Aaron Havas

1.2k total citations · 1 hit paper
11 papers, 599 citations indexed

About

Aaron Havas is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Aaron Havas has authored 11 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Immunology. Recurrent topics in Aaron Havas's work include Histone Deacetylase Inhibitors Research (3 papers), Epigenetics and DNA Methylation (3 papers) and Protein Degradation and Inhibitors (3 papers). Aaron Havas is often cited by papers focused on Histone Deacetylase Inhibitors Research (3 papers), Epigenetics and DNA Methylation (3 papers) and Protein Degradation and Inhibitors (3 papers). Aaron Havas collaborates with scholars based in United States, United Kingdom and China. Aaron Havas's co-authors include Peter D. Adams, Trey Ideker, Tina Wang, Neil Robertson, Jayaraj Rajagopal, Zhixun Dou, Payel Sen, Angelique Onorati, Brian Lin and Masaaki Kitajima and has published in prestigious journals such as Nature Communications, Molecular Cell and Nature Cell Biology.

In The Last Decade

Aaron Havas

11 papers receiving 592 citations

Hit Papers

DNA Methylation Clocks in Aging: Categories, Causes, and ... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron Havas United States 8 393 107 74 61 48 11 599
Marty Bigos United States 7 238 0.6× 272 2.5× 54 0.7× 45 0.7× 55 1.1× 9 645
Melanie Weigert United States 7 266 0.7× 50 0.5× 48 0.6× 70 1.1× 100 2.1× 10 444
Christa Morris United States 8 268 0.7× 177 1.7× 69 0.9× 59 1.0× 11 0.2× 9 511
Nengyong Ouyang China 14 191 0.5× 68 0.6× 66 0.9× 15 0.2× 104 2.2× 28 603
Lin Lee United States 12 564 1.4× 63 0.6× 14 0.2× 62 1.0× 39 0.8× 25 732
Clara C. Elbers Netherlands 10 295 0.8× 145 1.4× 76 1.0× 425 7.0× 51 1.1× 20 890
Siarhei Maslau United Kingdom 5 780 2.0× 88 0.8× 119 1.6× 343 5.6× 121 2.5× 7 1.1k
Pavel I. Deryabin Russia 12 177 0.5× 156 1.5× 204 2.8× 38 0.6× 19 0.4× 27 554
Hope R. Henderson United States 8 752 1.9× 43 0.4× 41 0.6× 159 2.6× 98 2.0× 8 989
Daniel A. Anderson United States 11 356 0.9× 26 0.2× 50 0.7× 109 1.8× 15 0.3× 17 651

Countries citing papers authored by Aaron Havas

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Havas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron Havas

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

All Works

11 of 11 papers shown
1.
Xue, Hao, Bo Zhao, Xin Xu, et al.. (2024). TXNRD1 drives the innate immune response in senescent cells with implications for age-associated inflammation. Nature Aging. 4(2). 185–197. 17 indexed citations
2.
Ninomiya, Kenta, Chen Farhy, Aaron Havas, et al.. (2024). ImAge quantitates aging and rejuvenation. Nature Aging. 4(9). 1308–1327. 6 indexed citations
3.
Wang, Chen, Hideki Tanizawa, Connor Hill, et al.. (2024). METTL3-mediated chromatin contacts promote stress granule phase separation through metabolic reprogramming during senescence. Nature Communications. 15(1). 5410–5410. 6 indexed citations
5.
Xue, Hao, Yusuke Shiromoto, Masayuki Sakurai, et al.. (2022). ADAR1 downregulation by autophagy drives senescence independently of RNA editing by enhancing p16INK4a levels. Nature Cell Biology. 24(8). 1202–1210. 38 indexed citations
6.
Onorati, Angelique, Aaron Havas, Brian Lin, et al.. (2022). Upregulation of PD-L1 in Senescence and Aging. Molecular and Cellular Biology. 42(10). e0017122–e0017122. 75 indexed citations
7.
Robertson, Neil, et al.. (2018). DNA Methylation Clocks in Aging: Categories, Causes, and Consequences. Molecular Cell. 71(6). 882–895. 364 indexed citations breakdown →
9.
Lopez, Gerardo U., Masaaki Kitajima, Aaron Havas, Charles P. Gerba, & Kelly A. Reynolds. (2014). Evaluation of a Disinfectant Wipe Intervention on Fomite-to-Finger Microbial Transfer. Applied and Environmental Microbiology. 80(10). 3113–3118. 29 indexed citations
10.
Havas, Aaron, Mary E. Klein, W.T. Pinkston, et al.. (2013). A model of sensitivity and resistance to histone deacetylase inhibitors in diffuse large B cell lymphoma. Cancer Biology & Therapy. 14(10). 949–961. 20 indexed citations
11.
Johansen, Kristen M., et al.. (2013). Characterization of Giardia lamblia genotypes in dogs from Tucson, Arizona using SSU-rRNA and β-giardin sequences. Parasitology Research. 113(1). 387–390. 14 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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