Mihir Kamat

8.1k citations
3 papers · 2.2k indexed · 2 hit papers · h-index 3
Topics
Biomedical Text Mining and Ontologies (2 papers)Genetic Associations and Epidemiology (2 papers)Bioinformatics and Genomic Networks (2 papers)
Partner nations
United Kingdom

In The Last Decade

Mihir Kamat

3 papers receiving 2.2k citations

Hit Papers

PhenoScanner V2: an expanded tool for searching human gen...2016202620192022201920164008001.2k

Peers

Mihir Kamat
Comparison fields: 5 of 100
  • Genetics 1000
  • Molecular Biology 646
  • Physiology 324
  • Epidemiology 309
  • Rheumatology 276
Replace Praveen Surendran with:
Praveen Surendran United Kingdom
Veronika Skrivankova Switzerland
Benjamin Woolf United Kingdom
James R Staley United Kingdom
Tom G. Richardson United Kingdom
Benjamin B. Sun United Kingdom
Suat Şimşek Netherlands
Jean Morrison United States
Ilir Agalliu United States
Wes Spiller United Kingdom
Mihir Kamat relative to Praveen Surendran United Kingdom Praveen Surendran's profile →
Citations per field
00.5×1.5×
Praveen Surendran · 1×
Citations per year

Countries citing papers authored by Mihir Kamat

Since Specialization
Citations

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).

Fields of papers citing papers by Mihir Kamat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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
#WorkIndexed citations
1
PhenoScanner V2: an expanded tool for searching human genotype–phenotype associationsbreakdown →
1269
2
PhenoScanner: a database of human genotype–phenotype associationsbreakdown →
883
3 16

About Mihir Kamat

Mihir Kamat is a scholar working on Genetics, Molecular Biology and Infectious Diseases, having authored 3 papers that have together received 2.2k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (2 papers), Genetic Associations and Epidemiology (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Genetics (1000 citations), Rheumatology (276 citations) and Gastroenterology (76 citations). Mihir Kamat has collaborated with scholars based in United Kingdom. Frequent 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. Their work appears in journals such as Bioinformatics and Human Mutation.

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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