Barbara J. Tennent
- Immunology top 5%
- Genetics top 5%
- Reproductive Medicine top 2%
- Molecular Biology
- Oncology top 10%
- Co-authors
- Erla R. SmithJulian M. DavidsonL E MobraatenLeonard D. ShultzSarah McKennaT. V. RajanPeter A. SchweitzerDale L. Greiner
- Topics
- Ovarian cancer diagnosis and treatment (7 papers)Estrogen and related hormone effects (4 papers)Hormonal Regulation and Hypertension (4 papers)
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Barbara J. Tennent
19 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Immunology 487
- Genetics 390
- Reproductive Medicine 380
- Molecular Biology 371
- Oncology 298
Countries citing papers authored by Barbara J. Tennent
This map shows the geographic impact of Barbara J. Tennent'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 Barbara J. Tennent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara J. Tennent more than expected).
Fields of papers citing papers by Barbara J. Tennent
This network shows the impact of papers produced by Barbara J. Tennent. 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 Barbara J. Tennent. The network helps show where Barbara J. Tennent may publish in the future.
Co-authorship network of co-authors of Barbara J. Tennent
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara J. Tennent. A scholar is included among the top collaborators of Barbara J. Tennent 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 Barbara J. Tennent. Barbara J. Tennent is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 18 | |
| 6 | 8 | |
| 7 | Multigenic and imprinting control of ovarian granulosa cell tumorigenesis in mice. | 21 |
| 8 | Multiple defects in innate and adaptive immunologic function in NOD/LtSz- scid mice.breakdown → | 972 |
| 9 | Granulosa cell tumorigenesis in genetically hypogonadal-immunodeficient mice grafted with ovaries from tumor-susceptible donors. | 26 |
| 10 | Genetic susceptibility for C19 androgen induction of ovarian granulosa cell tumorigenesis in SWXJ strains of mice. | 19 |
| 11 | 16 | |
| 12 | 6 | |
| 13 | Induction of ovarian granulosa cell tumors in SWXJ-9 mice with dehydroepiandrosterone. | 37 |
| 14 | Gene for ovarian granulosa cell tumor susceptibility, Gct, in SWXJ recombinant inbred strains of mice revealed by dehydroepiandrosterone. | 14 |
| 15 | 22 | |
| 16 | 5 | |
| 17 | 28 | |
| 18 | 47 | |
| 19 | 118 | |
| 20 | 306 |
About Barbara J. Tennent
Barbara J. Tennent is a scholar working on Reproductive Medicine, Aging and Behavioral Neuroscience, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (7 papers), Estrogen and related hormone effects (4 papers) and Hormonal Regulation and Hypertension (4 papers). The work is most often cited by research in Reproductive Medicine (380 citations), Behavioral Neuroscience (143 citations) and Immunology (487 citations). Barbara J. Tennent has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Erla R. Smith, Julian M. Davidson, L E Mobraaten, Leonard D. Shultz, Sarah McKenna, T. V. Rajan, Peter A. Schweitzer, Dale L. Greiner, Isabelle B. Schweitzer and Bruce Gott. Their work appears in journals such as The Journal of Immunology, Endocrinology and Genome Research.
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.