Samuel I. Bloom

1.0k total citations · 1 hit paper
25 papers, 713 citations indexed

About

Samuel I. Bloom is a scholar working on Physiology, Immunology and Molecular Biology. According to data from OpenAlex, Samuel I. Bloom has authored 25 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 9 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Samuel I. Bloom's work include Telomeres, Telomerase, and Senescence (13 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers) and Circadian rhythm and melatonin (4 papers). Samuel I. Bloom is often cited by papers focused on Telomeres, Telomerase, and Senescence (13 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers) and Circadian rhythm and melatonin (4 papers). Samuel I. Bloom collaborates with scholars based in United States, China and Netherlands. Samuel I. Bloom's co-authors include Anthony J. Donato, Lisa A. Lesniewski, Md Torikul Islam, Yu Liu, Daniel R. Machin, Tam T. T. Phuong, Phillip E. Gates, Matthew T. Rondina, Robert A. Campbell and Raphael M. Franzini and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Physiology and The FASEB Journal.

In The Last Decade

Samuel I. Bloom

23 papers receiving 704 citations

Hit Papers

Mechanisms and consequences of endothelial cell senescence 2022 2026 2023 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel I. Bloom United States 12 263 225 137 81 71 25 713
Panagiotis Vasileiou Greece 15 265 1.0× 213 0.9× 97 0.7× 243 3.0× 133 1.9× 31 902
Damian Klóska Poland 15 430 1.6× 62 0.3× 80 0.6× 36 0.4× 54 0.8× 28 697
Yinchuan Xu China 20 477 1.8× 115 0.5× 91 0.7× 188 2.3× 188 2.6× 32 1.0k
Andrey Lozhkin United States 13 229 0.9× 132 0.6× 149 1.1× 138 1.7× 100 1.4× 27 665
Filip Sedlić United States 17 499 1.9× 107 0.5× 35 0.3× 96 1.2× 63 0.9× 30 922
Xiangquan Kong China 15 179 0.7× 69 0.3× 92 0.7× 119 1.5× 56 0.8× 36 546
Laura Braud France 12 278 1.1× 133 0.6× 124 0.9× 49 0.6× 130 1.8× 18 696
Calum Forteath United Kingdom 5 331 1.3× 121 0.5× 71 0.5× 58 0.7× 108 1.5× 7 657
Lefeng Wang China 16 208 0.8× 50 0.2× 93 0.7× 187 2.3× 96 1.4× 52 746
Aleksandra Kopacz Poland 13 348 1.3× 51 0.2× 64 0.5× 27 0.3× 41 0.6× 22 543

Countries citing papers authored by Samuel I. Bloom

Since Specialization
Citations

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

Fields of papers citing papers by Samuel I. Bloom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel I. Bloom. 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 Samuel I. Bloom. The network helps show where Samuel I. Bloom may publish in the future.

