Darrell Nix
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- Peptidase Inhibition and Analysis
- Cancer-related Molecular Pathways
Papers in ⓘ
-
- Multiple Myeloma Research and Treatments 4
- Oncology 9
- Peptidase Inhibition and Analysis 5
- Co-authors
- Dixie Esseltine (2 shared papers)J J Schentag (2 shared papers)Christos N. Papandreou (1 shared paper)Timothy Madden (1 shared paper)Jeri Kim (1 shared paper)Lance C. Pagliaro (1 shared paper)Alexandria Petrusich (1 shared paper)Randall E. Millikan (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Antimicrobial Agents and Chemotherapy (2 papers)Xenobiotica (2 papers)Drug Metabolism and Disposition (2 papers)Blood (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Darrell Nix
19 papers receiving 844 citations
Peers
Comparison fields: 5 of 85
- Hematology 378
- Oncology 329
- Molecular Biology 566
- Genetics 59
- Cancer Research 72
Countries citing papers authored by Darrell Nix
This map shows the geographic impact of Darrell Nix'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 Darrell Nix with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darrell Nix more than expected).
Fields of papers citing papers by Darrell Nix
This network shows the impact of papers produced by Darrell Nix. 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 Darrell Nix. The network helps show where Darrell Nix may publish in the future.
Co-authors
The 25 scholars most cited alongside Darrell Nix, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 372 | |
| 2 | 2005 | 169 | |
| 3 | 2005 | 117 | |
| 4 | 1985 | 69 | |
| 5 | 2017 | 36 | |
| 6 | 2006 | 28 | |
| 7 | 2009 | 15 | |
| 8 | 1991 | 13 | |
| 9 | 2024 | 11 | |
| 10 | 2009 | 7 | |
| 11 | 1997 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 1990 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2016 | 4 | |
| 16 | 2018 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2009 | 3 | |
| 19 | 2020 | 2 | |
| 20 | 2024 | 0 |
About Darrell Nix
Darrell Nix is a scholar working on Hematology, Oncology, Genetics, Pharmacology and Cancer Research, having authored 21 papers that have together received 876 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (5 papers), Peptidase Inhibition and Analysis (5 papers), Multiple Myeloma Research and Treatments (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Pharmaceutical studies and practices (2 papers). The work is most often cited by research in Hematology (378 citations), Oncology (329 citations), Molecular Biology (566 citations), Genetics (59 citations) and Cancer Research (72 citations). Darrell Nix has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Dixie Esseltine, J J Schentag, Christos N. Papandreou, Timothy Madden, Jeri Kim, Lance C. Pagliaro, Alexandria Petrusich, Randall E. Millikan, Cherie Perez and Julian Adams. Their work appears in journals such as Journal of Clinical Oncology, Antimicrobial Agents and Chemotherapy, Xenobiotica, Drug Metabolism and Disposition and Blood.
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.