Adiv A. Johnson

1.8k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Adiv A. Johnson is a scholar working on Molecular Biology, Aging and Genetics. According to data from OpenAlex, Adiv A. Johnson has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Aging and 5 papers in Genetics. Recurrent topics in Adiv A. Johnson's work include Epigenetics and DNA Methylation (14 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers) and RNA modifications and cancer (5 papers). Adiv A. Johnson is often cited by papers focused on Epigenetics and DNA Methylation (14 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers) and RNA modifications and cancer (5 papers). Adiv A. Johnson collaborates with scholars based in United States, United Kingdom and Canada. Adiv A. Johnson's co-authors include Alexandra Stolzing, Maxim N. Shokhirev, Benoit Lehallier, Daniel Wuttke, João Pedro de Magalhães, Stuart Calimport, Tony Wyss‐Coray, Trinna Cuellar, Michael A. Riehle and Vanessa Corby‐Harris and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Experimental Cell Research.

In The Last Decade

Adiv A. Johnson

25 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The role of lipid metabolism in aging, lifespan regulation, and age‐related disease

2019 287 citations Adiv A. Johnson, Alexandra Stolzing Aging Cell profile →

Peers

Adiv A. Johnson

PHYSI

AGING

GENET

PHEOH

Eiichi Takaki Japan

Francesco Lescai Italy

Archana Unnikrishnan United States

Deqing Wu China

Mario G. Mirisola Italy

Barbara Robertson United States

Lori L. Jennings United States

Georges E. Janssens Netherlands

Chen‐Yu Liao United States

Ullas Kolthur‐Seetharam India

Eiichi Takaki Japan

Adiv A. Johnson

1.1k ×1.9

208 ×0.7

PHYSI

191 ×0.8

AGING

156 ×1.3

GENET

197 ×1.8

PHEOH

Citations per year, relative to Adiv A. Johnson Adiv A. Johnson (= 1×) peers Eiichi Takaki

Countries citing papers authored by Adiv A. Johnson

Since Specialization

Citations

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

Fields of papers citing papers by Adiv A. Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adiv A. Johnson. 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 Adiv A. Johnson. The network helps show where Adiv A. Johnson may publish in the future.

Co-authorship network of co-authors of Adiv A. Johnson

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Johnson, Adiv A. & Maxim N. Shokhirev. (2025). First-generation versus next-generation epigenetic aging clocks: Differences in performance and utility. Biogerontology. 26(4). 121–121. 3 indexed citations

Johnson, Adiv A. & Maxim N. Shokhirev. (2025). Demystifying common DNA methylation sites that promote the ability of CheekAge to associate with health and disease. Ageing Research Reviews. 111. 102839–102839.

Johnson, Adiv A.. (2025). Realistic expectations for changes to average human lifespan in the near future. Biogerontology. 26(5). 176–176.

Shokhirev, Maxim N. & Adiv A. Johnson. (2025). Analysis of variability and epigenetic age prediction across microarray and methylation sequencing technologies. GeroScience. 47(5). 6631–6638. 1 indexed citations

Shokhirev, Maxim N. & Adiv A. Johnson. (2025). Various diseases and conditions are strongly associated with the next-generation epigenetic aging clock CheekAge. GeroScience. 47(3). 3191–3206. 3 indexed citations

Shokhirev, Maxim N., Daniel J. Kramer, Janie Corley, et al.. (2024). CheekAge, a next-generation epigenetic buccal clock, is predictive of mortality in human blood. SHILAP Revista de lepidopterología. 5. 1460360–1460360. 4 indexed citations

Shokhirev, Maxim N., et al.. (2024). CheekAge: a next-generation buccal epigenetic aging clock associated with lifestyle and health. GeroScience. 46(3). 3429–3443. 12 indexed citations

Johnson, Adiv A. & Maxim N. Shokhirev. (2024). Contextualizing aging clocks and properly describing biological age. Aging Cell. 23(12). e14377–e14377. 8 indexed citations

Johnson, Adiv A. & Trinna Cuellar. (2023). Glycine and aging: Evidence and mechanisms. Ageing Research Reviews. 87. 101922–101922. 28 indexed citations

10.

Johnson, Adiv A., et al.. (2022). A set of common buccal CpGs that predict epigenetic age and associate with lifespan-regulating genes. iScience. 25(11). 105304–105304. 7 indexed citations

11.

Shokhirev, Maxim N. & Adiv A. Johnson. (2022). An integrative machine-learning meta-analysis of high-throughput omics data identifies age-specific hallmarks of Alzheimer’s disease. Ageing Research Reviews. 81. 101721–101721. 29 indexed citations

12.

Johnson, Adiv A., Maxim N. Shokhirev, & Benoit Lehallier. (2021). The protein inputs of an ultra-predictive aging clock represent viable anti-aging drug targets. Ageing Research Reviews. 70. 101404–101404. 18 indexed citations

13.

Rohani, Leili, Breanna S. Borys, Shiying Liu, et al.. (2020). Stirred suspension bioreactors maintain naïve pluripotency of human pluripotent stem cells. Communications Biology. 3(1). 492–492. 19 indexed citations

14.

Kirsten, Holger, Leili Rohani, Peter Ahnert, et al.. (2020). Molecular analyses of glioblastoma stem-like cells and glioblastoma tissue. PLoS ONE. 15(7). e0234986–e0234986. 8 indexed citations

15.

Johnson, Adiv A., Maxim N. Shokhirev, Tony Wyss‐Coray, & Benoit Lehallier. (2020). Systematic review and analysis of human proteomics aging studies unveils a novel proteomic aging clock and identifies key processes that change with age. Ageing Research Reviews. 60. 101070–101070. 104 indexed citations

16.

Johnson, Adiv A., et al.. (2020). Doxorubicin generates senescent microglia that exhibit altered proteomes, higher levels of cytokine secretion, and a decreased ability to internalize amyloid β. Experimental Cell Research. 395(2). 112203–112203. 24 indexed citations

17.

Johnson, Adiv A., et al.. (2019). Revamping the evolutionary theories of aging. Ageing Research Reviews. 55. 100947–100947. 54 indexed citations

18.

Johnson, Adiv A.. (2019). Lipid Hydrolase Enzymes: Pragmatic Prolongevity Targets for Improved Human Healthspan?. Rejuvenation Research. 23(2). 107–121. 5 indexed citations

19.

Shokhirev, Maxim N. & Adiv A. Johnson. (2014). Effects of Extrinsic Mortality on the Evolution of Aging: A Stochastic Modeling Approach. PLoS ONE. 9(1). e86602–e86602. 24 indexed citations

20.

Corby‐Harris, Vanessa, et al.. (2010). The impact of larval and adult dietary restriction on lifespan, reproduction and growth in the mosquito Aedes aegypti. Experimental Gerontology. 45(9). 685–690. 77 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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