Maya Chopra

1.5k citations
25 papers · 406 indexed · h-index 11
Topics
Genomics and Rare Diseases (7 papers)Neurogenetic and Muscular Disorders Research (4 papers)Genomic variations and chromosomal abnormalities (4 papers)

In The Last Decade

Maya Chopra

23 papers receiving 400 citations

Peers

Maya Chopra
Comparison fields: 5 of 66
  • Genetics 174
  • Molecular Biology 151
  • Physiology 110
  • Oncology 57
  • Pediatrics, Perinatology and Child Health 51
Replace Eugênia Ribeiro Valadares with:
Eugênia Ribeiro Valadares Brazil
Luigina Spaccini Italy
Cristina da Silva United States
Susanne Gerit Kircher Austria
Geetha Anand United Kingdom
Mislen Bauer United States
Kei Shioda Japan
Karin Weiss Israel
Alina Kurolap Israel
G. Bartalini Italy
Maya Chopra relative to Eugênia Ribeiro Valadares Brazil Eugênia Ribeiro Valadares's profile →
Citations per field
00.5×2.8×
Eugênia Ribeiro Valadares · 1×
Citations per year

Countries citing papers authored by Maya Chopra

Since Specialization
Citations

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

Fields of papers citing papers by Maya Chopra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Chopra

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Chopra. A scholar is included among the top collaborators of Maya Chopra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maya Chopra. Maya Chopra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 3
5 0
6 3
7 3
8 5
9 1
10 12
11 7
12 9
13 23
14 39
15 1
16 3
17 101
18 13
19 67
20 20

About Maya Chopra

Maya Chopra is a scholar working on Genetics, Genetics and Cognitive Neuroscience, having authored 25 papers that have together received 406 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (7 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Genomic variations and chromosomal abnormalities (4 papers). The work is most often cited by research in Genetics (174 citations), Physiology (110 citations) and Psychiatry and Mental health (51 citations). Maya Chopra has collaborated with scholars based in United States, Australia and China. Frequent co-authors include David Mowat, John A. Lawson, Seán Kennedy, Danny Flanagan, Michael Cardamone, Anthony Vandersteen, Uluç Yiş, Cecilia Giunta, Matthias R. Baumgartner and Marius Kraenzlin. Their work appears in journals such as Journal of Clinical Investigation, Annals of Neurology and The American Journal of Human Genetics.

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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