Eva M. Valverius
- Molecular Biology top 10%
- Oncology top 5%
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Cancer Research top 10%
- Co-authors
- Susan E. BatesMartha R. StampferMarc E. LippmanDavid S. SalomonRobert B. DicksonEdward P. GelmannNancy E. DavidsonJames P. Tam
- Topics
- Cancer Cells and Metastasis (12 papers)TGF-β signaling in diseases (10 papers)HER2/EGFR in Cancer Research (9 papers)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Eva M. Valverius
24 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 1.0k
- Oncology 822
- Genetics 452
- Endocrinology, Diabetes and Metabolism 212
- Cancer Research 212
Countries citing papers authored by Eva M. Valverius
This map shows the geographic impact of Eva M. Valverius'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 Eva M. Valverius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva M. Valverius more than expected).
Fields of papers citing papers by Eva M. Valverius
This network shows the impact of papers produced by Eva M. Valverius. 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 Eva M. Valverius. The network helps show where Eva M. Valverius may publish in the future.
Co-authorship network of co-authors of Eva M. Valverius
This figure shows the co-authorship network connecting the top 25 collaborators of Eva M. Valverius. A scholar is included among the top collaborators of Eva M. Valverius 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 Eva M. Valverius. Eva M. Valverius is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 70 | |
| 2 | 33 | |
| 3 | Complementary DNA cloning of a novel epithelial cell marker protein, HME1, that may be down-regulated in neoplastic mammary cells. | 135 |
| 4 | 7 | |
| 5 | 28 | |
| 6 | 118 | |
| 7 | 27 | |
| 8 | 21 | |
| 9 | 43 | |
| 10 | 43 | |
| 11 | Transforming Growth Factor Alpha and its Receptor in Human Mammary Epithelial Cells: Modulation of Epidermal Growth Factor Receptor Function with Oncogenic Transformation | 3 |
| 12 | 20 | |
| 13 | 119 | |
| 14 | 31 | |
| 15 | 20 | |
| 16 | 14 | |
| 17 | 124 | |
| 18 | 124 | |
| 19 | Vimentin rather than keratin expression in some hormone-independent breast cancer cell lines and in oncogene-transformed mammary epithelial cells. | 140 |
| 20 | 381 |
About Eva M. Valverius
Eva M. Valverius is a scholar working on Oncology, Hepatology and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (12 papers), TGF-β signaling in diseases (10 papers) and HER2/EGFR in Cancer Research (9 papers). The work is most often cited by research in Oncology (822 citations), Immunology and Allergy (107 citations) and Genetics (452 citations). Eva M. Valverius has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Susan E. Bates, Martha R. Stampfer, Marc E. Lippman, David S. Salomon, Robert B. Dickson, Robert B. Dickson, Marc E. Lippman, Edward P. Gelmann, Nancy E. Davidson and James P. Tam. Their work appears in journals such as FEBS Letters, Endocrinology and International Journal of 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.