Milton W. Datta
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 5%
- Cancer Research top 5%
- Surgery top 10%
- Co-authors
- Sumana DattaAna HernándezPilar Sánchez‐GómezAriel Ruiz i AltabaBarbara SteccaMercedes BeynaSantanu DattaRobert H. Young
- Topics
- Molecular Biology Techniques and Applications (9 papers)Prostate Cancer Treatment and Research (9 papers)Testicular diseases and treatments (8 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchThe Journal of Experimental Medicine
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Milton W. Datta
61 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.4k
- Pulmonary and Respiratory Medicine 608
- Oncology 468
- Cancer Research 349
- Surgery 340
Countries citing papers authored by Milton W. Datta
This map shows the geographic impact of Milton W. Datta'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 Milton W. Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milton W. Datta more than expected).
Fields of papers citing papers by Milton W. Datta
This network shows the impact of papers produced by Milton W. Datta. 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 Milton W. Datta. The network helps show where Milton W. Datta may publish in the future.
Co-authorship network of co-authors of Milton W. Datta
This figure shows the co-authorship network connecting the top 25 collaborators of Milton W. Datta. A scholar is included among the top collaborators of Milton W. Datta 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 Milton W. Datta. Milton W. Datta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 36 | |
| 6 | 65 | |
| 7 | 42 | |
| 8 | 240 | |
| 9 | CXCR5-CXCL13 expression regulates cellular mechanisms involved in prostate cancer cell invasion and correlates with prostate cancer progression | 1 |
| 10 | 71 | |
| 11 | 18 | |
| 12 | 76 | |
| 13 | 423 | |
| 14 | 2 | |
| 15 | 8 | |
| 16 | 21 | |
| 17 | 21 | |
| 18 | 41 | |
| 19 | 40 | |
| 20 | 16 |
About Milton W. Datta
Milton W. Datta is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 61 papers that have together received 2.3k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (9 papers), Prostate Cancer Treatment and Research (9 papers) and Testicular diseases and treatments (8 papers). The work is most often cited by research in Cancer Research (349 citations), Molecular Biology (1.4k citations) and Pulmonary and Respiratory Medicine (608 citations). Milton W. Datta has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Sumana Datta, Ana Hernández, Pilar Sánchez‐Gómez, Ariel Ruiz i Altaba, Barbara Stecca, Mercedes Beyna, Santanu Datta, Robert H. Young, Mahul B. Amin and Rajiv Dhir. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Experimental Medicine.
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.