Rebecca Watters

1.2k total citations
25 papers, 519 citations indexed

About

Rebecca Watters is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Rebecca Watters has authored 25 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Pulmonary and Respiratory Medicine and 10 papers in Oncology. Recurrent topics in Rebecca Watters's work include Sarcoma Diagnosis and Treatment (7 papers), Bone health and treatments (4 papers) and Cancer Genomics and Diagnostics (4 papers). Rebecca Watters is often cited by papers focused on Sarcoma Diagnosis and Treatment (7 papers), Bone health and treatments (4 papers) and Cancer Genomics and Diagnostics (4 papers). Rebecca Watters collaborates with scholars based in United States, China and Saudi Arabia. Rebecca Watters's co-authors include Kurt R. Weiss, Thomas P. Loughran, Steffi Oesterreich, Nolan Priedigkeit, Peter C. Lucas, Ahmed Basudan, Adrian V. Lee, Rohit Bhargava, Adam Brufsky and Ryan J. Hartmaier and has published in prestigious journals such as Cancer Research, Oncogene and Clinical Cancer Research.

In The Last Decade

Rebecca Watters

24 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rebecca Watters United States 12 232 217 211 139 80 25 519
Emily Pittman United States 9 205 0.9× 285 1.3× 126 0.6× 96 0.7× 99 1.2× 22 508
Ryo Yuge Japan 12 159 0.7× 205 0.9× 145 0.7× 105 0.8× 92 1.1× 59 511
Daniela Morales-Espinosa Spain 12 206 0.9× 276 1.3× 190 0.9× 155 1.1× 56 0.7× 25 534
S Hoffarth Germany 11 306 1.3× 224 1.0× 73 0.3× 109 0.8× 69 0.9× 12 565
Yvonne E. Smith Ireland 9 228 1.0× 185 0.9× 140 0.7× 130 0.9× 72 0.9× 10 430
Marzena Walkiewicz Australia 16 241 1.0× 274 1.3× 317 1.5× 89 0.6× 102 1.3× 31 674
Shude Cui China 14 233 1.0× 290 1.3× 139 0.7× 276 2.0× 32 0.4× 42 610
Paris Vail United States 14 260 1.1× 506 2.3× 239 1.1× 203 1.5× 100 1.3× 15 739
Felix Meyer Germany 10 341 1.5× 289 1.3× 117 0.6× 159 1.1× 45 0.6× 20 646
Paula Kroon Netherlands 6 271 1.2× 283 1.3× 98 0.5× 125 0.9× 135 1.7× 10 539

Countries citing papers authored by Rebecca Watters

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca Watters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Watters

