Samuel Goldstein
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 0.2%
- Telomeres, Telomerase, and Senescence
Papers in
-
- DNA Repair Mechanisms 23
- Nuclear Structure and Function 16
- Genomics and Chromatin Dynamics 12
- Mitochondrial Function and Pathology 9
- Pluripotent Stem Cells Research 8
- Physiology 59
- Telomeres, Telomerase, and Senescence 56
- Co-authors
- Calvin B. Harley (13 shared papers)Robert J. Shmookler Reis (20 shared papers)Homayoun Vaziri (1 shared paper)Cam Patterson (1 shared paper)Richard Allsopp (1 shared paper)A. B. Futcher (1 shared paper)Carol W. Greider (1 shared paper)Elena J. Moerman (18 shared papers)
- Journals
- Experimental Cell Research (10 papers)Journal of Cellular Physiology (7 papers)Experimental Gerontology (5 papers)Nature (5 papers)Journal of Biological Chemistry (5 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Samuel Goldstein
110 papers receiving 6.0k citations
Samuel Goldstein's Hit Papers
Peers
Comparison fields: 5 of 145
- Aging 859
- Physiology 3.3k
- Molecular Biology 3.5k
- Dermatology 267
- Cancer Research 432
Countries citing papers authored by Samuel Goldstein
This map shows the geographic impact of Samuel Goldstein'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 Goldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Goldstein more than expected).
Fields of papers citing papers by Samuel Goldstein
This network shows the impact of papers produced by Samuel Goldstein. 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 Goldstein. The network helps show where Samuel Goldstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Goldstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Telomere length predicts replicative capacity of human fibroblasts. Hit paper breakdown → | 1992 | 1830 |
| 2 | Replicative Senescence: the Human Fibroblast Comes of Age Hit paper breakdown → | 1990 | 564 |
| 3 | 2000 | 188 | |
| 4 | 1983 | 175 | |
| 5 | 1991 | 173 | |
| 6 | 1969 | 153 | |
| 7 | 1978 | 149 | |
| 8 | 1969 | 119 | |
| 9 | 1981 | 102 | |
| 10 | 1971 | 101 | |
| 11 | 1997 | 98 | |
| 12 | 1995 | 93 | |
| 13 | 1982 | 85 | |
| 14 | 1992 | 75 | |
| 15 | 1974 | 70 | |
| 16 | 1980 | 69 | |
| 17 | 1983 | 69 | |
| 18 | 1978 | 69 | |
| 19 | 1971 | 68 | |
| 20 | 1974 | 62 |
About Samuel Goldstein
Samuel Goldstein is a scholar working on Molecular Biology, Physiology, Surgery, Aging and Genetics, having authored 111 papers that have together received 6.3k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (56 papers), DNA Repair Mechanisms (23 papers), Nuclear Structure and Function (16 papers), Genomics and Chromatin Dynamics (12 papers), Genetics, Aging, and Longevity in Model Organisms (10 papers), Pancreatic function and diabetes (9 papers), Mitochondrial Function and Pathology (9 papers) and Pluripotent Stem Cells Research (8 papers). The work is most often cited by research in Aging (859 citations), Physiology (3.3k citations), Molecular Biology (3.5k citations), Dermatology (267 citations) and Cancer Research (432 citations). Samuel Goldstein has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Calvin B. Harley, Robert J. Shmookler Reis, Homayoun Vaziri, Cam Patterson, Richard Allsopp, A. B. Futcher, Carol W. Greider, Elena J. Moerman, D. P. Singal and J. Stuart Soeldner. Their work appears in journals such as Experimental Cell Research, Journal of Cellular Physiology, Experimental Gerontology, Nature and Journal of Biological Chemistry.
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.