Tensing Maa

35 papers and 417 indexed citations i.

About

Tensing Maa is a scholar working on Physiology, Epidemiology and Neurology. According to data from OpenAlex, Tensing Maa has authored 35 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 9 papers in Epidemiology and 9 papers in Neurology. Recurrent topics in Tensing Maa’s work include Simulation-Based Education in Healthcare (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (9 papers) and Sepsis Diagnosis and Treatment (6 papers). Tensing Maa is often cited by papers focused on Simulation-Based Education in Healthcare (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (9 papers) and Sepsis Diagnosis and Treatment (6 papers). Tensing Maa collaborates with scholars based in United States, Canada and China. Tensing Maa's co-authors include Nicole O’Brien, Karin Reuter‐Rice, Keith Owen Yeates, Ilana Harwayne‐Gidansky, Catharine M. Walsh, Chrystal Rutledge, John A. Kessler, Todd P. Chang, Maya Dewan and Maria L.V. Dizon and has published in prestigious journals such as PEDIATRICS, Critical Care Medicine and Academic Medicine.

In The Last Decade

Co-authorship network of co-authors of Tensing Maa i

Fields of papers citing papers by Tensing Maa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tensing Maa

Since Specialization
Citations

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