Barbara K. Vonderhaar
- Molecular Biology top 5%
- Oncology top 1%
- Genetics top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Cancer Research top 2%
- Co-authors
- Russell C. HoveyErika GinsburgJosephine F. TrottYale J. TopperRatna BiswasJodie M. FlemingAnita S. GoldharMatthew J. Meyer
- Topics
- Growth Hormone and Insulin-like Growth Factors (44 papers)Estrogen and related hormone effects (35 papers)Cancer Cells and Metastasis (21 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Barbara K. Vonderhaar
114 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 2.2k
- Oncology 1.9k
- Genetics 1.6k
- Endocrinology, Diabetes and Metabolism 1.2k
- Cancer Research 665
Countries citing papers authored by Barbara K. Vonderhaar
This map shows the geographic impact of Barbara K. Vonderhaar'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 K. Vonderhaar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara K. Vonderhaar more than expected).
Fields of papers citing papers by Barbara K. Vonderhaar
This network shows the impact of papers produced by Barbara K. Vonderhaar. 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 K. Vonderhaar. The network helps show where Barbara K. Vonderhaar may publish in the future.
Co-authorship network of co-authors of Barbara K. Vonderhaar
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara K. Vonderhaar. A scholar is included among the top collaborators of Barbara K. Vonderhaar 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 K. Vonderhaar. Barbara K. Vonderhaar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 14 | |
| 3 | 35 | |
| 4 | 35 | |
| 5 | 46 | |
| 6 | 37 | |
| 7 | 67 | |
| 8 | 31 | |
| 9 | 25 | |
| 10 | 70 | |
| 11 | 32 | |
| 12 | 13 | |
| 13 | 39 | |
| 14 | 53 | |
| 15 | 22 | |
| 16 | 74 | |
| 17 | 18 | |
| 18 | 118 | |
| 19 | Binding of opioids to human MCF-7 breast cancer cells and their effects on growth. | 100 |
| 20 | 13 |
About Barbara K. Vonderhaar
Barbara K. Vonderhaar is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Oncology, having authored 114 papers that have together received 4.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (44 papers), Estrogen and related hormone effects (35 papers) and Cancer Cells and Metastasis (21 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Oncology (1.9k citations) and Genetics (1.6k citations). Barbara K. Vonderhaar has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Russell C. Hovey, Erika Ginsburg, Josephine F. Trott, Yale J. Topper, Ratna Biswas, Jodie M. Fleming, Anita S. Goldhar, Matthew J. Meyer, Antoinette E. Greco and Alok Bhattacharya. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
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.