Uma Mallya
Impact in
- Genetics top 5%
- Genetics and Neurodevelopmental Disorders
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
- Genetics 8
- Genetics and Neurodevelopmental Disorders 8
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
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- Protein Degradation and Inhibitors 2
- Ubiquitin and proteasome pathways 2
- Co-authors
- John W. R. Schwabe (1 shared paper)Vengalil Krishna Chatterjee (1 shared paper)Mireille Castanet (1 shared paper)Stephanie Demuth (1 shared paper)Erik Schoenmakers (1 shared paper)Frances Lucy Raymond (1 shared paper)Mark Gurnell (1 shared paper)Maura Agostini (1 shared paper)
- Journals
- The American Journal of Human Genetics (5 papers)Nature Genetics (2 papers)PLoS ONE (2 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Uma Mallya
10 papers receiving 1.3k citations
Uma Mallya's Hit Papers
Peers
Comparison fields: 5 of 74
- Genetics 628
- Cell Biology 256
- Molecular Biology 848
- Neurology 85
- Cellular and Molecular Neuroscience 178
Countries citing papers authored by Uma Mallya
This map shows the geographic impact of Uma Mallya'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 Mallya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma Mallya more than expected).
Fields of papers citing papers by Uma Mallya
This network shows the impact of papers produced by Uma Mallya. 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 Mallya. The network helps show where Uma Mallya may publish in the future.
Co-authors
The 20 scholars most cited alongside Uma Mallya, 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 | A systematic, large-scale resequencing screen of X-chromosome coding exons in mental retardation Hit paper breakdown → | 2009 | 508 |
| 2 | 2007 | 197 | |
| 3 | 2006 | 157 | |
| 4 | 2004 | 145 | |
| 5 | 2007 | 140 | |
| 6 | 2006 | 98 | |
| 7 | 2007 | 69 | |
| 8 | 2010 | 42 | |
| 9 | 2014 | 24 | |
| 10 | 2015 | 9 |
About Uma Mallya
Uma Mallya is a scholar working on Genetics, Molecular Biology, Cognitive Neuroscience, Sensory Systems and Neurology, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (8 papers), Autism Spectrum Disorder Research (2 papers), Protein Degradation and Inhibitors (2 papers), Ubiquitin and proteasome pathways (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Child Development and Digital Technology (1 paper), Macrophage Migration Inhibitory Factor (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Genetics (628 citations), Cell Biology (256 citations), Molecular Biology (848 citations), Neurology (85 citations) and Cellular and Molecular Neuroscience (178 citations). Uma Mallya has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include John W. R. Schwabe, Vengalil Krishna Chatterjee, Mireille Castanet, Stephanie Demuth, Erik Schoenmakers, Frances Lucy Raymond, Mark Gurnell, Maura Agostini, Catherine Mitchell and Silvia Lakatošová. Their work appears in journals such as The American Journal of Human Genetics, Nature Genetics, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.