Reid Shaw

1.9k total citations
13 papers, 100 citations indexed

About

Reid Shaw is a scholar working on Cancer Research, Hematology and Oncology. According to data from OpenAlex, Reid Shaw has authored 13 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 5 papers in Hematology and 4 papers in Oncology. Recurrent topics in Reid Shaw's work include Cancer Genomics and Diagnostics (6 papers), Acute Myeloid Leukemia Research (3 papers) and Acute Lymphoblastic Leukemia research (3 papers). Reid Shaw is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Acute Myeloid Leukemia Research (3 papers) and Acute Lymphoblastic Leukemia research (3 papers). Reid Shaw collaborates with scholars based in United States, South Africa and Switzerland. Reid Shaw's co-authors include Carla Grandori, Robert L. Diaz, Rachele Rosati, Kay E. Gurley, Christopher J. Kemp, Elizabeth M. Swisher, Vijayakrishna K. Gadi, Tan A. Ince, Goldie Y.L. Lui and Russell Moser and has published in prestigious journals such as Blood, Cancer Research and Clinical Cancer Research.

In The Last Decade

Reid Shaw

12 papers receiving 99 citations

Peers

Reid Shaw
Rachele Rosati United States
Mona Parmar United Kingdom
Jessica Riceberg United States
J.T. Beck United States
Eric Zhi United States
Tam Tran Switzerland
Errin Samuëlsz United States
Rachele Rosati United States
Reid Shaw
Citations per year, relative to Reid Shaw Reid Shaw (= 1×) peers Rachele Rosati

Countries citing papers authored by Reid Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Reid Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reid Shaw

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

All Works

13 of 13 papers shown
1.
Shaw, Reid, et al.. (2024). Assessing the Predictive Value of Methicillin-Resistant Staphylococcus aureus Nares Colonization Among Transplant Recipients and Patients With Neutropenia. Open Forum Infectious Diseases. 11(7). ofae408–ofae408. 2 indexed citations
2.
Roloff, Gregory W., et al.. (2023). Clinical guideline variability in the diagnosis of hereditary hematopoietic malignancy syndromes. Leukemia & lymphoma. 64(9). 1562–1565. 3 indexed citations
3.
Roloff, Gregory W., et al.. (2023). Stagnation in quality of next‐generation sequencing assays for the diagnosis of hereditary hematopoietic malignancies. Journal of Genetic Counseling. 32(3). 744–749. 4 indexed citations
4.
O’Connor, Timothy E., et al.. (2023). Clinical considerations at the intersection of hematopoietic cell transplantation and hereditary hematopoietic malignancy. Frontiers in Oncology. 13. 1180439–1180439. 2 indexed citations
5.
Shaw, Reid, Timothy E. O’Connor, Gregory W. Roloff, et al.. (2023). Multicenter analysis of immunosuppressive medications on the risk of malignancy following adult solid organ transplantation. Frontiers in Oncology. 13. 1146002–1146002. 3 indexed citations
6.
Shaw, Reid, et al.. (2022). Stacking Machine Learning Algorithms for Biomarker-Based Preoperative Diagnosis of a Pelvic Mass. Cancers. 14(5). 1291–1291. 10 indexed citations
7.
Roloff, Gregory W., Reid Shaw, Timothy E. O’Connor, & Michael W. Drazer. (2022). Stagnation in Quality of Next-Generation Sequencing Assays for the Diagnosis of Hereditary Hematopoietic Malignancies. Blood. 140(Supplement 1). 5090–5091.
8.
Shigeta, Shogo, Goldie Y.L. Lui, Reid Shaw, et al.. (2021). Targeting BET Proteins BRD2 and BRD3 in Combination with PI3K-AKT Inhibition as a Therapeutic Strategy for Ovarian Clear Cell Carcinoma. Molecular Cancer Therapeutics. 20(4). 691–703. 22 indexed citations
9.
Pauli, Chantal, Lara Planas‐Paz, Reid Shaw, et al.. (2021). A Functional Precision Oncology Approach to Identify Treatment Strategies for Myxofibrosarcoma Patients. Zurich Open Repository and Archive (University of Zurich). 5 indexed citations
10.
Lui, Goldie Y.L., Reid Shaw, Franz X. Schaub, et al.. (2020). BET, SRC, and BCL2 family inhibitors are synergistic drug combinations with PARP inhibitors in ovarian cancer. EBioMedicine. 60. 102988–102988. 26 indexed citations
11.
Xu, Chang, Olga Nikolova, Ryan Basom, et al.. (2018). Functional Precision Medicine Identifies Novel Druggable Targets and Therapeutic Options in Head and Neck Cancer. Clinical Cancer Research. 24(12). 2828–2843. 19 indexed citations
12.
Rosati, Rachele, Michael Churchill, Reid Shaw, et al.. (2018). Abstract 1619: Personalized medicine: A CLIA-certified high-throughput drug screening platform for ovarian cancer. Cancer Research. 78(13_Supplement). 1619–1619. 3 indexed citations
13.
Puca, Loredana, Rohan Bareja, Reid Shaw, et al.. (2017). Abstract 992: Patient-derived tumor organoids of neuroendocrine prostate cancer. Cancer Research. 77(13_Supplement). 992–992. 1 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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