Kokila Chotai

1.5k citations
14 papers · 739 indexed · h-index 10

Kokila Chotai

14 papers receiving 709 citations

Peers

Kokila Chotai
Comparison fields: 5 of 65
  • Neurology 149
  • Nephrology 69
  • Cellular and Molecular Neuroscience 156
  • Genetics 215
  • Epidemiology 199
Replace António Guimarães with:
António Guimarães Portugal
Laura Cassina Italy
Brittany P. Frank United States
Jingzhen Yuan United States
Céline J. Rocca United States
Shinji Kagimoto Japan
Silvia Nerini‐Molteni Italy
Mikiro Mori Japan
M.J. Bastié France
Takahiro Kawaji Japan
Kokila Chotai relative to António Guimarães Portugal António Guimarães's profile →
Citations per field
00.5×6.9×
António Guimarães · 1×
Citations per year

Countries citing papers authored by Kokila Chotai

Since Specialization
Citations

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

Fields of papers citing papers by Kokila Chotai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kokila Chotai, 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 Kokila Chotai Line = papers co-authored together Kokila Chotai links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200714
2 20033
3 199837
4
Phenotypic characterization of individuals with 30-40 CAG repeats in the Huntington disease (HD) gene reveals HD cases with 36 repeats and apparently normal elderly individuals with 36-39 repeats.
1996171
5 19953
6 199438
7 199214
8 199264
9
The molecular basis of parathyroid tumours in multiple endocrine neoplasia type 1
19902
10 1989264
11 198327
12 19808
13 198080
14 197814

About Kokila Chotai

Kokila Chotai is a scholar working on Virology, Pediatrics, Perinatology and Child Health and Genetics, having authored 14 papers that have together received 739 indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (4 papers), Prenatal Screening and Diagnostics (3 papers), Lysosomal Storage Disorders Research (3 papers), Genetic Neurodegenerative Diseases (3 papers), Neuroendocrine Tumor Research Advances (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Neurology (149 citations), Nephrology (69 citations) and Cellular and Molecular Neuroscience (156 citations). Kokila Chotai has collaborated with scholars based in United Kingdom, Australia and Belgium. Frequent co-authors include Rajesh V. Thakker, P Bouloux, G. M. Besser, N.K. Spurr, J. L. H. O’Riordan, Peter Broad, C Wooding, Lynne van Herwerden, Bryan Winchester and Stewart J. Payne. Their work appears in journals such as New England Journal of Medicine, Nature Genetics and Biochemical Journal.

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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