V P Sukhatme
- Co-authors
- Xing CaoChon‐Hwa Tsai‐MorrisA. Julian GarvinDonald A. SensDerek LeRoithGian G. ReHaim WernerCharles T. Roberts
- Topics
- Renal and related cancers (6 papers)RNA modifications and cancer (2 papers)Virus-based gene therapy research (2 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United States
In The Last Decade
V P Sukhatme
15 papers receiving 963 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 722
- Genetics 156
- Oncology 139
- Immunology 132
- Cancer Research 132
Countries citing papers authored by V P Sukhatme
This map shows the geographic impact of V P Sukhatme'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 V P Sukhatme with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V P Sukhatme more than expected).
Fields of papers citing papers by V P Sukhatme
This network shows the impact of papers produced by V P Sukhatme. 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 V P Sukhatme. The network helps show where V P Sukhatme may publish in the future.
Co-authorship network of co-authors of V P Sukhatme
This figure shows the co-authorship network connecting the top 25 collaborators of V P Sukhatme. A scholar is included among the top collaborators of V P Sukhatme 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 V P Sukhatme. V P Sukhatme is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Immortal, developmentally arrested human fetal kidney cell lines created by retroviral expression of human papilloma virus E6 and E7. | 5 |
| 2 | Gene therapy for kidney disease. | 3 |
| 3 | In vivo adenovirus-mediated gene transfer into normal and cystic rat kidneys. | 68 |
| 4 | Expression patterns of immediate early transcription factors in human non-small cell lung cancer. The Lung Cancer Study Group. | 101 |
| 5 | Involvement of serum response element in okadaic acid-induced EGR-1 transcription in human T-cells. | 18 |
| 6 | 16 | |
| 7 | 216 | |
| 8 | Renal development: challenge and opportunity. | 2 |
| 9 | 82 | |
| 10 | Characterization of the zinc finger protein encoded by the WT1 Wilms' tumor locus. | 99 |
| 11 | Phorbol ester-mediated inhibition of growth and regulation of proto-oncogene expression in the human T cell leukemia line JURKAT. | 27 |
| 12 | 58 | |
| 13 | 74 | |
| 14 | 64 | |
| 15 | 142 |
About V P Sukhatme
V P Sukhatme is a scholar working on Molecular Biology, Urology and Cell Biology, having authored 15 papers that have together received 975 indexed citations. Recurring topics across this work include Renal and related cancers (6 papers), RNA modifications and cancer (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Molecular Biology (722 citations), Cancer Research (132 citations) and Immunology (132 citations). V P Sukhatme has collaborated with scholars based in United States. Frequent co-authors include Xing Cao, Chon‐Hwa Tsai‐Morris, A. Julian Garvin, Donald A. Sens, Derek LeRoith, Gian G. Re, Haim Werner, Charles T. Roberts, F. J. Rauscher and Donna Cook. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.