Adam C. Labonte

941 total citations
10 papers, 684 citations indexed

About

Adam C. Labonte is a scholar working on Immunology, Rheumatology and Molecular Biology. According to data from OpenAlex, Adam C. Labonte has authored 10 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Rheumatology and 2 papers in Molecular Biology. Recurrent topics in Adam C. Labonte's work include Systemic Lupus Erythematosus Research (6 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Phagocytosis and Immune Regulation (2 papers). Adam C. Labonte is often cited by papers focused on Systemic Lupus Erythematosus Research (6 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Phagocytosis and Immune Regulation (2 papers). Adam C. Labonte collaborates with scholars based in United States. Adam C. Labonte's co-authors include Young S. Hahn, Annie‐Carole Tosello‐Trampont, Amrie C. Grammer, Peter E. Lipsky, Michelle D. Catalina, Katherine A. Owen, Prathyusha Bachali, Robert Robl, Nicholas Geraci and Kathryn M. Kingsmore and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Hepatology.

In The Last Decade

Adam C. Labonte

10 papers receiving 653 citations

Peers

Adam C. Labonte

IMMUN

MB

RHEUM

ID

ONCOL

Vanina Lenief France

Audrey Beringer France

Ãgnes Gyetvai Hungary

Pam Hall Australia

Hisaji Oshima Japan

Juliana E. Toller-Kawahisa Brazil

Ingrid Boehm Australia

Cynthia Louis Australia

Samantha Smith United States

Vanina Lenief France

Adam C. Labonte

414 ×1.1

IMMUN

131 ×0.7

MB

198 ×1.0

RHEUM

41 ×0.4

ID

110 ×1.5

ONCOL

Citations per year, relative to Adam C. Labonte Adam C. Labonte (= 1×) peers Vanina Lenief

Countries citing papers authored by Adam C. Labonte

Since Specialization

Citations

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

Fields of papers citing papers by Adam C. Labonte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam C. Labonte. 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 Adam C. Labonte. The network helps show where Adam C. Labonte may publish in the future.

Co-authorship network of co-authors of Adam C. Labonte

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

All Works

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10 of 10 papers shown

1.

Bachali, Prathyusha, Katherine A. Owen, Kathryn M. Kingsmore, et al.. (2021). Comprehensive transcriptomic analysis of COVID-19 blood, lung, and airway. Scientific Reports. 11(1). 7052–7052. 95 indexed citations

2.

Ramos, Paula S., Prathyusha Bachali, Adam C. Labonte, et al.. (2021). Nucleic Acid-Sensing and Interferon-Inducible Pathways Show Differential Methylation in MZ Twins Discordant for Lupus and Overexpression in Independent Lupus Samples: Implications for Pathogenic Mechanism and Drug Targeting. Genes. 12(12). 1898–1898. 5 indexed citations

3.

Owen, Katherine A., Andrew Price, Hannah C. Ainsworth, et al.. (2020). Analysis of Trans-Ancestral SLE Risk Loci Identifies Unique Biologic Networks and Drug Targets in African and European Ancestries. The American Journal of Human Genetics. 107(5). 864–881. 25 indexed citations

4.

Catalina, Michelle D., Prathyusha Bachali, Nicholas Geraci, et al.. (2019). Machine learning approaches to predict lupus disease activity from gene expression data. Scientific Reports. 9(1). 9617–9617. 55 indexed citations

5.

Catalina, Michelle D., Katherine A. Owen, Adam C. Labonte, Amrie C. Grammer, & Peter E. Lipsky. (2019). The pathogenesis of systemic lupus erythematosus: Harnessing big data to understand the molecular basis of lupus. Journal of Autoimmunity. 110. 102359–102359. 115 indexed citations

6.

Labonte, Adam C., Nicholas Geraci, Prathyusha Bachali, et al.. (2018). Identification of alterations in macrophage activation associated with disease activity in systemic lupus erythematosus. PLoS ONE. 13(12). e0208132–e0208132. 81 indexed citations

7.

Labonte, Adam C., Prathyusha Bachali, Michelle D. Catalina, et al.. (2018). Identification of perturbations in macrophage polarization in active systemic lupus erythematosus.. The Journal of Immunology. 200(Supplement_1). 45.5–45.5. 3 indexed citations

8.

Labonte, Adam C., et al.. (2016). Expression of scavenger receptor‐AI promotes alternative activation of murine macrophages to limit hepatic inflammation and fibrosis. Hepatology. 65(1). 32–43. 29 indexed citations

9.

Labonte, Adam C., Annie‐Carole Tosello‐Trampont, & Young S. Hahn. (2014). The Role of Macrophage Polarization in Infectious and Inflammatory Diseases. Molecules and Cells. 37(4). 275–285. 274 indexed citations

10.

Quaye, Stephen John, et al.. (2008). Student Voice and Sensemaking of Multiculturalism on Campus. 2 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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