Anuradha Waghray
- Co-authors
- Mukta M. WebberDiana BelloYong Q. ChenMegan S. SchoberJeffrey B. VirginFeng YaoLucia SchugerDaniel Keppler
- Topics
- Protease and Inhibitor Mechanisms (5 papers)Cell Adhesion Molecules Research (3 papers)Prostate Cancer Treatment and Research (3 papers)
- Partner nations
- United States
In The Last Decade
Anuradha Waghray
10 papers receiving 477 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 233
- Pulmonary and Respiratory Medicine 191
- Cancer Research 123
- Oncology 97
- Genetics 53
Countries citing papers authored by Anuradha Waghray
This map shows the geographic impact of Anuradha Waghray'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 Anuradha Waghray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anuradha Waghray more than expected).
Fields of papers citing papers by Anuradha Waghray
This network shows the impact of papers produced by Anuradha Waghray. 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 Anuradha Waghray. The network helps show where Anuradha Waghray may publish in the future.
Co-authorship network of co-authors of Anuradha Waghray
This figure shows the co-authorship network connecting the top 25 collaborators of Anuradha Waghray. A scholar is included among the top collaborators of Anuradha Waghray 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 Anuradha Waghray. Anuradha Waghray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 59 | |
| 3 | 61 | |
| 4 | 3 | |
| 5 | Identification of differentially expressed genes by serial analysis of gene expression in human prostate cancer. | 75 |
| 6 | Growth of human nondiploid primary prostate tumor epithelial cells in vitro. | 8 |
| 7 | Retinoic acid modulates extracellular urokinase-type plasminogen activator activity in DU-145 human prostatic carcinoma cells. | 19 |
| 8 | Prostate-specific antigen, a serine protease, facilitates human prostate cancer cell invasion. | 180 |
| 9 | 7 | |
| 10 | Urokinase-mediated extracellular matrix degradation by human prostatic carcinoma cells and its inhibition by retinoic acid. | 46 |
About Anuradha Waghray
Anuradha Waghray is a scholar working on Immunology and Allergy, Biochemistry and Cancer Research, having authored 10 papers that have together received 491 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (5 papers), Cell Adhesion Molecules Research (3 papers) and Prostate Cancer Treatment and Research (3 papers). The work is most often cited by research in Cancer Research (123 citations), Immunology and Allergy (41 citations) and Pulmonary and Respiratory Medicine (191 citations). Anuradha Waghray has collaborated with scholars based in United States. Frequent co-authors include Mukta M. Webber, Diana Bello, Yong Q. Chen, Megan S. Schober, Jeffrey B. Virgin, Feng Yao, Lucia Schuger, Daniel Keppler, Bonnie F. Sloane and Ronald L. Hayes. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neurochemistry and PROTEOMICS.
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.