Mihir Kamat is a scholar working on Molecular Biology, Genetics and Infectious Diseases.
According to data from OpenAlex, Mihir Kamat has authored 3 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Genetics and 0 papers in Infectious Diseases. Recurrent topics in Mihir Kamat's work include Biomedical Text Mining and Ontologies (2 papers), Genetic Associations and Epidemiology (2 papers) and Bioinformatics and Genomic Networks (2 papers). Mihir Kamat is often cited by papers focused on Biomedical Text Mining and Ontologies (2 papers), Genetic Associations and Epidemiology (2 papers) and Bioinformatics and Genomic Networks (2 papers). Mihir Kamat collaborates with scholars based in United Kingdom. Mihir Kamat's co-authors include John Danesh, Praveen Surendran, Robin Young, James Blackshaw, Stephen Burgess, James R Staley, Adam S. Butterworth, Ian O. Ellis, Benjamin B. Sun and Dirk S. Paul and has published in prestigious journals such as Bioinformatics and Human Mutation.
In The Last Decade
Mihir Kamat
3 papers
receiving
2.2k citations
Hit Papers
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
PhenoScanner V2: an expanded tool for searching human genotype–phenotype associations
20191.3k citationsMihir Kamat, James Blackshaw et al.Bioinformaticsprofile →
PhenoScanner: a database of human genotype–phenotype associations
2016883 citationsJames R Staley, James Blackshaw et al.Bioinformaticsprofile →
This map shows the geographic impact of Mihir Kamat'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 Mihir Kamat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihir Kamat more than expected).
This network shows the impact of papers produced by Mihir Kamat. 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 Mihir Kamat. The network helps show where Mihir Kamat may publish in the future.
Co-authorship network of co-authors of Mihir Kamat
This figure shows the co-authorship network connecting the top 25 collaborators of Mihir Kamat.
A scholar is included among the top collaborators of Mihir Kamat 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 Mihir Kamat. Mihir Kamat is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
3 of 3 papers shown
#
Work
Indexed citations
1
PhenoScanner V2: an expanded tool for searching human genotype–phenotype associations breakdown →
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
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