This figure shows the co-authorship network connecting the top 25 collaborators of Rebecca Watters. A scholar is included among the top collaborators of Rebecca Watters 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 Rebecca Watters. Rebecca Watters 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.
Belayneh, Rebekah, David N. Boone, Vaidehi Patel, et al.. (2024). RNA-sequencing predicts a role of androgen receptor and aldehyde dehydrogenase 1A1 in osteosarcoma lung metastases. Oncogene. 43(14). 1007–1018.
2.
Patel, Eshan U., Anya M. Litvak, S P Leitner, et al.. (2023). 133P Personalized circulating tumor DNA (ctDNA) during neoadjuvant therapy (NAT) to predict response in patients (pts) with early-stage breast cancer (eBC). ESMO Open. 8(1). 101472–101472. 1 indexed citations
3.
Cillo, Anthony R., Nathanael G. Bailey, Sayali Onkar, et al.. (2022). Ewing Sarcoma and Osteosarcoma Have Distinct Immune Signatures and Intercellular Communication Networks. Clinical Cancer Research. 28(22). 4968–4982. 51 indexed citations
4.
Mandell, Jonathan B., Jan H. Beumer, Jianxia Guo, et al.. (2022). ALDH1A1 Gene Expression and Cellular Copper Levels between Low and Highly Metastatic Osteosarcoma Provide a Case for Novel Repurposing with Disulfiram and Copper. Sarcoma. 2022. 1–12. 5 indexed citations
5.
Smith, Clair, Rebekah Belayneh, Adrian V. Lee, et al.. (2021). Prognostic factors and survival of patients undergoing surgical intervention for breast cancer bone metastases. Journal of bone oncology. 29. 100363–100363. 4 indexed citations
6.
Watters, Rebecca, et al.. (2021). Avenues of research in dietary interventions to target tumor metabolism in osteosarcoma. Journal of Translational Medicine. 19(1). 450–450. 12 indexed citations
7.
Mandell, Jonathan B., et al.. (2020). Do Patient-derived Spheroid Culture Models Have Relevance in Chondrosarcoma Research?. Clinical Orthopaedics and Related Research. 479(3). 477–490. 6 indexed citations
8.
9.
Levine, Kevin M., Nolan Priedigkeit, Ahmed Basudan, et al.. (2019). FGFR4 overexpression and hotspot mutations in metastatic ER+ breast cancer are enriched in the lobular subtype. npj Breast Cancer. 5(1). 19–19. 41 indexed citations
10.
11.
Pore, Subrata K., Eun‐Ryeong Hahm, Su‐Hyeong Kim, et al.. (2019). A Novel Sulforaphane-Regulated Gene Network in Suppression of Breast Cancer–Induced Osteolytic Bone Resorption. Molecular Cancer Therapeutics. 19(2). 420–431. 10 indexed citations
12.
Fourman, Mitchell S., et al.. (2018). Disulfiram reduces metastatic osteosarcoma tumor burden in an immunocompetent Balb/c or-thotopic mouse model. Oncotarget. 9(53). 30163–30172. 11 indexed citations
13.
Basudan, Ahmed, Nolan Priedigkeit, Ryan J. Hartmaier, et al.. (2018). Frequent ESR1 and CDK Pathway Copy-Number Alterations in Metastatic Breast Cancer. Molecular Cancer Research. 17(2). 457–468. 24 indexed citations
14.
15.
Watters, Rebecca, Ryan J. Hartmaier, Hatice U. Osmanbeyoglu, et al.. (2017). Steroid receptor coactivator-1 can regulate osteoblastogenesis independently of estrogen. Molecular and Cellular Endocrinology. 448. 21–27. 1 indexed citations
16.
Priedigkeit, Nolan, Ryan J. Hartmaier, Yijing Chen, et al.. (2016). Intrinsic Subtype Switching and Acquired ERBB2/HER2 Amplifications and Mutations in Breast Cancer Brain Metastases. JAMA Oncology. 3(5). 666–666. 118 indexed citations
17.
Watters, Rebecca, Mark Kester, Melissa Tran, Thomas P. Loughran, & Xin Liu. (2012). Development and Use of Ceramide Nanoliposomes in Cancer. Methods in enzymology on CD-ROM/Methods in enzymology. 508. 89–108. 26 indexed citations
18.
Watters, Rebecca, Todd E. Fox, Su‐Fern Tan, et al.. (2012). Targeting glucosylceramide synthase synergizes with C6-ceramide nanoliposomes to induce apoptosis in natural killer cell leukemia. Leukemia & lymphoma. 54(6). 1288–1296. 32 indexed citations
19.
Watters, Rebecca, Xin Liu, & Thomas P. Loughran. (2011). T-cell and natural killer-cell large granular lymphocyte leukemia neoplasias. Leukemia & lymphoma. 52(12). 2217–2225. 27 indexed citations
20.
Watters, Rebecca, Hong‐Gang Wang, Shen‐Shu Sung, Thomas P. Loughran, & Xin Liu. (2011). Targeting Sphingosine-1-Phosphate Receptors in Cancer. Anti-Cancer Agents in Medicinal Chemistry. 11(9). 810–817. 26 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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