B. Pym

21 papers and 764 indexed citations i.

About

B. Pym is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, B. Pym has authored 21 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Immunology. Recurrent topics in B. Pym’s work include Monoclonal and Polyclonal Antibodies Research (6 papers), Animal Genetics and Reproduction (5 papers) and RNA and protein synthesis mechanisms (5 papers). B. Pym is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Animal Genetics and Reproduction (5 papers) and RNA and protein synthesis mechanisms (5 papers). B. Pym collaborates with scholars based in United Kingdom, United States and Italy. B. Pym's co-authors include Peter N. Goodfellow, S. M. Darling, George Banting, Mark S. Palmer, Peter W. Andrews, P.N. Goodfellow, Larry J. Shapiro, T. Mohandas, M. Parkar and Paul J. Goodfellow and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The EMBO Journal.

In The Last Decade

Co-authorship network of co-authors of B. Pym i

Fields of papers citing papers by B. Pym

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by B. Pym

Since Specialization
Citations

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