MARCIA SHAW

14 papers and 357 indexed citations i.

About

MARCIA SHAW is a scholar working on Epidemiology, Dermatology and Molecular Biology. According to data from OpenAlex, MARCIA SHAW has authored 14 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Dermatology and 3 papers in Molecular Biology. Recurrent topics in MARCIA SHAW’s work include Herpesvirus Infections and Treatments (3 papers), Biology and Pathology of Keratins and Related Disorders (2 papers) and Sarcoidosis and Beryllium Toxicity Research (2 papers). MARCIA SHAW is often cited by papers focused on Herpesvirus Infections and Treatments (3 papers), Biology and Pathology of Keratins and Related Disorders (2 papers) and Sarcoidosis and Beryllium Toxicity Research (2 papers). MARCIA SHAW collaborates with scholars based in United Kingdom. MARCIA SHAW's co-authors include Martin M. Black, Phillip H. McKee, David Lowe, M. Katz, Daphne M. Lawrence, Melanie King, J E Banatvala, J. M. Best, John R. Gibson and Michael Klaber and has published in prestigious journals such as Journal of Immunological Methods, British Journal of Dermatology and Clinical Endocrinology.

In The Last Decade

Co-authorship network of co-authors of MARCIA SHAW i

Fields of papers citing papers by MARCIA SHAW

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by MARCIA SHAW

Since Specialization
Citations

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