Uma Sankar
- Genetics top 5%
- Virus-based gene therapy research 4
- Molecular Biology top 5%
- Bone Metabolism and Diseases 15
- Virology top 5%
- Oncology top 10%
- Bone health and treatments 9
- Cancer-related Molecular Pathways 5
- Cancer Research top 10%
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- Bone health and osteoporosis research 6
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- Osteoarthritis Treatment and Mechanisms 5
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- Bone fractures and treatments 5
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- Hematopoietic Stem Cell Transplantation 4
- Co-authors
- Frank L. GrahamRobin J. ParksMichael A. RudnickiMartina AntonMichael C. OstrowskiJiahuai HanKim C. ManskyAnthony R. Means
- Cited by
- GeneticsMolecular BiologyVirology
- Journals
- Journal of Bone and Mineral Research (4 papers)Osteoarthritis and Cartilage (3 papers)Journal of Visualized Experiments (3 papers)
- Partner nations
- United StatesItalyIndia
In The Last Decade
Uma Sankar
47 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Genetics 656
- Molecular Biology 1.3k
- Virology 82
- Oncology 409
- Cancer Research 174
Countries citing papers authored by Uma Sankar
This map shows the geographic impact of Uma Sankar'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 Sankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma Sankar more than expected).
Fields of papers citing papers by Uma Sankar
This network shows the impact of papers produced by Uma Sankar. 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 Sankar. The network helps show where Uma Sankar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Uma Sankar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 6 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 23 | |
| 11 | 2020 | 33 | |
| 12 | 2018 | 20 | |
| 13 | 2016 | 4 | |
| 14 | 2015 | 1 | |
| 15 | INSECTICIDAL ACTIVITY OF THE ENTOMOPATHOGENIC FUNGUS AND THE STRATEGY OF HORIZONTAL TRANSMISSION FOR CONTROL OF COCKROACHES | 2014 | 0 |
| 16 | 2011 | 11 | |
| 17 | 2011 | 23 | |
| 18 | 2009 | 7 | |
| 19 | 2002 | 197 | |
| 20 | 1998 | 48 |
About Uma Sankar
Uma Sankar is a scholar working on Orthopedics and Sports Medicine, Oncology, Molecular Biology, Hematology and Rheumatology, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (15 papers), Bone health and treatments (9 papers), Bone health and osteoporosis research (6 papers), Cancer-related Molecular Pathways (5 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Bone fractures and treatments (5 papers), Virus-based gene therapy research (4 papers) and Hematopoietic Stem Cell Transplantation (4 papers). The work is most often cited by research in Genetics (656 citations), Molecular Biology (1.3k citations), Virology (82 citations), Oncology (409 citations) and Cancer Research (174 citations). Uma Sankar has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Frank L. Graham, Robin J. Parks, Michael A. Rudnicki, Martina Anton, Michael C. Ostrowski, Jiahuai Han, Kim C. Mansky, Anthony R. Means, Rohini Gomathinayagam and Carole Evelegh. Their work appears in journals such as Journal of Bone and Mineral Research, Osteoarthritis and Cartilage, Journal of Visualized Experiments, Bone 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.