Gregory R. Hoffman
Impact in
- Aging top 2%
Papers in
-
- Cellular transport and secretion 6
-
- Protein Kinase Regulation and GTPase Signaling 8
- CRISPR and Genetic Engineering 6
- PI3K/AKT/mTOR signaling in cancer 4
- DNA Repair Mechanisms 3
- Epigenetics and DNA Methylation 3
- Metabolism, Diabetes, and Cancer 3
- Co-authors
- Richard A. CerioneNicolas NassarJohn BlenisGeorge PoulogiannisLewis C. CantleyElizabeth FriasCarsten RussJohn Reece-Hoyes
- Journals
- Molecular Cell (3 papers)Proceedings of the National Academy of Sciences (3 papers)Cell Reports (2 papers)Cell (2 papers)Environmental and Molecular Mutagenesis (2 papers)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Gregory R. Hoffman
28 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Aging 147
- Business and International Management 90
- Molecular Biology 2.8k
- Cell Biology 570
- Physiology 109
Countries citing papers authored by Gregory R. Hoffman
This map shows the geographic impact of Gregory R. Hoffman'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 Gregory R. Hoffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory R. Hoffman more than expected).
Fields of papers citing papers by Gregory R. Hoffman
This network shows the impact of papers produced by Gregory R. Hoffman. 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 Gregory R. Hoffman. The network helps show where Gregory R. Hoffman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gregory R. Hoffman, 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 | 2025 | 1 | |
| 2 | 2019 | 52 | |
| 3 | 2019 | 42 | |
| 4 | 2018 | 2 | |
| 5 | p53 inhibits CRISPR–Cas9 engineering in human pluripotent stem cells Hit paper breakdown → | 2018 | 658 |
| 6 | 2017 | 38 | |
| 7 | 2017 | 140 | |
| 8 | 2016 | 310 | |
| 9 | 2012 | 175 | |
| 10 | 2010 | 30 | |
| 11 | 2008 | 9 | |
| 12 | 2004 | 28 | |
| 13 | 2003 | 44 | |
| 14 | 2002 | 117 | |
| 15 | 2000 | 77 | |
| 16 | 2000 | 400 | |
| 17 | 1998 | 38 | |
| 18 | 1991 | 13 | |
| 19 | 1991 | 42 | |
| 20 | 1986 | 1 |
About Gregory R. Hoffman
Gregory R. Hoffman is a scholar working on Cell Biology, Molecular Biology, Virology, Sensory Systems and Endocrine and Autonomic Systems, having authored 28 papers that have together received 3.4k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (8 papers), Cellular transport and secretion (6 papers), CRISPR and Genetic Engineering (6 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), DNA Repair Mechanisms (3 papers), Epigenetics and DNA Methylation (3 papers), Autophagy in Disease and Therapy (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Aging (147 citations), Business and International Management (90 citations), Molecular Biology (2.8k citations), Cell Biology (570 citations) and Physiology (109 citations). Gregory R. Hoffman has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Richard A. Cerione, Nicolas Nassar, John Blenis, George Poulogiannis, Lewis C. Cantley, Elizabeth Frias, Carsten Russ, John Reece-Hoyes, Xiaoju Max and Neil Kubica. Their work appears in journals such as Molecular Cell, Proceedings of the National Academy of Sciences, Cell Reports, Cell and Environmental and Molecular Mutagenesis.
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.