Neil Hattangadi

518 citations
3 papers · 347 · h-index 2

Impact in

  • Genetics top 10%
    • Genetic Associations and Epidemiology
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals
    • Forensic and Genetic Research
    • Genetic diversity and population structure
    • Genomic variations and chromosomal abnormalities
    • Race, Genetics, and Society
    • BRCA gene mutations in cancer

Papers in

Neil Hattangadi

3 papers receiving 341 citations

Peers

Neil Hattangadi
Comparison fields: 5 of 61
  • Genetics 249
  • Nephrology 11
  • Cancer Research 16
  • Molecular Biology 63
  • Pathology and Forensic Medicine 15
Replace Irina Lagovsky with:
Irina Lagovsky Israel
Alena Puchmajerová Czechia
Qingwei Qi China
Jolanta Szymańska-Pasternak Poland
Stéphanie Maupetit‐Mehouas France
Soraya Benhamamouch Algeria
Senwei Tang China
Erica Sanford Kobayashi United States
Elham Al Mardawi Saudi Arabia
Hidetaka Miyauchi Japan
Neil Hattangadi relative to Irina Lagovsky Israel Irina Lagovsky's profile →
Citations per field
00.5×2.9×
Irina Lagovsky · 1×
Citations per year

Countries citing papers authored by Neil Hattangadi

Since Specialization
Citations

This map shows the geographic impact of Neil Hattangadi'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 Neil Hattangadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Hattangadi more than expected).

Fields of papers citing papers by Neil Hattangadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil Hattangadi. 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 Neil Hattangadi. The network helps show where Neil Hattangadi may publish in the future.

Co-authors

The 15 scholars most cited alongside Neil Hattangadi, 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 Neil Hattangadi Line = papers co-authored together Neil Hattangadi links everyone, so they are left out of the graph.

All Works

About Neil Hattangadi

Neil Hattangadi is a scholar working on Cognitive Neuroscience, Epidemiology, Genetics, Developmental and Educational Psychology and Infectious Diseases, having authored 3 papers that have together received 347 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (1 paper), Genomics and Rare Diseases (1 paper), Genetic Associations and Epidemiology (1 paper), Behavioral and Psychological Studies (1 paper), Genomic variations and chromosomal abnormalities (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Genetics (249 citations), Nephrology (11 citations), Cancer Research (16 citations), Molecular Biology (63 citations) and Pathology and Forensic Medicine (15 citations). Neil Hattangadi has collaborated with scholars based in United States. Frequent co-authors include Stephen L. Hauser, David Altshuler, Stephen J. O’Brien, David A. Hafler, Michael W. Smith, Kirk E. Lohmueller, David Reich, Mark J. Daly, Barton Lane and Jorge R. Oksenberg. Their work appears in journals such as Translational Psychiatry, The American Journal of Human Genetics and Journal of Integrative Neuroscience.

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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