Mozeena Bano
- Molecular Biology
- Oncology top 10%
- Genetics top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Cancer Research
- Co-authors
- William R. KidwellDavid S. SalomonJames A. ZwiebelIlona LosonczyMarc E. LippmanKouji MatsushimaJoost J. OppenheimGerhard Zugmaier
- Topics
- Cancer Cells and Metastasis (6 papers)Animal Genetics and Reproduction (5 papers)Estrogen and related hormone effects (4 papers)
- Partner nations
- United StatesIndiaSpain
In The Last Decade
Mozeena Bano
20 papers receiving 719 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 374
- Oncology 284
- Genetics 231
- Endocrinology, Diabetes and Metabolism 114
- Cancer Research 75
Countries citing papers authored by Mozeena Bano
This map shows the geographic impact of Mozeena Bano'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 Mozeena Bano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mozeena Bano more than expected).
Fields of papers citing papers by Mozeena Bano
This network shows the impact of papers produced by Mozeena Bano. 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 Mozeena Bano. The network helps show where Mozeena Bano may publish in the future.
Co-authorship network of co-authors of Mozeena Bano
This figure shows the co-authorship network connecting the top 25 collaborators of Mozeena Bano. A scholar is included among the top collaborators of Mozeena Bano 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 Mozeena Bano. Mozeena Bano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 4 | |
| 3 | 18 | |
| 4 | 42 | |
| 5 | 5 | |
| 6 | 22 | |
| 7 | 8 | |
| 8 | Transforming growth factor beta 1 induces cachexia and systemic fibrosis without an antitumor effect in nude mice. | 101 |
| 9 | 14 | |
| 10 | Endocrine therapy of human breast cancer cells: the role of secreted polypeptide growth factors. | 17 |
| 11 | Partial purification of transforming growth factors from human milk. | 67 |
| 12 | 69 | |
| 13 | 62 | |
| 14 | Growth of normal mammary epithelium on collagen in serum-free medium. | 12 |
| 15 | Characterization of rat mammary tumor cell populations. | 14 |
| 16 | Presence of transforming growth factors in human breast cancer cells. | 195 |
| 17 | 36 | |
| 18 | 1 | |
| 19 | 44 | |
| 20 | 29 |
About Mozeena Bano
Mozeena Bano is a scholar working on Toxicology, Genetics and Oncology, having authored 20 papers that have together received 771 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Animal Genetics and Reproduction (5 papers) and Estrogen and related hormone effects (4 papers). The work is most often cited by research in Oncology (284 citations), Immunology and Allergy (53 citations) and Genetics (231 citations). Mozeena Bano has collaborated with scholars based in United States, India and Spain. Frequent co-authors include William R. Kidwell, David S. Salomon, James A. Zwiebel, Ilona Losonczy, Marc E. Lippman, Kouji Matsushima, Joost J. Oppenheim, Gerhard Zugmaier, Ebba Nexø and Ruth Lupu. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and Biochemistry.
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.