Philip D. Gregory
Impact in
- Business and International Management top 0.05%
- Aging top 0.2%
Papers in
- Co-authors
- Michael C. HolmesFyodor D. UrnovEdward J. RebarJeffrey C. MillerH. Steve ZhangJianbin WangXiangdong MengChristian Beauséjour
- Journals
- Blood (18 papers)Molecular Therapy (16 papers)Nature Biotechnology (9 papers)Biotechnology and Bioengineering (5 papers)Cell (5 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Philip D. Gregory
136 papers receiving 21.3k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Business and International Management 1.0k
- Aging 618
- Molecular Biology 18.6k
- Genetics 6.7k
- Virology 1.1k
Countries citing papers authored by Philip D. Gregory
This map shows the geographic impact of Philip D. Gregory'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 Philip D. Gregory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip D. Gregory more than expected).
Fields of papers citing papers by Philip D. Gregory
This network shows the impact of papers produced by Philip D. Gregory. 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 Philip D. Gregory. The network helps show where Philip D. Gregory may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip D. Gregory, 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 | 2019 | 60 | |
| 2 | 2016 | 33 | |
| 3 | K13-propeller mutations confer artemisinin resistance in Plasmodium falciparum clinical isolates Hit paper breakdown → | 2014 | 473 |
| 4 | 2013 | 91 | |
| 5 | 2013 | 34 | |
| 6 | 2013 | 216 | |
| 7 | 2012 | 101 | |
| 8 | 2012 | 35 | |
| 9 | 2012 | 51 | |
| 10 | 2011 | 499 | |
| 11 | Generation of Isogenic Pluripotent Stem Cells Differing Exclusively at Two Early Onset Parkinson Point Mutations Hit paper breakdown → | 2011 | 555 |
| 12 | 2011 | 1 | |
| 13 | 2011 | 285 | |
| 14 | 2010 | 48 | |
| 15 | 2010 | 147 | |
| 16 | 2008 | 274 | |
| 17 | 2005 | 16 | |
| 18 | Targeted activation and repression of imprinted genes by synthetic zinc finger transcription factors. | 2003 | 1 |
| 19 | 1998 | 46 | |
| 20 | 1997 | 76 |
About Philip D. Gregory
Philip D. Gregory is a scholar working on Virology, Genetics, Molecular Biology, Oncology and Genetics, having authored 138 papers that have together received 21.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (82 papers), Virus-based gene therapy research (38 papers), RNA Interference and Gene Delivery (25 papers), CAR-T cell therapy research (20 papers), Pluripotent Stem Cells Research (18 papers), Genomics and Chromatin Dynamics (16 papers), Advanced biosensing and bioanalysis techniques (11 papers) and HIV Research and Treatment (9 papers). The work is most often cited by research in Business and International Management (1.0k citations), Aging (618 citations), Molecular Biology (18.6k citations), Genetics (6.7k citations) and Virology (1.1k citations). Philip D. Gregory has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Michael C. Holmes, Fyodor D. Urnov, Edward J. Rebar, Jeffrey C. Miller, H. Steve Zhang, Jianbin Wang, Xiangdong Meng, Christian Beauséjour, Gregory J. Cost and Ya-Li Lee. Their work appears in journals such as Blood, Molecular Therapy, Nature Biotechnology, Biotechnology and Bioengineering 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.