Jack D. Griffith
- Aging top 0.5%
- Molecular Biology top 0.1%
- DNA Repair Mechanisms 80
- DNA and Nucleic Acid Chemistry 74
- RNA and protein synthesis mechanisms 46
- Genomics and Chromatin Dynamics 22
- CRISPR and Genetic Engineering 21
- Genetics top 0.5%
- Bacterial Genetics and Biotechnology 35
- Physiology top 0.5%
- Telomeres, Telomerase, and Senescence 28
- Cancer Research top 1%
-
- Bacteriophages and microbial interactions 34
- Co-authors
- Titia de LangeAlessandro BianchiRachel M. StanselAlexander M. MakhovAnthony J. CesareLaurey ComeauGunna ChristiansenSmaranda Willcox
- Cited by
- AgingMolecular BiologyGenetics
- Journals
- Journal of Biological Chemistry (53 papers)Journal of Molecular Biology (34 papers)Proceedings of the National Academy of Sciences (26 papers)
- Partner nations
- United StatesFranceSlovakia
In The Last Decade
Jack D. Griffith
256 papers receiving 17.2k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Aging 540
- Molecular Biology 14.6k
- Genetics 3.1k
- Physiology 2.9k
- Cancer Research 1.5k
Countries citing papers authored by Jack D. Griffith
This map shows the geographic impact of Jack D. Griffith'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 Jack D. Griffith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack D. Griffith more than expected).
Fields of papers citing papers by Jack D. Griffith
This network shows the impact of papers produced by Jack D. Griffith. 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 Jack D. Griffith. The network helps show where Jack D. Griffith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jack D. Griffith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2023 | 16 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 6 | |
| 5 | 2021 | 51 | |
| 6 | 2019 | 48 | |
| 7 | 2019 | 19 | |
| 8 | 2018 | 65 | |
| 9 | 2013 | 147 | |
| 10 | 2013 | 6 | |
| 11 | 2012 | 221 | |
| 12 | 2009 | 20 | |
| 13 | 2007 | 89 | |
| 14 | 2005 | 23 | |
| 15 | 2004 | 259 | |
| 16 | 2003 | 260 | |
| 17 | 2001 | 27 | |
| 18 | 1995 | 13 | |
| 19 | 1992 | 21 | |
| 20 | Biological markers in epidemiology | 1990 | 125 |
About Jack D. Griffith
Jack D. Griffith is a scholar working on Molecular Biology, Aging and Genetics, having authored 265 papers that have together received 17.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (80 papers), DNA and Nucleic Acid Chemistry (74 papers), RNA and protein synthesis mechanisms (46 papers), Bacterial Genetics and Biotechnology (35 papers), Bacteriophages and microbial interactions (34 papers), Telomeres, Telomerase, and Senescence (28 papers), Genomics and Chromatin Dynamics (22 papers) and CRISPR and Genetic Engineering (21 papers). The work is most often cited by research in Aging (540 citations), Molecular Biology (14.6k citations) and Genetics (3.1k citations). Jack D. Griffith has collaborated with scholars based in United States, France and Slovakia. Frequent co-authors include Titia de Lange, Alessandro Bianchi, Rachel M. Stansel, Alexander M. Makhov, Anthony J. Cesare, Laurey Comeau, Gunna Christiansen, Smaranda Willcox, Yuh-Hwa Wang and James C. Register. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Nucleic Acids Research and Cell.
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.