Co-authorship network of co-authors of Samuel I. Bloom

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel I. Bloom. A scholar is included among the top collaborators of Samuel I. Bloom 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 Samuel I. Bloom. Samuel I. Bloom 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.
Bloom, Samuel I., et al.. (2025). Senolytic therapy increases replicative capacity by eliminating senescent endothelial cells. Experimental Gerontology. 211. 112885–112885.
2.
Mahoney, Sophia, Samuel I. Bloom, Douglas R. Seals, et al.. (2025). Mechanisms of cellular senescence-induced vascular aging: evidence of senotherapeutic strategies. PubMed. 5(1). 1 indexed citations
4.
Islam, Md Torikul, Jinjin Cai, Samuel I. Bloom, et al.. (2024). Endothelial-Specific Reduction in Arf6 Impairs Insulin-Stimulated Vasodilation and Skeletal Muscle Blood Flow Resulting in Systemic Insulin Resistance in Mice. Arteriosclerosis Thrombosis and Vascular Biology. 44(5). 1101–1113. 4 indexed citations
5.
Bloom, Samuel I., Md Torikul Islam, Daniel R. Machin, et al.. (2023). Endothelial cell telomere dysfunction induces senescence and results in vascular and metabolic impairments. Aging Cell. 22(8). e13875–e13875. 37 indexed citations
6.
Bloom, Samuel I., et al.. (2023). Senolytics reduce endothelial cell DNA damage and telomere dysfunction in old age. Physiology. 38(S1). 1 indexed citations
7.
Donato, Anthony J., et al.. (2023). Analysis of Somatic Mutations in Senescent Cells Using Single-Cell Whole-Genome Sequencing. PubMed. 1(1). 20230007–20230007.
8.
Machin, Daniel R., Daniel W. Trott, Md Torikul Islam, et al.. (2023). Glycocalyx-targeted therapy ameliorates age-related arterial dysfunction. GeroScience. 45(4). 2351–2365. 17 indexed citations
9.
Bloom, Samuel I., et al.. (2023). Reduction of double-strand DNA break repair exacerbates vascular aging. Aging. 15(19). 9913–9947. 3 indexed citations
11.
Bloom, Samuel I., Yu Liu, Daniel R. Machin, et al.. (2022). Aging results in endothelial cell telomere uncapping that induces senescence and physiological dysfunction. The FASEB Journal. 36(S1). 1 indexed citations
12.
Bloom, Samuel I., Md Torikul Islam, Lisa A. Lesniewski, & Anthony J. Donato. (2022). Mechanisms and consequences of endothelial cell senescence. Nature Reviews Cardiology. 20(1). 38–51. 267 indexed citations breakdown →
13.
Yuen, Lik Hang, Yu Liu, Samuel I. Bloom, et al.. (2021). Correction to “A Focused DNA-Encoded Chemical Library for the Discovery of Inhibitors of NAD+-Dependent Enzymes”. Journal of the American Chemical Society. 143(29). 11272–11273. 2 indexed citations
14.
Bloom, Samuel I., et al.. (2020). High‐fat diet induced obesity and age influence the telomere shelterin complex and telomerase gene expression in mouse adipose tissue. Physiological Reports. 8(11). e14461–e14461. 14 indexed citations
15.
Smith, Denise L., Samuel I. Bloom, Brandt D. Pence, et al.. (2019). Firefighting Induces Acute Inflammatory Responses that are not Relieved by Aspirin in Older Firefighters. Journal of Occupational and Environmental Medicine. 61(7). 617–622. 10 indexed citations
16.
Yuen, Lik Hang, Yu Liu, Samuel I. Bloom, et al.. (2019). A Focused DNA-Encoded Chemical Library for the Discovery of Inhibitors of NAD+-Dependent Enzymes. Journal of the American Chemical Society. 141(13). 5169–5181. 92 indexed citations
17.
Liu, Yu, Samuel I. Bloom, & Anthony J. Donato. (2018). The role of senescence, telomere dysfunction and shelterin in vascular aging. Microcirculation. 26(2). e12487–e12487. 54 indexed citations
18.
Morgan, R. Garrett, Ashley E. Walker, Daniel W. Trott, et al.. (2018). Induced Trf2 deletion leads to aging vascular phenotype in mice associated with arterial telomere uncapping, senescence signaling, and oxidative stress. Journal of Molecular and Cellular Cardiology. 127. 74–82. 25 indexed citations
19.
Frech, Tracy, Daniel R. Machin, Maureen A. Murtaugh, et al.. (2018). Implications of endothelial shear stress on systemic sclerosis vasculopathy and treatment. Clinical and Experimental Rheumatology. 36 Suppl 113(4). 175–182. 5 indexed citations
20.
Ives, Stephen J., et al.. (2017). Effects of a combined protein and antioxidant supplement on recovery of muscle function and soreness following eccentric exercise. Journal of the International Society of Sports Nutrition. 14(1). 21–21. 24 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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