Uma Raju
- Molecular Biology top 10%
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 5%
- Genetics top 5%
- Co-authors
- Luka MilasMortimer LevitzKlaus DittmannClaus MayerH. Peter RodemannRainer KehlbachDavid J. ChenBirgit Fehrenbacher
- Topics
- Cancer-related Molecular Pathways (18 papers)Estrogen and related hormone effects (16 papers)Breast Lesions and Carcinomas (11 papers)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Uma Raju
99 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.2k
- Oncology 1.0k
- Pulmonary and Respiratory Medicine 597
- Cancer Research 484
- Genetics 356
Countries citing papers authored by Uma Raju
This map shows the geographic impact of Uma Raju'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 Uma Raju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma Raju more than expected).
Fields of papers citing papers by Uma Raju
This network shows the impact of papers produced by Uma Raju. 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 Uma Raju. The network helps show where Uma Raju may publish in the future.
Co-authorship network of co-authors of Uma Raju
This figure shows the co-authorship network connecting the top 25 collaborators of Uma Raju. A scholar is included among the top collaborators of Uma Raju 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 Uma Raju. Uma Raju is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Feed fortification for enteral nutrition in low birth weight infants-LBW Formula vs HMF- An RCT | 1 |
| 2 | 57 | |
| 3 | 2 | |
| 4 | 75 | |
| 5 | Human lymphoma cells develop resistance to radiation in the presence of astrocytes in vitro | 3 |
| 6 | 17 | |
| 7 | 2 | |
| 8 | 41 | |
| 9 | 11 | |
| 10 | Tumor bed irradiation enhances sensitivity of A431 tumor xenografts to C225 anti-EGFR antibody | 1 |
| 11 | 103 | |
| 12 | Repression of transcription via cyclin-dependent kinase-9 inhibition is associated with flavopiridol - induced enhancement of radiosensitivity of human esophageal adenocarcinoma cells | 1 |
| 13 | 3 | |
| 14 | Inhibition of DNA-end binding complex formation as a mechanism for celecoxib-induced radioenhancement in human head and neck carcinoma cells | 1 |
| 15 | 22 | |
| 16 | 5 | |
| 17 | 41 | |
| 18 | 6 | |
| 19 | 28 | |
| 20 | 4 |
About Uma Raju
Uma Raju is a scholar working on Cancer Research, Oncology and Endocrine and Autonomic Systems, having authored 102 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (18 papers), Estrogen and related hormone effects (16 papers) and Breast Lesions and Carcinomas (11 papers). The work is most often cited by research in Oncology (1.0k citations), Cancer Research (484 citations) and Otorhinolaryngology (104 citations). Uma Raju has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Luka Milas, Mortimer Levitz, Klaus Dittmann, Claus Mayer, H. Peter Rodemann, Rainer Kehlbach, David J. Chen, Birgit Fehrenbacher, Martin Schaller and Eiko Nakata. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.
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.