Steven Novick

2.1k total citations · 1 hit paper
28 papers, 1.4k citations indexed

About

Steven Novick is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Steven Novick has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hematology, 10 papers in Genetics and 9 papers in Molecular Biology. Recurrent topics in Steven Novick's work include Chronic Lymphocytic Leukemia Research (10 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Acute Lymphoblastic Leukemia research (5 papers). Steven Novick is often cited by papers focused on Chronic Lymphocytic Leukemia Research (10 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Acute Lymphoblastic Leukemia research (5 papers). Steven Novick collaborates with scholars based in United States, Switzerland and Germany. Steven Novick's co-authors include Steven L. Soignet, Stephanie Stahl, Beverly S. Mitchell, Mary Jo Lehman, Roberto Guerciolini, Jessica Anderson, Thomas C. Shea, Julian Adams, Thomas E. Stinchcombe and Dixie‐Lee Esseltine and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Oncogene.

In The Last Decade

Steven Novick

27 papers receiving 1.4k citations

Hit Papers

Phase I Trial of the Proteasome Inhibitor PS-341 in Patie... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers

Steven Novick
Chetasi Talati United States
Kathy Chun Canada
Norma E. Fox United States
Z Estrov United States
Kevin Yee United States
Francesco Turturro United States
Dixie‐Lee Esseltine United States
Joseph M. Gozgit United States
Steven Novick
Citations per year, relative to Steven Novick Steven Novick (= 1×) peers Miyuki Akutsu

Countries citing papers authored by Steven Novick

Since Specialization
Citations

This map shows the geographic impact of Steven Novick'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 Steven Novick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Novick more than expected).

Fields of papers citing papers by Steven Novick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven Novick. 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 Steven Novick. The network helps show where Steven Novick may publish in the future.

Co-authorship network of co-authors of Steven Novick

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Novick. A scholar is included among the top collaborators of Steven Novick 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 Steven Novick. Steven Novick 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.
Shepard, Dale R., Patricia LoRusso, Leonard J. Appleman, et al.. (2024). Phase 1 study (NCT04931823) of CPO100 (albumin bound docetaxel) in patients with advanced solid tumors.. Journal of Clinical Oncology. 42(16_suppl). 3027–3027. 1 indexed citations
2.
Usmani, Saad Z., Jesús G. Berdeja, Anna Truppel-Hartmann, et al.. (2020). KarMMa-4: Idecabtagene Vicleucel (ide-cel, bb2121), a BCMA-Directed CAR T-Cell Therapy, in High-Risk Newly Diagnosed Multiple Myeloma. Blood. 136(Supplement 1). 18–19. 19 indexed citations
3.
Delforge, Michel, Rachid Baz, Michèle Cavo, et al.. (2020). KarMMa-3: A Phase 3 Study of Idecabtagene Vicleucel (ide-cel, bb2121), a BCMA-Directed CAR T Cell Therapy Vs Standard Regimens in Relapsed and Refractory Multiple Myeloma. Blood. 136(Supplement 1). 24–25. 17 indexed citations
4.
Hochhaus, Andreas, Michele Baccarani, Francis J. Giles, et al.. (2015). Nilotinib in patients with systemic mastocytosis: analysis of the phase 2, open-label, single-arm nilotinib registration study. Journal of Cancer Research and Clinical Oncology. 141(11). 2047–2060. 44 indexed citations
5.
Blay, Jean‐Yves, Lin Shen, Yoon‐Koo Kang, et al.. (2015). Nilotinib versus imatinib as first-line therapy for patients with unresectable or metastatic gastrointestinal stromal tumours (ENESTg1): a randomised phase 3 trial. The Lancet Oncology. 16(5). 550–560. 80 indexed citations
6.
Zhang, Hefei, et al.. (2014). Inhibitory effect of single and repeated doses of nilotinib on the pharmacokinetics of CYP3A substrate midazolam. The Journal of Clinical Pharmacology. 55(4). 401–408. 15 indexed citations
7.
Hochhaus, Andreas, Philipp D. le Coutre, Hagop M. Kantarjian, et al.. (2013). Effect of the tyrosine kinase inhibitor nilotinib in patients with hypereosinophilic syndrome/chronic eosinophilic leukemia: analysis of the phase 2, open-label, single-arm A2101 study. Journal of Cancer Research and Clinical Oncology. 139(12). 1985–1993. 7 indexed citations
8.
Blay, Jean‐Yves, Lin Shen, Yoon‐Koo Kang, et al.. (2013). Phase III trial of nilotinib versus imatinib as first-line targeted therapy of advanced gastrointestinal stromal tumors (GIST).. Journal of Clinical Oncology. 31(15_suppl). 10501–10501. 9 indexed citations
9.
Giles, Francis J., Philipp D. le Coutre, Javier Pinilla‐Ibarz, et al.. (2012). Nilotinib in imatinib-resistant or imatinib-intolerant patients with chronic myeloid leukemia in chronic phase: 48-month follow-up results of a phase II study. Leukemia. 27(1). 107–112. 177 indexed citations
10.
Yin, Ophelia, Véronique Bédoucha, Tracey McCulloch, et al.. (2012). Effects of famotidine or an antacid preparation on the pharmacokinetics of nilotinib in healthy volunteers. Cancer Chemotherapy and Pharmacology. 71(1). 219–226. 9 indexed citations
11.
Coutre, Philipp D. le, Francis J. Giles, Javier Pinilla‐Ibarz, et al.. (2011). Nilotinib in Imatinib-Resistant or -Intolerant Patients (pts) with Chronic Myeloid Leukemia in Chronic Phase (CML-CP): 48-Month Follow-up Results of a Phase 2 Study,. Blood. 118(21). 3770–3770. 10 indexed citations
13.
Julian, Thomas B., et al.. (2007). Phase 1 Assessment of an Orally Bioavailable Formulation of Gallium Nitrate (G4544).. Blood. 110(11). 4455–4455. 1 indexed citations
14.
Marcucci, Guido, Wendy Stock, Guowei Dai, et al.. (2005). Phase I Study of Oblimersen Sodium, an Antisense to Bcl-2, in Untreated Older Patients With Acute Myeloid Leukemia: Pharmacokinetics, Pharmacodynamics, and Clinical Activity. Journal of Clinical Oncology. 23(15). 3404–3411. 112 indexed citations
16.
O’Brien, Susan, et al.. (2005). Phase I to II Multicenter Study of Oblimersen Sodium, a Bcl-2 Antisense Oligonucleotide, in Patients With Advanced Chronic Lymphocytic Leukemia. Journal of Clinical Oncology. 23(30). 7697–7702. 147 indexed citations
17.
Wieder, Robert, Steven Novick, Bruce W. Hollis, et al.. (2003). Pharmacokinetics and safety of ILX23-7553, a non-calcemic-vitamin D3 analogue, in a phase I study of patients with advanced malignancies. Investigational New Drugs. 21(4). 445–452. 15 indexed citations
19.
Orlowski, Robert Z., Thomas E. Stinchcombe, Beverly S. Mitchell, et al.. (2002). Phase I Trial of the Proteasome Inhibitor PS-341 in Patients With Refractory Hematologic Malignancies. Journal of Clinical Oncology. 20(22). 4420–4427. 586 indexed citations breakdown →
20.
D’Adamo, David R., et al.. (1997). rsc: a novel oncogene with structural and functional homology with the gene family of exchange factors for Ral. Oncogene. 14(11). 1295–1305. 49 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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