Roger J. Waltzman

3.0k total citations · 1 hit paper
36 papers, 1.8k citations indexed

About

Roger J. Waltzman is a scholar working on Hematology, Oncology and Genetics. According to data from OpenAlex, Roger J. Waltzman has authored 36 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hematology, 13 papers in Oncology and 10 papers in Genetics. Recurrent topics in Roger J. Waltzman's work include Erythropoietin and Anemia Treatment (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Chronic Myeloid Leukemia Treatments (5 papers). Roger J. Waltzman is often cited by papers focused on Erythropoietin and Anemia Treatment (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Chronic Myeloid Leukemia Treatments (5 papers). Roger J. Waltzman collaborates with scholars based in United States, United Kingdom and Switzerland. Roger J. Waltzman's co-authors include Jean‐Jacques Kiladjian, Claire Harrison, Deborah Hunter, Tiziano Barbui, Giovanni Barosi, Francisco Cervantes, Mari McQuitty, Viktoriya Stalbovskaya, Haifa Kathrin Al‐Ali and Laurent Knoops and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Roger J. Waltzman

36 papers receiving 1.7k citations

Hit Papers

JAK Inhibition with Ruxolitinib versus Best Available The... 2012 2026 2016 2021 2012 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roger J. Waltzman United States 12 1.2k 1.0k 658 431 368 36 1.8k
Tariq I. Mughal United States 21 788 0.7× 888 0.8× 463 0.7× 353 0.8× 430 1.2× 115 1.7k
Steven Fruchtman United States 20 1.1k 1.0× 1.1k 1.1× 528 0.8× 408 0.9× 133 0.4× 71 1.8k
Miklós Egyed Hungary 17 982 0.9× 1.1k 1.0× 806 1.2× 374 0.9× 318 0.9× 95 1.6k
Jorge Vela‐Ojeda Mexico 19 668 0.6× 1.1k 1.1× 258 0.4× 400 0.9× 346 0.9× 79 1.5k
Deepti Radia United Kingdom 17 1.0k 0.9× 736 0.7× 541 0.8× 567 1.3× 172 0.5× 87 1.7k
Vamsi Kota United States 19 397 0.3× 887 0.8× 397 0.6× 143 0.3× 408 1.1× 156 1.4k
Rolf Billström Sweden 25 473 0.4× 1.2k 1.2× 538 0.8× 156 0.4× 185 0.5× 58 1.7k
Mauro Fiacchini Italy 22 497 0.4× 966 0.9× 454 0.7× 190 0.4× 398 1.1× 57 1.5k
Gaëlle Guillerm France 18 527 0.5× 1.4k 1.3× 768 1.2× 208 0.5× 589 1.6× 66 1.8k
Markus Pfirrmann Germany 22 1.7k 1.5× 1.9k 1.9× 222 0.3× 967 2.2× 227 0.6× 71 2.5k

Countries citing papers authored by Roger J. Waltzman

Since Specialization
Citations

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

Fields of papers citing papers by Roger J. Waltzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roger J. Waltzman. 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 Roger J. Waltzman. The network helps show where Roger J. Waltzman may publish in the future.

