Uma Mallya

1.7k citations
3 papers · 63 · h-index 3

Impact in

    • Genetic Syndromes and Imprinting
    • Genetics and Neurodevelopmental Disorders
    • Genomic variations and chromosomal abnormalities
    • Cognitive and developmental aspects of mathematical skills

Papers in

    • Genetics and Neurodevelopmental Disorders 3
    • Genomic variations and chromosomal abnormalities 1
    • Autism Spectrum Disorder Research 2

Uma Mallya

3 papers receiving 51 citations

Peers

Uma Mallya
Comparison fields: 5 of 27
  • Genetics 40
  • Statistics and Probability 8
  • Cognitive Neuroscience 15
  • Pediatrics, Perinatology and Child Health 13
  • Endocrinology, Diabetes and Metabolism 9
Replace Chin Yang Shapland with:
Chin Yang Shapland United Kingdom
Futao Zhang Australia
Frederico Monfardini Brazil
Ayu Shimasaki Japan
A. Matsen Frederick United States
Hadassa Rodrigues Santos Brazil
Julie McCarrier United States
Paul M. Thompson United States
Alice Dica Romania
Maria Grazia Tibiletti Italy
Uma Mallya relative to Chin Yang Shapland United Kingdom Chin Yang Shapland's profile →
Citations per field
00.5×
Chin Yang Shapland · 1×
Citations per year

Countries citing papers authored by Uma Mallya

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 19 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.

Border = papers with Uma Mallya Line = papers co-authored together Uma Mallya links everyone, so they are left out of the graph.

All Works

About Uma Mallya

Uma Mallya is a scholar working on Genetics, Cognitive Neuroscience, Molecular Biology, Endocrinology, Diabetes and Metabolism and Education, having authored 3 papers that have together received 63 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (3 papers), Autism Spectrum Disorder Research (2 papers), Congenital heart defects research (1 paper), Thyroid Disorders and Treatments (1 paper), Genomic variations and chromosomal abnormalities (1 paper) and Child Development and Digital Technology (1 paper). The work is most often cited by research in Genetics (40 citations), Statistics and Probability (8 citations), Cognitive Neuroscience (15 citations), Pediatrics, Perinatology and Child Health (13 citations) and Endocrinology, Diabetes and Metabolism (9 citations). Uma Mallya has collaborated with scholars based in United Kingdom, Netherlands and Germany. Frequent co-authors include Krishna Chatterjee, John W. R. Schwabe, Erik Schoenmakers, Stephanie Demuth, Maura Agostini, Catherine Mitchell, Mark Gurnell, Mireille Castanet, Karola Rehnström and Silvia Lakatošová. Their work appears in journals such as 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.

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