Joshua Keegan

1.4k total citations
21 papers, 511 citations indexed

About

Joshua Keegan is a scholar working on Immunology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Joshua Keegan has authored 21 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 6 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Joshua Keegan's work include Immune cells in cancer (8 papers), Neonatal Respiratory Health Research (5 papers) and T-cell and B-cell Immunology (5 papers). Joshua Keegan is often cited by papers focused on Immune cells in cancer (8 papers), Neonatal Respiratory Health Research (5 papers) and T-cell and B-cell Immunology (5 papers). Joshua Keegan collaborates with scholars based in United States, Germany and China. Joshua Keegan's co-authors include James A. Lederer, Joyce Bischoff, Elena Aïkawa, Joshua D. Hutcheson, Kayle Shapero, Jolanda Kluin, Jesper Hjortnaes, Claudia Goettsch, John E. Mayer and Wenya Linda Bi and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Circulation Research.

In The Last Decade

Joshua Keegan

21 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua Keegan United States 10 168 162 143 107 82 21 511
Janie J. Yang United States 5 212 1.3× 126 0.8× 114 0.8× 80 0.7× 60 0.7× 9 641
Olivia van Oostrom Netherlands 8 161 1.0× 160 1.0× 54 0.4× 73 0.7× 81 1.0× 8 414
Ragnhild Helseth Norway 13 203 1.2× 125 0.8× 84 0.6× 110 1.0× 106 1.3× 36 558
Alexandre C. Zago Brazil 8 211 1.3× 188 1.2× 155 1.1× 77 0.7× 69 0.8× 12 591
Katharina M. Katsaros Austria 14 309 1.8× 142 0.9× 133 0.9× 54 0.5× 87 1.1× 18 626
Virtudes Vila Spain 13 65 0.4× 167 1.0× 103 0.7× 110 1.0× 79 1.0× 32 491
Audrey Cleuren United States 10 125 0.7× 149 0.9× 57 0.4× 40 0.4× 66 0.8× 30 545
Sara Sjöberg Sweden 11 201 1.2× 121 0.7× 47 0.3× 98 0.9× 59 0.7× 15 501
Maria Rossikhina United States 7 253 1.5× 161 1.0× 165 1.2× 65 0.6× 64 0.8× 7 791
Maria Köllnberger United States 3 467 2.8× 218 1.3× 83 0.6× 92 0.9× 41 0.5× 3 904

Countries citing papers authored by Joshua Keegan

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Keegan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Keegan

