Nick Dang

2.6k total citations · 1 hit paper
7 papers, 1.8k citations indexed

About

Nick Dang is a scholar working on Aging, Molecular Biology and Geriatrics and Gerontology. According to data from OpenAlex, Nick Dang has authored 7 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Aging, 4 papers in Molecular Biology and 4 papers in Geriatrics and Gerontology. Recurrent topics in Nick Dang's work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Sirtuins and Resveratrol in Medicine (4 papers) and Mitochondrial Function and Pathology (2 papers). Nick Dang is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (5 papers), Sirtuins and Resveratrol in Medicine (4 papers) and Mitochondrial Function and Pathology (2 papers). Nick Dang collaborates with scholars based in United States. Nick Dang's co-authors include Di Hu, Brian K. Kennedy, Matt Kaeberlein, Emily O. Kerr, Stanley Fields, Kristan K. Steffen, Ryan Powers, Mitsuhiro Tsuchiya, Vivian L. MacKay and Erica D. Smith and has published in prestigious journals such as Science, Cell and Genome Research.

In The Last Decade

Nick Dang

7 papers receiving 1.7k 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.

Regulation of Yeast Replicative Life Span by TOR and Sch9 in Response to Nutrients

2005 1.0k citations Matt Kaeberlein, Ryan Powers et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nick Dang United States	5	1.1k	1.1k	459	241	219	7	1.8k
Ryan Powers United States	7	1.2k 1.1×	1.1k 1.0×	533 1.2×	231 1.0×	240 1.1×	8	1.9k
Emily O. Kerr United States	10	1.4k 1.2×	1.1k 1.0×	464 1.0×	241 1.0×	221 1.0×	15	2.1k
Mitsuhiro Tsuchiya United States	13	984 0.9×	933 0.8×	345 0.8×	139 0.6×	221 1.0×	20	1.6k
Kristan K. Steffen United States	11	2.2k 1.9×	1.5k 1.3×	682 1.5×	318 1.3×	277 1.3×	12	3.0k
Kui Lin China	10	916 0.8×	968 0.9×	343 0.7×	55 0.2×	346 1.6×	13	1.5k
Alicia Meléndez United States	19	896 0.8×	1.1k 1.0×	374 0.8×	101 0.4×	230 1.1×	28	2.3k
Jessica T. Chang United States	10	523 0.5×	726 0.7×	246 0.5×	64 0.3×	190 0.9×	14	1.4k
Amrita M. Nargund United States	9	1.7k 1.5×	654 0.6×	412 0.9×	59 0.2×	109 0.5×	11	2.1k
Christian G. Riedel Sweden	16	1.0k 0.9×	424 0.4×	133 0.3×	62 0.3×	103 0.5×	33	1.4k
Ara B. Hwang South Korea	9	570 0.5×	504 0.5×	265 0.6×	38 0.2×	121 0.6×	11	900

Countries citing papers authored by Nick Dang

Since Specialization

Citations

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

Fields of papers citing papers by Nick Dang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Nick Dang. A scholar is included among the top collaborators of Nick Dang 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 Nick Dang. Nick Dang 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:

7 of 7 papers shown

1.

Steffen, Kristan K., Vivian L. MacKay, Emily O. Kerr, et al.. (2008). Yeast Life Span Extension by Depletion of 60S Ribosomal Subunits Is Mediated by Gcn4. Cell. 133(2). 292–302. 359 indexed citations

2.

Smith, Erica D., Mitsuhiro Tsuchiya, Nick Dang, et al.. (2008). Quantitative evidence for conserved longevity pathways between divergent eukaryotic species. Genome Research. 18(4). 564–570. 149 indexed citations

3.

Tsuchiya, Mitsuhiro, Nick Dang, Emily O. Kerr, et al.. (2006). Sirtuin‐independent effects of nicotinamide on lifespan extension from calorie restriction in yeast. Aging Cell. 5(6). 505–514. 94 indexed citations

4.

Kaeberlein, Matt, Di Hu, Emily O. Kerr, et al.. (2006). Author's Reply. PLoS Genetics. 2(3). e34–e34. 2 indexed citations

5.

Kaeberlein, Matt, Ryan Powers, Kristan K. Steffen, et al.. (2005). Regulation of Yeast Replicative Life Span by TOR and Sch9 in Response to Nutrients. Science. 310(5751). 1193–1196. 1015 indexed citations breakdown →

6.

Kaeberlein, Matt, Di Hu, Emily O. Kerr, et al.. (2005). Increased Life Span due to Calorie Restriction in Respiratory-Deficient Yeast. PLoS Genetics. 1(5). e69–e69. 150 indexed citations

7.

Kaeberlein, Matt, Di Hu, Emily O. Kerr, et al.. (2005). Increased life span due to calorie restriction in respiratory deficient yeast. PLoS Genetics. preprint(2005). e69–e69. 3 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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