Joseph D. Growney
- Molecular Biology top 5%
- Immunology top 5%
- Hematology top 2%
- Oncology top 10%
- Cancer Research top 5%
- Co-authors
- William F. DietrichD. Gary GillilandJennifer AdelspergerNancy A. SpeckMatthew G. EndrizziHirokazu ShigematsuR. M. RowanKoichi Akashi
- Topics
- Histone Deacetylase Inhibitors Research (7 papers)Acute Myeloid Leukemia Research (5 papers)Cancer-related Molecular Pathways (4 papers)
- Cited by
- EndocrinologyHematologyImmunology
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Joseph D. Growney
33 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 1.4k
- Immunology 660
- Hematology 460
- Oncology 364
- Cancer Research 351
Countries citing papers authored by Joseph D. Growney
This map shows the geographic impact of Joseph D. Growney'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 Joseph D. Growney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph D. Growney more than expected).
Fields of papers citing papers by Joseph D. Growney
This network shows the impact of papers produced by Joseph D. Growney. 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 Joseph D. Growney. The network helps show where Joseph D. Growney may publish in the future.
Co-authorship network of co-authors of Joseph D. Growney
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph D. Growney. A scholar is included among the top collaborators of Joseph D. Growney 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 Joseph D. Growney. Joseph D. Growney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 9 | |
| 5 | 221 | |
| 6 | 211 | |
| 7 | IDH1 Mutations Alter Citric Acid Cycle Metabolism and Increase Dependence on Oxidative Mitochondrial Metabolism | 83 |
| 8 | 2 | |
| 9 | 77 | |
| 10 | Potent anticancer activity of the pan-deacetylase inhibitor panobinostat (LBH589) as a single agent in in vitro and in vivo tumor models | 15 |
| 11 | Potent anticancer activity of the deacetylase inhibitor panobinostat (LBH589) in colon cancer cell lines and patient-derived primary colon cancer xenografts | 2 |
| 12 | 3 | |
| 13 | 191 | |
| 14 | 364 | |
| 15 | 198 | |
| 16 | 3 | |
| 17 | 204 | |
| 18 | 19 | |
| 19 | 56 | |
| 20 | 53 |
About Joseph D. Growney
Joseph D. Growney is a scholar working on Genetics, Hematology and Gastroenterology, having authored 34 papers that have together received 2.2k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (7 papers), Acute Myeloid Leukemia Research (5 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Endocrinology (226 citations), Hematology (460 citations) and Immunology (660 citations). Joseph D. Growney has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include William F. Dietrich, D. Gary Gilliland, Jennifer Adelsperger, Nancy A. Speck, Matthew G. Endrizzi, Hirokazu Shigematsu, R. M. Rowan, Koichi Akashi, Zhe Li and David P. Curley. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Genetics.
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.