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Keegan. A scholar is included among the top collaborators of Joshua Keegan 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 Joshua Keegan. Joshua Keegan 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.
Keegan, Joshua, et al.. (2023). Alternative lengthening of telomeres: mechanism and the pathogenesis of cancer. Journal of Clinical Pathology. 77(2). 82–86. 17 indexed citations
2.
Ng, Julie, Anna E. Marneth, Sailaja Ghanta, et al.. (2023). Mesenchymal Stromal Cells Facilitate Neutrophil-Trained Immunity by Reprogramming Hematopoietic Stem Cells. Journal of Innate Immunity. 15(1). 765–781. 10 indexed citations
3.
Keegan, Joshua, et al.. (2023). The exoribonuclease XRN2 mediates degradation of the long non‐coding telomeric RNA TERRA. FEBS Letters. 597(14). 1818–1836. 7 indexed citations
4.
Loughran, Patricia, Shannon Haldeman, Elizabeth Andraska, et al.. (2023). MACROPHAGE SWITCHING: POLARIZATION AND MOBILIZATION AFTER TRAUMA. Shock. 59(2). 232–238. 4 indexed citations
5.
Sasaki, Takanori, Joshua Keegan, Lin Chen, et al.. (2022). Longitudinal Immune Cell Profiling in Patients With Early Systemic Lupus Erythematosus. Arthritis & Rheumatology. 74(11). 1808–1821. 32 indexed citations
6.
Guo, Fei, Brandon L. Hancock, Hui Lin, et al.. (2022). Distinct Injury Responsive Regulatory T Cells Identified by Multi-Dimensional Phenotyping. Frontiers in Immunology. 13. 833100–833100. 4 indexed citations
7.
Wang, Dahai, Lin Miao, Begüm Erdoğan, et al.. (2021). miR-378-3p Knockdown Recapitulates Many of the Features of Myelodysplastic Syndromes. American Journal Of Pathology. 191(11). 2009–2022. 1 indexed citations
8.
Yamakawa, Kazuma, et al.. (2020). Trauma induces expansion and activation of a memory-like Treg population. Journal of Leukocyte Biology. 109(3). 645–656. 5 indexed citations
9.
Ng, Julie, Fei Guo, Anna E. Marneth, et al.. (2020). Augmenting emergency granulopoiesis with CpG conditioned mesenchymal stromal cells in murine neutropenic sepsis. Blood Advances. 4(19). 4965–4979. 10 indexed citations
10.
Khalsa, Jasneet Kaur, Joshua Keegan, Joseph Driver, et al.. (2020). Immune phenotyping of diverse syngeneic murine brain tumors identifies immunologically distinct types. Nature Communications. 11(1). 3912–3912. 95 indexed citations
11.
Guo, Fei, Jennifer P. Nguyen, Fan Zhang, et al.. (2020). Circulating Factors in Trauma Plasma Activate Specific Human Immune Cell Subsets. Injury. 51(4). 819–829. 8 indexed citations
12.
Hanidziar, Dusan, David Gallo, Joshua Keegan, et al.. (2020). Characterization of pulmonary immune responses to hyperoxia by high-dimensional mass cytometry analyses. Scientific Reports. 10(1). 4677–4677. 14 indexed citations
13.
Seshadri, Anupamaa, Gabriel A. Brat, Brian K. Yorkgitis, et al.. (2019). Altered monocyte and NK cell phenotypes correlate with posttrauma infection. The Journal of Trauma: Injury, Infection, and Critical Care. 87(2). 337–341. 7 indexed citations
14.
Seshadri, Anupamaa, Gabriel A. Brat, Brian K. Yorkgitis, et al.. (2017). Phenotyping the Immune Response to Trauma: A Multiparametric Systems Immunology Approach*. Critical Care Medicine. 45(9). 1523–1530. 52 indexed citations
15.
Bischoff, Joyce, Guillem Casanovas, Jill Wylie‐Sears, et al.. (2016). CD45 Expression in Mitral Valve Endothelial Cells After Myocardial Infarction. Circulation Research. 119(11). 1215–1225. 64 indexed citations
16.
Hjortnaes, Jesper, Kayle Shapero, Claudia Goettsch, et al.. (2015). Valvular interstitial cells suppress calcification of valvular endothelial cells. Atherosclerosis. 242(1). 251–260. 144 indexed citations
17.
Keegan, Joshua, et al.. (2015). Characterization of lung infection–induced TCRγδ T cell phenotypes by CyTOF mass cytometry. Journal of Leukocyte Biology. 99(3). 483–493. 17 indexed citations
18.
Keegan, Joshua, et al.. (2015). Beneficial Effects of CpG-Oligodeoxynucleotide Treatment on Trauma and Secondary Lung Infection. The Journal of Immunology. 196(2). 767–777. 8 indexed citations
19.
Bartlett, Paul D., Heidi Schaefer, & Joshua Keegan. (1964). Mechanism of Aminonucleoside-Induced Nephrosis in the Rat. IV. Hepatic Mitochondrial Oxidative Phosphorylation.. Experimental Biology and Medicine. 117(1). 248–251. 3 indexed citations
20.
Bartlett, Paul D., Joshua Keegan, & Hans E. Schaefer. (1963). Mechanism of Aminonucleoside-Induced Nephrosis in the Rat. III. Kidney Mitochondrial Phosphorylation and Dephosphorylation Activity.. Experimental Biology and Medicine. 112(1). 96–101. 8 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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