Jennifer Bryant
- Cancer Research top 1%
- Oncology top 2%
- Genetics top 2%
- Molecular Biology
- Pathology and Forensic Medicine top 2%
- Co-authors
- Norman WolmarkE. MamounasB. FisherBernard FisherM J LawmanW. P. TaylorPaul GibbsSoonmyung Paik
- Topics
- Genetic factors in colorectal cancer (4 papers)Breast Cancer Treatment Studies (4 papers)Suicide and Self-Harm Studies (3 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Jennifer Bryant
42 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Cancer Research 1.5k
- Oncology 1.3k
- Genetics 727
- Molecular Biology 544
- Pathology and Forensic Medicine 512
Countries citing papers authored by Jennifer Bryant
This map shows the geographic impact of Jennifer Bryant'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 Jennifer Bryant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Bryant more than expected).
Fields of papers citing papers by Jennifer Bryant
This network shows the impact of papers produced by Jennifer Bryant. 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 Jennifer Bryant. The network helps show where Jennifer Bryant may publish in the future.
Co-authorship network of co-authors of Jennifer Bryant
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Bryant. A scholar is included among the top collaborators of Jennifer Bryant 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 Jennifer Bryant. Jennifer Bryant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 16 | |
| 3 | 18 | |
| 4 | 21 | |
| 5 | 12 | |
| 6 | 13 | |
| 7 | 23 | |
| 8 | 28 | |
| 9 | 58 | |
| 10 | 57 | |
| 11 | 22 | |
| 12 | 75 | |
| 13 | 23 | |
| 14 | Multi-gene Rt-pcr assay for predicting recurrence in node negative breast cancer patients-nsabp studies B-20 and B-14 | 47 |
| 15 | 20 | |
| 16 | 375 | |
| 17 | 456 | |
| 18 | Preoperative Chemotherapy in Patients With Operable Breast Cancer: Nine-Year Results From National Surgical Adjuvant Breast and Bowel Project B-18breakdown → | 990 |
| 19 | 26 | |
| 20 | 15 |
About Jennifer Bryant
Jennifer Bryant is a scholar working on Cancer Research, Oncology and Emergency Medicine, having authored 42 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (4 papers), Breast Cancer Treatment Studies (4 papers) and Suicide and Self-Harm Studies (3 papers). The work is most often cited by research in Cancer Research (1.5k citations), Oncology (1.3k citations) and Pathology and Forensic Medicine (512 citations). Jennifer Bryant has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Norman Wolmark, E. Mamounas, B. Fisher, Bernard Fisher, M J Lawman, W. P. Taylor, Paul Gibbs, Soonmyung Paik, Stewart Anderson and K Park. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and PLoS ONE.
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.