Aeisha Rivers

426 total citations
18 papers, 288 citations indexed

About

Aeisha Rivers is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Aeisha Rivers has authored 18 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cancer Research, 9 papers in Oncology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Aeisha Rivers's work include Breast Cancer Treatment Studies (12 papers), Breast Lesions and Carcinomas (5 papers) and Cancer Risks and Factors (3 papers). Aeisha Rivers is often cited by papers focused on Breast Cancer Treatment Studies (12 papers), Breast Lesions and Carcinomas (5 papers) and Cancer Risks and Factors (3 papers). Aeisha Rivers collaborates with scholars based in United States and India. Aeisha Rivers's co-authors include Roshni Rao, Barbara Haley, Asal Rahimi, K. Thomas, Lisa A. Newman, Ann Spangler, Michael S. Sabel, Kelly K. Hunt, Marilyn Leitch and Seema A. Khan and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Clinical Cancer Research.

In The Last Decade

Aeisha Rivers

18 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aeisha Rivers United States 10 163 100 98 58 44 18 288
Chan Seok Yoon South Korea 9 200 1.2× 170 1.7× 102 1.0× 77 1.3× 9 0.2× 19 377
Fuh Yong Wong Singapore 12 161 1.0× 179 1.8× 84 0.9× 49 0.8× 14 0.3× 49 343
Preeti Subhedar United States 12 240 1.5× 247 2.5× 115 1.2× 108 1.9× 10 0.2× 29 448
H.-O. Adami Sweden 6 263 1.6× 163 1.6× 146 1.5× 88 1.5× 44 1.0× 10 386
Carolin Nestle-Krämling Germany 8 165 1.0× 102 1.0× 77 0.8× 62 1.1× 35 0.8× 14 258
M.J. Mitchell United Kingdom 4 263 1.6× 205 2.0× 127 1.3× 33 0.6× 13 0.3× 4 334
Valérie Théberge Canada 7 151 0.9× 128 1.3× 67 0.7× 39 0.7× 36 0.8× 19 271
Nathan Coombs Australia 12 352 2.2× 210 2.1× 241 2.5× 124 2.1× 46 1.0× 18 529
Ann Spangler United States 10 127 0.8× 107 1.1× 44 0.4× 101 1.7× 106 2.4× 32 311
R. Cochrane United Kingdom 8 329 2.0× 100 1.0× 201 2.1× 296 5.1× 16 0.4× 12 459

Countries citing papers authored by Aeisha Rivers

Since Specialization
Citations

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

Fields of papers citing papers by Aeisha Rivers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aeisha Rivers

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

All Works

18 of 18 papers shown
1.
Allicock, Marlyn, Darla E. Kendzor, Kelley Pettee Gabriel, et al.. (2020). A Pilot and Feasibility Mobile Health Intervention to Support Healthy Behaviors in African American Breast Cancer Survivors. Journal of Racial and Ethnic Health Disparities. 8(1). 157–165. 26 indexed citations
2.
Rahimi, Asal, Osama Mohamad, Kevin Albuquerque, et al.. (2019). Novel hyaluronan formulation for preventing acute skin reactions in breast during radiotherapy: a randomized clinical trial. Supportive Care in Cancer. 28(3). 1481–1489. 9 indexed citations
3.
Mokdad, Ali H., Nancy Puzziferri, Stephen Seiler, et al.. (2018). Mammographic density changes in surgical weight loss-an indication for personalized screening. BMC Medical Imaging. 18(1). 10–10. 7 indexed citations
4.
Thomas, K., Roshni Rao, Abu Minhajuddin, et al.. (2017). Constructing a Clinicopathologic Prognostic Model for Triple-Negative Breast Cancer. 13(1). 3 indexed citations
5.
Rahimi, Asal, K. Thomas, Ann Spangler, et al.. (2017). Preliminary Results of a Phase 1 Dose-Escalation Trial for Early-Stage Breast Cancer Using 5-Fraction Stereotactic Body Radiation Therapy for Partial-Breast Irradiation. International Journal of Radiation Oncology*Biology*Physics. 98(1). 196–205.e2. 49 indexed citations
6.
Mokdad, Ali A., Stephen Seiler, Aeisha Rivers, et al.. (2017). Bracketed radioactive seed localization vs bracketed wire-localization in breast surgery. The Breast Journal. 24(2). 161–166. 9 indexed citations
7.
Rao, Roshni, Aeisha Rivers, Asal Rahimi, et al.. (2016). Genetic Ancestry using Mitochondrial DNA in patients with Triple‐negative breast cancer (GAMiT study). Cancer. 123(1). 107–113. 6 indexed citations
8.
Thomas, K., Asal Rahimi, Roshni Rao, et al.. (2016). Aspirin/antiplatelet agent use improves disease-free survival and reduces the risk of distant metastases in Stage II and III triple-negative breast cancer patients. Breast Cancer Research and Treatment. 161(3). 463–471. 31 indexed citations
9.
Rahimi, Asal, K. Thomas, Ann Spangler, et al.. (2016). Phase 1 Dose Escalation Trial Using 5-Fraction Stereotactic Body Radiation Therapy For Partial Breast Irradiation (S-PBI). International Journal of Radiation Oncology*Biology*Physics. 96(2). S7–S8. 1 indexed citations
10.
Huth, James F., et al.. (2015). Impact of weight change during neoadjuvant chemotherapy on pathologic response in triple‐negative breast cancer. Cancer Medicine. 4(4). 500–506. 13 indexed citations
11.
Rahimi, Asal, Ann Spangler, Dan Garwood, et al.. (2015). Phase I dose escalation trial using stereotactic body radiation therapy (SBRT) for partial breast irradiation (PBI).. Journal of Clinical Oncology. 33(15_suppl). 1057–1057. 2 indexed citations
12.
Khan, Seema A., et al.. (2011). Office Ductoscopy for Surgical Selection in Women with Pathologic Nipple Discharge. Annals of Surgical Oncology. 18(13). 3785–3790. 12 indexed citations
13.
Vicini, Frank A., Chirag Shah, Michelle Wallace, et al.. (2011). Strategies for Reducing Cancer Incidence and Mortality in African American and Arab American and Chaldean Communities in the Detroit Metropolitan Area. American Journal of Clinical Oncology. 35(4). 316–321. 6 indexed citations
14.
15.
Fackler, Mary Jo, Aeisha Rivers, Wei Wen Teo, et al.. (2009). Hypermethylated Genes as Biomarkers of Cancer in Women with Pathologic Nipple Discharge. Clinical Cancer Research. 15(11). 3802–3811. 38 indexed citations
16.
Rivers, Aeisha & Nora Hansen. (2007). Axillary Management After Sentinel Lymph Node Biopsy in Breast Cancer Patients. Surgical Clinics of North America. 87(2). 365–377. 6 indexed citations
17.
Rivers, Aeisha, Kent A. Griffith, Kelly K. Hunt, et al.. (2005). Clinicopathologic Features Associated With Having Four or More Metastatic Axillary Nodes in Breast Cancer Patients With a Positive Sentinel Lymph Node. Annals of Surgical Oncology. 13(1). 36–44. 51 indexed citations
18.
Rivers, Aeisha & Lisa A. Newman. (2005). Ductal lavage for breast cancer risk assessment. Surgical Oncology Clinics of North America. 14(1). 45–68. 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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