Co-authorship network of co-authors of Roger J. Waltzman

This figure shows the co-authorship network connecting the top 25 collaborators of Roger J. Waltzman. A scholar is included among the top collaborators of Roger J. Waltzman 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 Roger J. Waltzman. Roger J. Waltzman 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.
Waltzman, Roger J., Diana L. Hanna, Angela Alistar, et al.. (2024). Preliminary results of a phase 1 study of Decoy20, an intravenous, killed, multiple immune receptor agonist bacterial product in patients with advanced solid tumors.. Journal of Clinical Oncology. 42(16_suppl). 2583–2583. 3 indexed citations
3.
Zodelava, Mamia, Troy H. Guthrie, Thomas Strack, et al.. (2020). A phase II study of MT-3724, a novel CD20-targeting engineered toxin body, to evaluate safety, pharmacodynamics, and efficacy in subjects with relapsed or refractory diffuse large B-cell lymphoma.. Journal of Clinical Oncology. 38(15_suppl). TPS8074–TPS8074. 3 indexed citations
4.
Wainberg, Zev A., Minal Barve, Erika Hamilton, et al.. (2020). A phase I study of the novel immunotoxin, MT-5111, in subjects (subj) with HER-2 positive tumors: Interim results.. Journal of Clinical Oncology. 38(15_suppl). e15567–e15567. 2 indexed citations
6.
Harrison, Claire, Jean‐Jacques Kiladjian, Haifa Kathrin Al‐Ali, et al.. (2012). JAK Inhibition with Ruxolitinib versus Best Available Therapy for Myelofibrosis. New England Journal of Medicine. 366(9). 787–798. 1218 indexed citations breakdown →
8.
Harrison, Claire, Jean‐Jacques Kiladjian, Haifa Kathrin Al‐Ali, et al.. (2011). Health-Related Quality of Life and Symptoms in Myelofibrosis Patients Treated with Ruxolitinib Versus Best Available Therapy. Blood. 118(21). 795–795. 2 indexed citations
9.
Harrison, Claire, Jean‐Jacques Kiladjian, Haifa Kathrin Al‐Ali, et al.. (2011). Results of a randomized study of the JAK inhibitor ruxolitinib (INC424) versus best available therapy (BAT) in primary myelofibrosis (PMF), post-polycythemia vera-myelofibrosis (PPV-MF) or post-essential thrombocythemia-myelofibrosis (PET-MF).. Journal of Clinical Oncology. 29(18_suppl). LBA6501–LBA6501. 22 indexed citations
10.
12.
Davidson, Brad, Diane Blum, David Cella, et al.. (2007). Communicating about chemotherapy-induced anemia.. PubMed. 5(1). 36–40, 46. 11 indexed citations
13.
Waltzman, Roger J., et al.. (2005). Final hematologic results: Epoetin alfa (EPO) 40,000 U QW vs darbepoetin alfa (DARB) 200 μg Q2W in anemic cancer patients (pts) receiving chemotherapy (CT). Journal of Clinical Oncology. 23(16_suppl). 8030–8030. 7 indexed citations
14.
Waltzman, Roger J., Denise Williams, & Patricia S. Braly. (2005). A Pilot Study to Evaluate the Safety and Clinical Outcomes of Once-Weekly Epoetin Alfa 80,000 U in Anemic Patients with Cancer Receiving Chemotherapy. PubMed. 3(1). 47–53. 1 indexed citations
15.
Hamilton, Heidi E., et al.. (2005). Communication regarding chemotherapy-induced anemia and related fatigue: Recommendations from an observational linguistic study. Journal of Clinical Oncology. 23(16_suppl). 8047–8047. 2 indexed citations
16.
Waltzman, Roger J., et al.. (2004). Managing hematologic toxicities.. PubMed. 2(1). 65–79. 8 indexed citations
17.
Waltzman, Roger J.. (2004). Treatment of chemotherapy-related anemia with erythropoietic agents: Current approaches and new paradigms. Seminars in Hematology. 41(4 Suppl 7). 9–16. 6 indexed citations
18.
Hensley, Martee L., Larry Léon, Ennapadam Venkatraman, et al.. (2001). Identification of Risk Factors for Requiring Transfusion during Front-Line Chemotherapy for Ovarian Cancer. Gynecologic Oncology. 81(3). 485–489. 11 indexed citations
19.
Casper, Ephraim S., Roger J. Waltzman, Gary K. Schwartz, et al.. (1998). Phase II Trial of Paclitaxel in Patients with Soft-Tissue Sarcoma. Cancer Investigation. 16(7). 442–446. 88 indexed citations
20.
Aghajanian, Carol, D. Fennelly, F.L. Shapiro, et al.. (1998). Phase II study of "dose-dense" high-dose chemotherapy treatment with peripheral-blood progenitor-cell support as primary treatment for patients with advanced ovarian cancer.. Journal of Clinical Oncology. 16(5). 1852–1860. 39 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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