Janice Reed

567 total citations
25 papers, 426 citations indexed

About

Janice Reed is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Janice Reed has authored 25 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hematology, 15 papers in Molecular Biology and 13 papers in Oncology. Recurrent topics in Janice Reed's work include Multiple Myeloma Research and Treatments (21 papers), Protein Degradation and Inhibitors (9 papers) and Cancer Treatment and Pharmacology (7 papers). Janice Reed is often cited by papers focused on Multiple Myeloma Research and Treatments (21 papers), Protein Degradation and Inhibitors (9 papers) and Cancer Treatment and Pharmacology (7 papers). Janice Reed collaborates with scholars based in United States and Egypt. Janice Reed's co-authors include Mary Ann Karam, Rachid Baz, Beth Faiman, Esteban Walker, Mohamad A. Hussein, Gordan Srkalović, Megan Kelly, Steven Andrèsen, Toni K. Choueiri and Robert Knight and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Janice Reed

24 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janice Reed United States 10 307 271 220 71 32 25 426
Valentina Giai Italy 9 197 0.6× 127 0.5× 42 0.2× 132 1.9× 11 0.3× 24 287
Anna Christoforidou Greece 10 100 0.3× 65 0.2× 52 0.2× 55 0.8× 13 0.4× 29 227
Peter A. Forsberg United States 10 199 0.6× 137 0.5× 165 0.8× 30 0.4× 29 0.9× 40 359
M. Puntous France 11 220 0.7× 70 0.3× 95 0.4× 52 0.7× 4 0.1× 34 318
Vlatko Pejša Croatia 10 89 0.3× 61 0.2× 75 0.3× 129 1.8× 13 0.4× 39 264
Irene Ferreira Spain 7 156 0.5× 83 0.3× 157 0.7× 31 0.4× 116 3.6× 11 337
J. Catalano United Kingdom 9 127 0.4× 114 0.4× 68 0.3× 50 0.7× 8 0.3× 14 210
Yasufumi Matsuda Japan 10 65 0.2× 93 0.3× 70 0.3× 26 0.4× 6 0.2× 27 259
C B Begg United States 8 306 1.0× 96 0.4× 138 0.6× 72 1.0× 6 0.2× 9 415
Clemens Leitgeb Austria 8 548 1.8× 121 0.4× 208 0.9× 178 2.5× 2 0.1× 13 639

Countries citing papers authored by Janice Reed

Since Specialization
Citations

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

Fields of papers citing papers by Janice Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janice Reed

This figure shows the co-authorship network connecting the top 25 collaborators of Janice Reed. A scholar is included among the top collaborators of Janice Reed 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 Janice Reed. Janice Reed 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.
Chakraborty, Rajshekhar, et al.. (2020). Real‐world data on safety and efficacy of venetoclax‐based regimens in relapsed/refractory t(11;14) multiple myeloma. British Journal of Haematology. 189(6). 1136–1140. 22 indexed citations
2.
Covut, Fahrettin, Christy Samaras, Faiz Anwer, et al.. (2019). External Validation of the Impede VTE Risk Score in Newly Diagnosed Multiple Myeloma (MM) Patients. Blood. 134(Supplement_1). 3148–3148. 1 indexed citations
3.
Reed, Janice, et al.. (2019). Who Needs What? Perceptions of Patients and Caregivers in Oncology Phase 1 Trials. SHILAP Revista de lepidopterología. 7(1). 27–33. 15 indexed citations
4.
Chakraborty, Rajshekhar, Lisa Rybicki, Janice Reed, et al.. (2019). Real-World Data on Safety and Efficacy of Venetoclax-Based Regimens in Relapsed/Refractory t[11;14] Multiple Myeloma. Blood. 134(Supplement_1). 5566–5566. 2 indexed citations
5.
Lee, Sarah S., Bhumika Patel, Mary Ann Karam, et al.. (2018). Rapid Hematologic and Organ Responses with Daratumumab, Bortezomib and Dexamethasone in Patients with Relapsed/Refractory AL Amyloidosis. Blood. 132(Supplement 1). 2009–2009. 6 indexed citations
6.
Khouri, Jack, Bicky Thapa, Frederic J. Reu, et al.. (2018). Daratumumab proves safe and highly effective in AL amyloidosis. British Journal of Haematology. 185(2). 342–344. 39 indexed citations
7.
Reu, Frederic J., Dale Grabowski, Reda Z. Mahfouz, et al.. (2015). A phase I/II trial of very low to low-dose continuous azacitidine in combination with standard doses of lenalidomide and low-dose dexamethasone in patients with relapsed or refractory multiple myeloma.. Journal of Clinical Oncology. 33(15_suppl). 8584–8584. 2 indexed citations
8.
Narkhede, Mayur, Jason Valent, Chad Cummings, et al.. (2014). Results of an Upfront Myeloma Carepath Pilot with Response-Adapted Therapy. Blood. 124(21). 2620–2620. 2 indexed citations
9.
Horwitz, Leonard, Beth Faiman, Paul Elson, et al.. (2012). A Prospective, Randomized, Chemoprevention Trial of Celecoxib for High Risk Monoclonal Gammopathy of Undetermined Significance and Asymptomatic Multiple Myeloma. Blood. 120(21). 5045–5045. 1 indexed citations
11.
Lazaryan, Aleksandr, Alan Lichtin, Keith R. McCrae, et al.. (2010). Bortezomib for ITP: First Report of Successful Treatment of Refractory ITP In a Patient with Otherwise Asymptomatic Monoclonal Gammopathy. Blood. 116(21). 4667–4667. 3 indexed citations
12.
Baz, Rachid, Suzanne Fanning, Lori Kunkel, et al.. (2007). Combination of rituximab and oral melphalan and prednisone in newly diagnosed multiple myeloma. Leukemia & lymphoma. 48(12). 2338–2344. 11 indexed citations
13.
Baz, Rachid, Esteban Walker, Mohamed A. Karam, et al.. (2006). Lenalidomide and pegylated liposomal doxorubicin-based chemotherapy for relapsed or refractory multiple myeloma: safety and efficacy. Annals of Oncology. 17(12). 1766–1771. 116 indexed citations
14.
Hussein, Mohamad A., Rachid Baz, Gordan Srkalović, et al.. (2006). Phase 2 Study of Pegylated Liposomal Doxorubicin, Vincristine, Decreased-Frequency Dexamethasone, and Thalidomide in Newly Diagnosed and Relapsed-Refractory Multiple Myeloma. Mayo Clinic Proceedings. 81(7). 889–895. 84 indexed citations
15.
Abou-Jawde, Rony M., Janice Reed, Megan Kelly, et al.. (2006). Efficacy and Safety Results with the Combination Therapy of Arsenic Trioxide, Dexamethasone, and Ascorbic Acid in Multiple Myeloma Patients: A Phase 2 Trial. Medical Oncology. 23(2). 263–272. 33 indexed citations
16.
Abou-Jawde, Rony M., Rachid Baz, Esteban Walker, et al.. (2006). The role of race, socioeconomic status, and distance traveled on the outcome of African-American patients with multiple myeloma.. PubMed. 91(10). 1410–3. 24 indexed citations
17.
Baz, Rachid, Megan Kelly, Janice Reed, et al.. (2006). Phase II study of dexamethasone, ascorbic acid, thalidomide and arsenic trioxide (DATA) in high risk previously untreated (PU) and relapsed/refractory (RR) multiple myeloma (MM). Journal of Clinical Oncology. 24(18_suppl). 17535–17535. 3 indexed citations
20.

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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