Nan M. Laird

235 papers and 66.8k indexed citations i.

About

Nan M. Laird is a scholar working on Statistics and Probability, Genetics and Molecular Biology. According to data from OpenAlex, Nan M. Laird has authored 235 papers receiving a total of 66.8k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Statistics and Probability, 71 papers in Genetics and 27 papers in Molecular Biology. Recurrent topics in Nan M. Laird’s work include Statistical Methods and Bayesian Inference (65 papers), Genetic Associations and Epidemiology (63 papers) and Statistical Methods and Inference (33 papers). Nan M. Laird is often cited by papers focused on Statistical Methods and Bayesian Inference (65 papers), Genetic Associations and Epidemiology (63 papers) and Statistical Methods and Inference (33 papers). Nan M. Laird collaborates with scholars based in United States, United Kingdom and Germany. Nan M. Laird's co-authors include Rebecca DerSimonian, James H. Ware, Garrett M. Fitzmaurice, Steve Horvath, Xin Xu, Christoph Lange, Ann G. Lawthers, Liesi E. Hebert, Peter Slasor and Paul C. Weiler and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Nan M. Laird i

Fields of papers citing papers by Nan M. Laird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nan M. Laird. 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 Nan M. Laird. The network helps show where Nan M. Laird may publish in the future.

Countries citing papers authored by Nan M. Laird

Since Specialization
Citations

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