
Seth, Anushree, Ekansh Mittal, Jingyi Luan, et al.. (2022). High-resolution imaging of protein secretion at the single-cell level using plasmon-enhanced FluoroDOT assay. Cell Reports Methods. 2(8). 100267–100267. 10 indexed citations
10.
Shah, Neel, et al.. (2022). The use of machine learning and artificial intelligence within pediatric critical care. Pediatric Research. 93(2). 405–412. 27 indexed citations
11.
Mazer, Monty B., et al.. (2022). COVID-19 disease and immune dysregulation. Best Practice & Research Clinical Haematology. 35(3). 101401–101401. 44 indexed citations
12.
Turnbull, Isaiah R., Anja Fuchs, Kenneth E. Remy, et al.. (2022). Dysregulation of the leukocyte signaling landscape during acute COVID-19. PLoS ONE. 17(4). e0264979–e0264979. 4 indexed citations
13.
Mazer, Monty B., Isaiah R. Turnbull, Charles C. Caldwell, et al.. (2021). In Vitro–Administered Dexamethasone Suppresses T Cell Function With Reversal by Interleukin-7 in Coronavirus Disease 2019. Critical Care Explorations. 3(4). e0378–e0378. 5 indexed citations
14.
Loftus, Tyler J., Ricardo Ungaro, Marvin L. Dirain, et al.. (2021). Overlapping but Disparate Inflammatory and Immunosuppressive Responses to SARS-CoV-2 and Bacterial Sepsis: An Immunological Time Course Analysis. Frontiers in Immunology. 12. 792448–792448. 19 indexed citations
15.
Mazer, Monty B., Anne M. Drewry, Andrew H. Walton, et al.. (2019). IL-10 Has Differential Effects on the Innate and Adaptive Immune Systems of Septic Patients. The Journal of Immunology. 203(8). 2088–2099. 38 indexed citations
16.
Osborne, Dale, et al.. (2018). 1585: FREE HEME INHIBITS IFN-Γ AND TNF-Α PRODUCTION IN BOTH SEPTIC PATIENTS AND HEALTHY VOLUNTEERS. Critical Care Medicine. 47(1). 768–768. 1 indexed citations
17.
Manku, Gurpreet, Monty B. Mazer, & Martine Culty. (2011). Neonatal Testicular Gonocytes Isolation and Processing for Immunocytochemical Analysis. Methods in molecular biology. 825. 17–29. 13 indexed citations
18.
Thuillier, Raphaël, Monty B. Mazer, Gurpreet Manku, et al.. (2010). Interdependence of Platelet-Derived Growth Factor and Estrogen-Signaling Pathways in Inducing Neonatal Rat Testicular Gonocytes Proliferation1. Biology of Reproduction. 82(5). 825–836. 49 indexed citations
19.
Préfontaine, David, Pierre Fiset, Jella An, et al.. (2010). Children with atopic histories exhibit impaired lipopolysaccharide‐induced Toll‐like receptor‐4 signalling in peripheral monocytes. Clinical & Experimental Allergy. 40(11). 1648–1657. 20 indexed citations
20.
Bastien, Yolande, et al.. (2005). Platelet-Activating Factor Antagonists Decrease Follicular Dendritic-Cell Stimulation of Human B Lymphocytes. Allergy Asthma and Clinical Immunology. 1(2). 49–57. 1 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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