Latha Ramdas
- Molecular Biology top 10%
- Cancer Research top 5%
- Oncology top 10%
- Immunology
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Limei HuBarry T. NallRaymond J.A. BuddeKevin R. CoombesPeng HuangJennifer S. CarewWeiping ShenStanley R. Hamilton
- Topics
- HER2/EGFR in Cancer Research (7 papers)Protein Kinase Regulation and GTPase Signaling (6 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- United StatesJapanSpain
In The Last Decade
Latha Ramdas
45 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.2k
- Cancer Research 413
- Oncology 245
- Immunology 117
- Endocrinology, Diabetes and Metabolism 110
Countries citing papers authored by Latha Ramdas
This map shows the geographic impact of Latha Ramdas'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 Latha Ramdas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Latha Ramdas more than expected).
Fields of papers citing papers by Latha Ramdas
This network shows the impact of papers produced by Latha Ramdas. 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 Latha Ramdas. The network helps show where Latha Ramdas may publish in the future.
Co-authorship network of co-authors of Latha Ramdas
This figure shows the co-authorship network connecting the top 25 collaborators of Latha Ramdas. A scholar is included among the top collaborators of Latha Ramdas 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 Latha Ramdas. Latha Ramdas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 112 | |
| 3 | 28 | |
| 4 | 20 | |
| 5 | 39 | |
| 6 | Combination of 5-Fluorouracil and N1, N11-diethylnorspermine markedly activates spermidine/spermine N1-acetyltransferase expression, depletes polyamines, and synergistically induces apoptosis in colon carcinoma cells | 0 |
| 7 | 25 | |
| 8 | 18 | |
| 9 | 27 | |
| 10 | 33 | |
| 11 | 16 | |
| 12 | 7 | |
| 13 | 9 | |
| 14 | The degree of inhibition of protein tyrosine kinase activity by tyrphostin 23 and 25 is related to their instability. | 30 |
| 15 | 27 | |
| 16 | 39 | |
| 17 | 24 | |
| 18 | 35 | |
| 19 | 18 | |
| 20 | 14 |
About Latha Ramdas
Latha Ramdas is a scholar working on Molecular Biology, Oncology and Gastroenterology, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Cancer Research (413 citations), Molecular Biology (1.2k citations) and Oncology (245 citations). Latha Ramdas has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Limei Hu, Barry T. Nall, Raymond J.A. Budde, Kevin R. Coombes, Peng Huang, Jennifer S. Carew, Weiping Shen, Stanley R. Hamilton, Hélène Pelicano and William Plunkett. 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.