Aeisha Rivers

19 papers receiving 334 citations

Peers

Aeisha Rivers
Comparison fields: 5 of 51
  • Cancer Research 163
  • Pathology and Forensic Medicine 65
  • Oncology 79
  • Radiation 22
  • Radiology, Nuclear Medicine and Imaging 27
Replace Luc J.E.E. Scheijmans with:
Luc J.E.E. Scheijmans Netherlands
Donna Mates Canada
Caroline Daveau France
Krystine Lupe Canada
Glenys Round New Zealand
Diana N. Amaya United States
J.A. Broomfield Canada
Anupam Chaudhuri Australia
Beverly Lester Canada
David Hodson United Kingdom
Aeisha Rivers relative to Luc J.E.E. Scheijmans Netherlands Luc J.E.E. Scheijmans's profile →
Citations per field
00.5×1.5×
Luc J.E.E. Scheijmans · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Aeisha Rivers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aeisha Rivers Line = papers co-authored together Aeisha Rivers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200557
2 201756
3 200942
4 201633
5 202029
6 201020
7 201514
8 201113
9 202113
10 200711
11 202010
12 201710
13 20199
14 20117
15 20187
16 20167
17
Constructing a Clinicopathologic Prognostic Model for Triple-Negative Breast Cancer
20173
18 20151
19 20161
20 20051

About Aeisha Rivers

Aeisha Rivers is a scholar working on Cancer Research, Pathology and Forensic Medicine, Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 344 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), Breast Lesions and Carcinomas (6 papers), Cancer Risks and Factors (2 papers), Metastasis and carcinoma case studies (1 paper), Medical Imaging Techniques and Applications (1 paper), Nonmelanoma Skin Cancer Studies (1 paper), Cancer and Skin Lesions (1 paper) and Breast Implant and Reconstruction (1 paper). The work is most often cited by research in Cancer Research (163 citations), Pathology and Forensic Medicine (65 citations), Oncology (79 citations), Radiation (22 citations) and Radiology, Nuclear Medicine and Imaging (27 citations). Aeisha Rivers has collaborated with scholars based in United States and India. Frequent co-authors include Roshni Rao, Nora M Hansen, Barbara Haley, Asal Shoushtari Rahimi, Seema Ahsan Khan, Alfred E. Chang, Amy C. Degnim, Kent A. Griffith, Kelly K. Hunt and Kathleen M. Diehl. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Annals of Surgical Oncology, Cancer, Breast Cancer Research and Treatment and Supportive Care in Cancer.

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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