Robert Arking

3.9k total citations · 1 hit paper
77 papers, 2.9k citations indexed

About

Robert Arking is a scholar working on Aging, Molecular Biology and Ecology. According to data from OpenAlex, Robert Arking has authored 77 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Aging, 27 papers in Molecular Biology and 17 papers in Ecology. Recurrent topics in Robert Arking's work include Genetics, Aging, and Longevity in Model Organisms (51 papers), Physiological and biochemical adaptations (17 papers) and Neurobiology and Insect Physiology Research (13 papers). Robert Arking is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (51 papers), Physiological and biochemical adaptations (17 papers) and Neurobiology and Insect Physiology Research (13 papers). Robert Arking collaborates with scholars based in United States, Russia and South Korea. Robert Arking's co-authors include Steven Buck, William C. Cirocco, Leo S. Luckinbill, Michael J. Clare, Steven P. Dudas, Robert A. Wells, George T. Baker, Allan Force, Robert Wessells and Sherif Soliman and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Robert Arking

76 papers receiving 2.8k citations

Hit Papers

align trajectories sort by overperformance

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.

SELECTION FOR DELAYED SENESCENCE IN DROSOPHILA MELANOGASTER

1984 451 citations Robert Arking, Steven Buck et al. Evolution profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Robert Arking	1.6k	876	657	593	525	77	2.9k
Meng‐Ping Tu	1.6k 1.0×	878 1.0×	374 0.6×	656 1.1×	1.1k 2.1×	13	3.0k
David J. Clancy	1.3k 0.8×	765 0.9×	321 0.5×	424 0.7×	412 0.8×	26	2.7k
William W. Ja	639 0.4×	975 1.1×	219 0.3×	404 0.7×	973 1.9×	59	3.1k
Blanka Rogina	2.1k 1.3×	1.6k 1.9×	230 0.4×	262 0.4×	565 1.1×	60	4.6k
Nicolas Pichaud	414 0.3×	832 0.9×	765 1.2×	332 0.6×	226 0.4×	71	2.4k
Aziz A. Khazaeli	1.1k 0.7×	253 0.3×	488 0.7×	430 0.7×	146 0.3×	25	1.9k
Éric Le Bourg	817 0.5×	246 0.3×	291 0.4×	173 0.3×	355 0.7×	90	1.6k
Bart P. Braeckman	2.3k 1.4×	1.7k 2.0×	278 0.4×	224 0.4×	191 0.4×	101	4.0k
David W. Walker	1.7k 1.1×	2.6k 3.0×	211 0.3×	377 0.6×	641 1.2×	77	5.5k
Dario Riccardo Valenzano	516 0.3×	1.1k 1.3×	274 0.4×	291 0.5×	208 0.4×	42	3.0k

Countries citing papers authored by Robert Arking

Since Specialization

Citations

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

Fields of papers citing papers by Robert Arking

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Arking

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

All Works

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20 of 20 papers shown

Sujkowski, Alyson, et al.. (2018). Mito-nuclear interactions modify Drosophila exercise performance. Mitochondrion. 47. 188–205. 14 indexed citations

Sujkowski, Alyson, et al.. (2015). Endurance exercise and selective breeding for longevity extend Drosophila healthspan by overlapping mechanisms. Aging. 7(8). 535–552. 59 indexed citations

Craig, Thomas, Robi Tăcutu, Daniel Wuttke, et al.. (2014). The Digital Ageing Atlas: integrating the diversity of age-related changes into a unified resource. Nucleic Acids Research. 43(D1). D873–D878. 61 indexed citations

Piazza, Nicole, et al.. (2009). Exercise-Training in Young Drosophila melanogaster Reduces Age-Related Decline in Mobility and Cardiac Performance. PLoS ONE. 4(6). e5886–e5886. 111 indexed citations

Arking, Robert. (2005). Multiple Longevity Phenotypes and the Transition from Health to Senescence. Annals of the New York Academy of Sciences. 1057(1). 16–27. 11 indexed citations

Arking, Robert, et al.. (2004). How an Individual Fecundity Pattern Looks in Drosophila and Medflies. Annals of the New York Academy of Sciences. 1019(1). 577–580. 10 indexed citations

Arking, Robert, et al.. (2004). The Future of Aging Interventions: The Human Life Span Is Not That Limited: The Effect of Multiple Longevity Phenotypes. The Journals of Gerontology Series A. 59(7). B697–B704. 11 indexed citations

Arking, Robert, Michael Fossel, Leonid A. Gavrilov, et al.. (2003). Anti-Aging Teleconference: What is Anti-Aging Medicine?. PubMed. 6(2). 91–106. 11 indexed citations

Arking, Robert, et al.. (2002). EVOLUTIONARY OPTIMALITY APPLIED TO DROSOPHILA EXPERIMENTS: HYPOTHESIS OF CONSTRAINED REPRODUCTIVE EFFICIENCY. Evolution. 56(6). 1136–1149. 26 indexed citations

10.

Arking, Robert. (2002). Genomic plasticity, energy allocations, and the extended longevity phenotypes of Drosophila. Ageing Research Reviews. 1(2). 209–228. 37 indexed citations

11.

Arking, Robert & Craig N. Giroux. (2001). Antioxidant Genes, Hormesis, and Demographic Longevity. 4(2). 125–136. 8 indexed citations

12.

Arking, Robert. (2000). Time of Our Lives: The Science of Human Aging. 3(2). 203–204. 3 indexed citations

13.

Arking, Robert. (1998). Biology of Aging: Observations and Principles. Oxford University Press eBooks. 127 indexed citations

14.

Arking, Robert, et al.. (1998). Immunological Confirmation of Elevated Levels of CuZn Superoxide Dismutase Protein in an Artificially Selected Long-Lived Strain of Drosophila melanogaster. Experimental Gerontology. 33(3). 227–237. 24 indexed citations

15.

Force, Allan, et al.. (1995). Comparative biochemical and stress analysis of genetically selected drosophila strains with different longevities. Developmental Genetics. 17(4). 340–351. 76 indexed citations

16.

Arking, Robert. (1994). Evolutionary biology of aging. Experimental Gerontology. 29(2). 225–230. 37 indexed citations

17.

Dudas, Steven P. & Robert Arking. (1994). The expression of the EF1α genes of Drosophila is not associated with the extended longevity phenotype in a selected long-lived strain. Experimental Gerontology. 29(6). 645–657. 6 indexed citations

18.

Buck, Steven, Michael Nicholson, Steven P. Dudas, et al.. (1993). Larval regulation of adult longevity in a genetically-selected long-lived strain of Drosophila. Heredity. 71(1). 23–32. 34 indexed citations

19.

Arking, Robert, et al.. (1991). Elevated paraquat resistance can be used as a bioassay for longevity in a genetically based long‐lived strain of Drosophila. Developmental Genetics. 12(5). 362–370. 111 indexed citations

20.

Arking, Robert & Robert A. Wells. (1990). Genetic alteration of normal aging processes is responsible for extended longevity in Drosophila. Developmental Genetics. 11(2). 141–148. 53 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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