Inm Day

5 papers and 69 indexed citations i.

About

Inm Day is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Inm Day has authored 5 papers receiving a total of 69 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Surgery. Recurrent topics in Inm Day’s work include S100 Proteins and Annexins (2 papers), Vitamin D Research Studies (1 paper) and Genetic Associations and Epidemiology (1 paper). Inm Day is often cited by papers focused on S100 Proteins and Annexins (2 papers), Vitamin D Research Studies (1 paper) and Genetic Associations and Epidemiology (1 paper). Inm Day collaborates with scholars based in United Kingdom and United States. Inm Day's co-authors include R. J. Thompson, S.P. Craig, Ian Craig, George J. Miller, Andrew Collins, Tom R. Gaunt, Nikolas Maniatis, Santiago Rodrı́guez, N.E. Morton and Allison Cox and has published in prestigious journals such as Atherosclerosis, Biochemical Society Transactions and Cytogenetic and Genome Research.

In The Last Decade

Co-authorship network of co-authors of Inm Day i

Fields of papers citing papers by Inm Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Inm Day

Since Specialization
Citations

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

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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2025