Darrell Nix

1.2k total citations
21 papers, 876 citations indexed

About

Darrell Nix is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Darrell Nix has authored 21 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 5 papers in Hematology. Recurrent topics in Darrell Nix's work include Protein Degradation and Inhibitors (5 papers), Peptidase Inhibition and Analysis (5 papers) and Multiple Myeloma Research and Treatments (4 papers). Darrell Nix is often cited by papers focused on Protein Degradation and Inhibitors (5 papers), Peptidase Inhibition and Analysis (5 papers) and Multiple Myeloma Research and Treatments (4 papers). Darrell Nix collaborates with scholars based in United States, Austria and Australia. Darrell Nix's co-authors include Dixie Esseltine, J J Schentag, P. Dieringer, Julian Adams, Christopher J. Logothetis, Randall E. Millikan, Timothy Madden, Hong Yang, Christine Pien and Danai Daliani and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Journal of the American College of Cardiology.

In The Last Decade

Darrell Nix

19 papers receiving 844 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Darrell Nix United States 9 566 378 329 78 72 21 876
Tamer E. Fandy United States 18 874 1.5× 318 0.8× 213 0.6× 40 0.5× 103 1.4× 37 1.2k
Yuichi Nakamura Japan 18 393 0.7× 242 0.6× 149 0.5× 43 0.6× 75 1.0× 62 1.0k
Abhisek Swaika United States 15 475 0.8× 267 0.7× 549 1.7× 35 0.4× 145 2.0× 30 1.1k
Mark Hong Lee South Korea 13 383 0.7× 197 0.5× 245 0.7× 37 0.5× 176 2.4× 63 904
Chaoxin Hu United States 13 434 0.8× 98 0.3× 367 1.1× 64 0.8× 128 1.8× 18 920
P. Thavasu United Kingdom 8 279 0.5× 151 0.4× 155 0.5× 36 0.5× 58 0.8× 10 644
Songfu Jiang China 18 361 0.6× 251 0.7× 418 1.3× 20 0.3× 86 1.2× 61 861
Jason M. Foulks United States 14 428 0.8× 282 0.7× 114 0.3× 20 0.3× 152 2.1× 31 850
Danian Nie China 18 297 0.5× 363 1.0× 147 0.4× 39 0.5× 64 0.9× 59 772
Lori Capone Switzerland 9 466 0.8× 307 0.8× 179 0.5× 90 1.2× 14 0.2× 13 1.0k

Countries citing papers authored by Darrell Nix

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Darrell Nix

This figure shows the co-authorship network connecting the top 25 collaborators of Darrell Nix. A scholar is included among the top collaborators of Darrell Nix 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 Darrell Nix. Darrell Nix is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Babu, Suma, Katharine Nicholson, Jeffrey D. Rothstein, et al.. (2024). Apilimod dimesylate in C9orf72 amyotrophic lateral sclerosis: a randomized phase 2a clinical trial. Brain. 147(9). 2998–3008. 11 indexed citations
2.
Viader, Andreu, John Throup, Heike J. Wobst, et al.. (2024). JNT-517, a first-in-class SLC6A19 inhibitor for the treatment of phenylketonuria, enhances urinary excretion of phenylalanine in healthy volunteers. Molecular Genetics and Metabolism. 141(4). 108267–108267.
4.
Rioux, Nathalie, Sherri Smith, Amy Kim, et al.. (2020). Metabolic disposition of H3B-8800, an orally available small-molecule splicing modulator, in rats, monkeys, and humans. Xenobiotica. 50(9). 1101–1114. 3 indexed citations
5.
Buchtele, Nina, Michael Schwameis, Christian Schoergenhofer, et al.. (2020). Safety, tolerability, pharmacokinetics and pharmacodynamics of parenterally administered dutogliptin: A prospective dose‐escalating trial. British Journal of Clinical Pharmacology. 86(5). 979–990. 7 indexed citations
7.
Rioux, Nathalie, Amy Kim, Darrell Nix, et al.. (2018). Effect of a high-fat meal on the relative bioavailability of H3B-6527, a novel FGFR4 inhibitor, in healthy volunteers. Cancer Chemotherapy and Pharmacology. 83(1). 91–96. 3 indexed citations
8.
9.
Nix, Darrell, et al.. (2016). TCT-180 Impact of the novel DPP-IV-inhibitor Dutogliptin in combination with G-CSF on survival rates and cardiac remodelling after acute myocardial infarction. Journal of the American College of Cardiology. 68(18). B74–B74. 4 indexed citations
10.
Berenson, James R., et al.. (2009). A phase II study of a 1-hour infusion of romidepsin combined with bortezomib for multiple myeloma (MM) patients with relapsed or refractory disease. Journal of Clinical Oncology. 27(15_suppl). e19508–e19508. 7 indexed citations
11.
Cabell, Christopher H., Susan E. Bates, Richard Piekarz, et al.. (2009). Systematic Assessment of Potential Cardiac Effects of the Novel Histone Deacetylase (HDAC) Inhibitor Romidepsin.. Blood. 114(22). 3709–3709. 15 indexed citations
12.
13.
Lu, Chuang, Richard Gallegos, Ping Li, et al.. (2006). INVESTIGATION OF DRUG-DRUG INTERACTION POTENTIAL OF BORTEZOMIB IN VIVO IN FEMALE SPRAGUE-DAWLEY RATS AND IN VITRO IN HUMAN LIVER MICROSOMES. Drug Metabolism and Disposition. 34(4). 702–708. 28 indexed citations
14.
Daniels, J. Scott, Jason Labutti, Ian Parsons, et al.. (2005). HUMAN METABOLISM OF THE PROTEASOME INHIBITOR BORTEZOMIB: IDENTIFICATION OF CIRCULATING METABOLITES. Drug Metabolism and Disposition. 33(6). 771–777. 117 indexed citations
15.
Jagannath, Sundar, Bart Barlogie, James R. Berenson, et al.. (2005). Bortezomib in recurrent and/or refractory multiple myeloma. Cancer. 103(6). 1195–1200. 169 indexed citations
16.
Papandreou, Christos N., Danai Daliani, Darrell Nix, et al.. (2004). Phase I Trial of the Proteasome Inhibitor Bortezomib in Patients With Advanced Solid Tumors With Observations in Androgen-Independent Prostate Cancer. Journal of Clinical Oncology. 22(11). 2108–2121. 372 indexed citations
17.
Dieterich, Doug, Michael A. Poles, E A Lew, et al.. (1997). Treatment of gastrointestinal cytomegalovirus infection with twice-daily foscarnet: a pilot study of safety, efficacy, and pharmacokinetics in patients with AIDS. Antimicrobial Agents and Chemotherapy. 41(6). 1226–1230. 7 indexed citations
18.
Conner, Dale P., et al.. (1991). Transcutaneous Chemical Collection of Caffeine in Normal Subjects: Relationship to Area Under the Plasma Concentration-Time Curve and Sweat Production. Journal of Investigative Dermatology. 96(2). 186–190. 13 indexed citations
19.
Cook, Jack, Michael H. Silverman, Darrell Nix, et al.. (1990). Multiple-dose pharmacokinetics and safety of oral amifloxacin in healthy volunteers. Antimicrobial Agents and Chemotherapy. 34(6). 974–979. 5 indexed citations
20.
Nix, Darrell, et al.. (1985). Liquid-chromatographic determination of ciprofloxacin in serum and urine.. Clinical Chemistry. 31(5). 684–686. 69 indexed citations

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.

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